From 88d7332d46f92273f0891a4379a77eb659a8919d Mon Sep 17 00:00:00 2001 From: Kanishk Dhariwal <166228105+Kanishk2327@users.noreply.github.com> Date: Sat, 4 Jan 2025 14:46:20 +0530 Subject: [PATCH] NOT ABLE TO DO REGRESSION FROM SCRATCH --- .../Data-Melbourne_F.csv | 1383 ++++++++++ .../Kanishk_Dhariwal_230525.ipynb | 2452 +++++++++++++++++ 2 files changed, 3835 insertions(+) create mode 100644 IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Data-Melbourne_F.csv create mode 100644 IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Kanishk_Dhariwal_230525.ipynb diff --git a/IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Data-Melbourne_F.csv b/IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Data-Melbourne_F.csv new file mode 100644 index 00000000..52b9138c --- /dev/null +++ b/IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Data-Melbourne_F.csv @@ -0,0 +1,1383 @@ +avg_outflow,avg_inflow,total_grid,Am,BOD,COD,TN,T,TM,Tm,SLP,H,PP,VV,V,VM,VG,year,month,day 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+3.025,3.569,284030,49,383,766,61.786,9.9,14.9,7,0,56,0,0,7.4,18.3,0,2014,6,5 +3.028,2.807,299010,41,370,740,60.952,11.4,15,5.9,0,56,0.25,0,9.8,20.6,0,2014,6,6 +3.03,4.139,244693,34,350,700,61.228,10.2,14.2,3,0,54,0,51.5,10.9,22.2,0,2014,6,9 +3.186,3.472,239908,42,540,785,60,11.1,18.1,6.3,0,74,0,0,17.8,25.9,0,2014,6,10 +3.001,3.386,269410,43,450,900,63.052,12.4,16.2,6.4,0,74,0,0,25.2,42.4,57.6,2014,6,11 +3.558,3.726,280648,39,435,870,63.775,12.7,15,9.5,0,75,3.3,10.3,24.1,42.4,63,2014,6,12 +2.975,3.593,250741,35,330,660,61.866,10.9,14.3,7.6,0,79,0.51,0,18,21.8,0,2014,6,15 +3.751,4.333,256136,42,250,711,62.355,11.2,16,8.3,0,52,1.52,51.8,19.4,29.4,0,2014,6,16 +4.515,4.521,260096,34,382,764,61.866,11.6,15.1,8.7,0,76,0,0,11.3,20.6,0,2014,6,17 +3.341,3.605,273464,33,346.5,693,60.662,9.8,13.1,6,0,71,0,10.6,12.6,38.9,46.5,2014,6,18 +3.014,3.543,270896,35,368.5,737,61.384,10.1,11,5.4,0,52,0,0,31.1,44.6,61.1,2014,6,19 +3.219,3.42,262206,38,330,750,58,12.4,14.5,7.7,0,75,0,0,35.9,68.3,55.2,2014,6,22 +3.167,3.689,299892,32,310,620,58.036,8.7,14.6,4.9,0,72,2.79,51.8,26.3,53.5,75.9,2014,6,23 +3.011,3.553,297802,24,308,616,56.8,10.6,13.6,4.1,0,70,0,0,32.8,74.1,103.5,2014,6,24 +3.122,3.386,303524,42,568.5,1137,68.183,12.7,15.3,7.7,0,66,0.25,0,29.1,44.6,66.5,2014,6,25 +2.96,3.306,316848,43,360,720,60.786,11.8,15,6.7,0,66,0,0,27.4,51.9,70.6,2014,6,26 +3.012,3.586,274982,39,367.5,735,60.981,7.5,11.7,5,0,52,5.59,512,22.8,35.2,51.9,2014,6,29 +3.228,3.386,281415,33,360,774,60.758,9.7,12.3,4.8,0,50,0.51,51.8,19.8,33.5,0,2014,6,30 +3.018,3.319,291995,44,347.5,695,61.533,11.1,12,7.4,0,75,0,10,16.9,25.9,0,2014,7,1 +3.413,3.606,260039,40,367.5,735,61.541,10.6,15.8,5.5,0,68,0,10,20.4,42.4,0,2014,7,2 +3.015,3.529,274374,39,380.5,761,61.541,8.7,12,5.4,0,82,0,10,35.9,53.5,63,2014,7,3 +3.014,3.424,277587,35,290,580,55.946,9.2,13.2,3.9,0,86,0.25,10.9,16.7,31.7,0,2014,7,6 +3.029,3.283,275868,36,367,734,60.662,10.4,15.3,3.1,0,74,0,10,33,50,68.3,2014,7,7 +2.715,3.306,279933,33,410,737,50,10.9,13.6,7.9,0,67,0,10,43.5,68.3,85.2,2014,7,8 +3.275,3.309,311573,37,255,510,57.99,7.7,12.2,4.8,0,84,8.13,9.5,18.3,40.7,0,2014,7,9 +3.011,3.331,305095,49,250,500,58.526,8.9,13.5,4.2,0,80,0,10,26.1,38.9,55.4,2014,7,10 +3.01,3.525,286865,39,277,554,58.616,11.1,13,3.2,0,67,0,10,17.2,22.2,0,2014,7,13 +3.016,3.389,312907,40,307.5,615,58.617,9.2,12.4,6.6,0,72,0,10,16.5,37,0,2014,7,14 +3.333,3.403,307497,39,300,600,58.616,10,11.6,6.8,0,78,0.51,10,22.6,38.9,57.6,2014,7,15 +3.021,3.377,256799,31,250,586,54.63,10.4,13.8,7,0,73,0,10,27,38.9,57.6,2014,7,16 +3.012,3.403,219150,38,337.5,675,60.991,7.2,11.8,4.5,0,70,3.81,10,27.2,57.6,0,2014,7,17 +3.015,3.343,273029,37,372.5,745,61.033,7.6,12.8,4,0,87,0,10,8.3,18.3,0,2014,7,20 +3.009,3.345,342539,31,382.5,765,60.406,7.3,13.4,3,0,86,0.25,6.9,8.9,14.8,0,2014,7,21 +3.278,3.571,354523,40,370,740,60.629,5,10.1,0,0,97,0,4.7,7.8,14.8,0,2014,7,22 +3.013,3.46,352130,40,420,840,62.257,8.6,12.4,-0.4,0,78,0,0,16.5,29.4,0,2014,7,23 +2.988,3.535,339981,39,430,920,46,11.3,14,4.3,0,76,0,10,24.4,35.2,53.5,2014,7,24 +3.003,3.438,366871,35,306.5,613,56.089,11.3,16.4,5.4,0,71,0,10,29.4,50,57.6,2014,7,27 +3.17,3.44,315535,33,325,650,61.396,12.2,16.2,7.5,0,67,0.25,10,32.8,46.5,51.9,2014,7,28 +3.326,3.484,292272,31,341.5,683,61.396,13.8,16,9.1,0,71,0,10,29.1,48.2,55.4,2014,7,29 +3.03,3.431,300308,36,350,779,61.396,14.8,18,10.2,0,63,0,10,30.6,55.4,74.1,2014,7,30 +3.264,3.492,315762,29,373,746,60.563,9.1,18.6,4,0,62,6.1,9.2,33.3,53.5,88.9,2014,7,31 +3.053,3.467,230599,35,279,558,55.946,6.6,13.8,0,0,57,0,10,18.5,25.9,0,2014,8,3 +1.606,3.28,322902,36,369,738,60.601,8.8,14.1,1.4,0,55,0,9.7,16.1,25.9,0,2014,8,4 +3.354,3.175,323313,37,340,706,57,12.3,15.8,4.5,0,62,0,10,13.5,24.1,0,2014,8,5 +3.097,3.613,319754,39,344.5,689,61.533,10.2,15.3,7.6,0,78,0.51,9.7,14.3,22.2,0,2014,8,6 +3.049,3.486,325743,34,352.5,705,61.24,10.8,12.8,10,0,83,0.51,1.5,13,22.2,0,2014,8,7 +3.048,3.347,285829,33,368.5,737,60.662,10.2,15.3,6.7,0,62,0,10,21.5,40.7,0,2014,8,8 +3.219,3.416,306656,37,336.5,673,60.563,6.4,12.3,3.8,0,79,5.33,10,18.9,40.7,57.6,2014,8,10 +3.025,3.326,326631,30,310,631,59.849,6.6,11.1,3.1,0,79,0,10,11.9,27.8,0,2014,8,11 +3.371,4.007,362228,27,390,780,58.612,8.2,11.5,3.3,0,85,0,10,10.7,22.2,0,2014,8,12 +3.737,4.389,346222,25,309,618,56.764,10,13.5,6.4,0,80,0.51,9.8,10.2,24.1,0,2014,8,13 +4.558,4.834,219950,25,311,622,56.892,7.3,14.5,2.5,0,78,0,10,10.6,18.3,0,2014,8,14 +3.576,4.076,330714,32,240,734,55,10.9,14,7.3,0,75,0,10,22.6,33.5,0,2014,8,17 +3.399,3.648,349739,36,424,848,63.091,10.3,12.7,8.2,0,88,3.81,9.7,18,27.8,0,2014,8,18 +3.352,3.577,323562,24,355,710,59.446,9.9,12,8,0,70,0,10,14.8,24.1,0,2014,8,19 +3.32,3.687,318822,25,478.5,957,63.643,9.5,12.4,5.8,0,75,0,10,11.1,18.3,0,2014,8,20 +3.025,3.53,341913,22,385,770,58.612,10.8,17,5.5,0,73,0,10,17.6,27.8,0,2014,8,21 +3.052,3.261,341476,30,320,640,60.682,11.7,15.5,7.7,0,70,0.51,10,16.5,25.9,0,2014,8,24 +3.048,3.574,333601,25,280,661,59.446,10.6,15.1,7.8,0,91,2.79,6.9,12.6,24.1,0,2014,8,25 +3.041,3.455,305988,35,342.5,685,60.406,10.9,17.7,5,0,80,0.25,10,10.4,22.2,0,2014,8,26 +3.207,3.443,304984,31,509.5,1019,63.643,10.1,19,2.7,0,76,0,8,8,18.3,0,2014,8,27 +3.21,3.552,253707,38,400,800,61.033,11.3,20.3,2.3,0,70,0,5.5,7.2,18.3,0,2014,8,28 +3.061,3.472,316189,33,335,670,61.591,16.2,21,9.9,0,49,0,0,37,51.9,74.1,2014,8,31 +3.068,3.357,296212,22,387.5,775,59.446,9.7,15.9,7,0,84,8.89,9.7,16.5,27.8,0,2014,9,1 +3.204,3.422,298283,42,400,680,56,8.6,13.8,4.9,0,76,1.52,10,20.9,38.9,53.5,2014,9,2 +3.09,3.419,293375,36,343.5,687,60.505,7.7,13.1,2,0,74,0,10,11.7,22.2,0,2014,9,3 +3.05,3.528,281730,36,412.5,825,61.033,9.1,14.6,1.7,0,78,0,10,11.7,22.2,0,2014,9,4 +3.319,3.396,294510,35,345,690,60.857,13.6,19.8,4.7,0,56,0,10,22.6,50,63,2014,9,7 +3.16,3.551,235658,42,452.5,905,63.931,17.2,21.2,8.2,0,50,0,10,46.9,64.8,92.4,2014,9,8 +3.152,3.496,281629,35,625,1250,68.183,12.9,19.6,8,0,79,12.95,9.7,22.4,59.4,79.5,2014,9,9 +3.149,3.664,240832,32,380,955,63.885,14.4,18,7.4,0,57,3.81,9.3,24.3,33.5,50,2014,9,10 +3.251,3.537,282142,37,475,950,63.643,9.3,15.4,4,0,68,0,10,19.8,38.9,50,2014,9,11 +3.256,3.828,264255,27,330,660,58.711,8.3,14.1,2.9,0,74,0,10,9.1,16.5,0,2014,9,14 +3.604,4.176,287358,34,425,850,62.257,13.3,18.1,6.4,0,79,0,9.2,14.1,24.1,0,2014,9,15 +3.908,4.724,295183,30,410,820,61.24,10.4,14,6.9,0,82,2.03,9.2,17,31.7,59.4,2014,9,16 +4.202,4.355,322165,37,360,940,62.479,16.5,26,6.6,0,62,1.52,10,28.9,57.6,74.1,2014,10,6 +3.768,4.26,331715,33,382.5,765,60.563,11.3,16.9,6.7,0,64,0.25,10,20,38.9,48.2,2014,10,7 +3.459,3.998,310535,38,386.5,773,60.406,12.8,19.8,6.5,0,70,0.25,10,13.5,24.1,0,2014,10,8 +3.897,3.674,299576,31,387.5,775,61.591,17.3,23.5,7.4,0,48,0,0,21.1,44.6,0,2014,10,9 +3.003,3.686,257216,39,370,681,61,16.5,31.3,6.9,0,55,2.03,10.3,21.3,35.2,51.9,2014,10,12 +3.179,3.769,266428,39,375,750,61.748,10.2,15.6,7.6,0,67,7.11,10,28,44.6,63,2014,10,13 +3.271,3.605,263099,34,325,650,60.662,9.6,15.6,4.6,0,61,0,10,22,42.4,55.4,2014,10,14 +3.322,3.992,252674,25,350,700,59.239,11.4,15.7,4.3,0,64,0,10,15.4,27.8,0,2014,10,15 +3.331,3.759,237415,25,348.5,697,60.073,11.3,15.9,7,0,71,1.27,9.8,15.7,27.8,0,2014,10,16 +3.591,4.062,244135,42,355,710,62.569,15.8,28.2,9,0,55,0,10,28.9,48.2,68.3,2014,10,19 +3.728,3.533,242707,41,280,995,63.052,12.7,21,5.5,0,59,0,0,19.1,33.5,53.5,2014,10,20 +3.093,4.072,259769,51,414.5,829,63.006,21,27.6,5,0,48,0,0,27.6,57.6,72.2,2014,10,21 +3.531,3.915,245832,52,422.5,845,64.849,20.8,31.3,13.7,0,56,0,8.2,22.8,46.5,0,2014,10,22 +3.483,3.595,248445,48,370,740,62.246,16.1,26,13,0,81,0,9,13.1,33.5,46.5,2014,10,23 +3.357,3.661,283443,29,407.5,815,61.69,19.2,25.2,11.5,0,52,16.51,9.5,21.5,42.4,63,2014,10,26 +3.33,3.583,305252,24,310,620,57.281,13.1,25.2,8,0,55,0.76,10,26.1,50,68.3,2014,10,27 +3.267,3.59,287551,34,360,735,64,13.6,20,8,0,62,0.51,10.9,21.1,38.9,55.4,2014,10,28 +3.039,3.516,169942,40,421,842,63.729,15.6,23,7.7,0,64,0,10,10.7,27.8,0,2014,10,29 +3.939,4.498,263759,41,412.5,825,61.891,14.7,24,8,0,65,0,10,14.4,29.4,0,2014,10,30 +4.378,4.414,272029,38,327.5,655,61.033,11.2,17,6.7,0,65,0,10,15.7,31.7,46.5,2014,11,2 +3.455,3.638,272830,26,305,610,53.636,18.4,29.3,10.4,0,37,0,10,28.9,42.4,57.6,2014,11,4 +3.398,3.709,245850,32,260,655,61.339,12.3,18.2,7,0,60,0,10,19.1,31.7,48.2,2014,11,5 +3.057,3.809,283417,48,370,740,62.412,16.1,27,7.3,0,50,0,10,14.8,31.7,0,2014,11,6 +3.43,3.639,221996,39,370,740,62.218,13.9,19.9,8,0,61,0,10,18.9,29.4,57.6,2014,11,9 +3.313,3.472,257268,28,350,700,60.424,14.3,20.5,8.3,0,57,0,10,23,35.2,53.5,2014,11,10 +3.115,3.475,277460,28,365,730,58.612,12,18.3,5.9,0,63,0,10,15.4,27.8,0,2014,11,11 +3.752,4.458,241697,26,455,910,62.941,16.9,27.4,5,0,53,0,0,12.2,27.8,0,2014,11,12 +3.746,3.868,250057,40,350,715,54,27.2,33.4,18.9,0,20,0,0,20.2,37,61.1,2014,11,13 +3.438,3.814,265479,21,216,432,53.053,14.5,20.2,10.1,0,62,0.51,10,20.9,35.2,50,2014,11,16 +3.4,3.75,224226,37,335,670,62.023,14.1,21.2,8,0,59,0.25,10,18.3,37,51.9,2014,11,17 +2.529,3.749,250850,41,412.5,825,62.218,15.1,20.2,7.3,0,63,0,10,14.3,25.9,0,2014,11,18 +3.542,3.938,249239,48,430,840,63.885,23.5,29,9.6,0,26,0,0,26.3,59.4,75.9,2014,11,19 +3.827,4.17,266688,44,350,700,63.521,20.9,31.2,15,0,55,0,10,23.3,44.6,51.9,2014,11,20 +3.62,3.992,116638,34,267.5,535,55.506,18.2,25.7,12,0,64,0,10,15.4,46.5,53.5,2014,11,23 +3.994,4.05,254734,33,360,720,62.023,13.7,22.8,8.6,0,80,4.57,10,19.4,42.4,61.1,2014,11,24 +3.846,3.889,261025,35,360,600,54,14.7,21.6,8.5,0,55,0,10,18.5,29.4,46.5,2014,11,25 +3.216,3.628,269985,37,380,760,61.866,14.1,18,8.5,0,64,0,9.7,16.9,27.8,0,2014,11,26 +3.366,3.788,278556,25,415,830,63.155,14,18.8,10,0,67,0,10,15.4,29.4,0,2014,11,27 +3.644,3.852,270675,41,347,694,62.865,28.1,35,14.2,0,37,0,10,29.6,64.8,66.5,2014,11,30 +3.424,3.745,263073,34,320,640,60.938,19.7,28.7,15,0,72,0.51,10,14.4,33.5,0,2014,12,1 +3.489,3.759,254788,40,755,1510,68.183,19.1,27.2,14.7,0,68,0,10,14.6,29.4,0,2014,12,2 +3.485,3.763,258868,50,472.5,945,64.477,18.6,23.2,15.2,0,84,10.92,8.4,15.2,29.4,0,2014,12,3 +2.878,3.744,283142,42,290,775,61.533,20.5,26,16,0,74,0.25,9.8,17.8,25.9,0,2014,12,4 +3.799,4.033,270596,22,380.5,761,59.446,15.2,17.3,13.2,0,88,0.76,9,15.6,27.8,0,2014,12,7 +3.506,3.52,226507,28,340,680,59.545,16.2,20.1,13.9,0,72,0,10,17.2,25.9,0,2014,12,8 +2.74,2.854,262896,30,420,840,63.136,15.5,21.5,10.9,1015.7,71,0,16.3,11.6,20.6,0,2014,12,9 +3.779,4.215,249125,30,290,760,69,17.1,20.3,10.7,0,50,0.51,9.8,19.4,31.7,48.2,2014,12,10 +3.861,4.326,271225,36,442.5,885,63.886,16.6,20.7,13.8,0,76,0.25,10,23.2,40.7,0,2014,12,11 +3.747,3.932,203326,35,385,770,61.668,18.8,26.9,14,0,66,0,10,15.4,29.4,0,2014,12,14 +3.688,3.939,235077,34,380,760,61.866,18.6,25.1,13.5,0,74,0,9,13.1,24.1,0,2014,12,15 +3.238,3.635,270652,34,420,1130,67.315,18.4,33.6,8.7,0,35,0,10,28.3,64.8,85.2,2014,12,16 +3.429,4.027,247302,34,533.5,1067,64.953,15.9,23,8.5,0,48,0,0,16.1,29.4,0,2014,12,17 +4.893,5.121,229587,30,460,920,63.931,15,24.4,9,0,61,1.78,9.8,21.7,61.1,63,2014,12,18 +3.598,4.028,271184,34,290,755,60,23.2,33.3,10.6,0,47,0,9.8,14.3,35.2,0,2014,12,21 +3.418,3.735,266258,34,405,810,61.24,22.7,26,15.8,0,67,0.51,10,9.4,22.2,0,2014,12,22 +3.257,3.552,257576,25,415,830,63.201,17.9,28.7,10,0,67,0,9.8,18.5,31.7,0,2014,12,23 +3.269,4.05,246012,30,345,690,62.061,14.1,19.9,7.9,0,57,0,10,17.2,31.7,50,2014,12,26 +3.06,3.744,222378,34,370,680,63.227,24.1,33.4,10.7,0,32,0,0,16.7,35.2,51.9,2014,12,28 +3.848,3.984,186601,34,415,830,63.885,16.6,28.6,10.6,0,48,1.02,10,27.8,53.5,79.5,2014,12,29 +3.492,3.835,200055,41,405,810,62.243,15.9,24.2,8,0,52,0,10,21.9,44.6,59.4,2014,12,30 +3.499,3.793,219828,42,470,940,66.354,19.4,32,10.8,0,63,0,10,14.3,35.2,0,2015,1,1 +3.546,4.045,214449,40,365,730,62.019,16.8,24.8,11,0,64,0,10,17.6,31.7,0,2015,1,4 +3.863,4.326,221233,39,360,900,70,18.7,24.6,11.3,0,65,0,10,16.3,25.9,0,2015,1,5 +4.137,4.487,271295,29,465,930,65.049,22.7,33,13.8,0,62,0,9.3,14.4,37,51.9,2015,1,6 +3.689,4.051,310031,38,482.5,965,65.878,29.2,40.3,16.3,0,43,1.52,10,20.9,50,61.1,2015,1,7 +1.795,3.704,259810,37,442.5,885,64.523,21.9,29.9,16,0,72,2.79,8,14.4,35.2,53.5,2015,1,8 +3.044,4.3,184752,32,375,750,61.668,20.5,28.1,14.8,0,69,0,10,17.6,31.7,0,2015,1,11 +2.809,4.459,185148,36,425,850,65.531,25.3,31.2,14.6,0,49,0,10,17.6,35.2,46.5,2015,1,12 +3.634,3.719,287118,40,350,865,63.885,21.1,25.5,17,0,78,11.18,10.6,24.8,46.5,64.8,2015,1,13 +3.026,3.651,292543,32,355,710,61.396,17.4,22.6,14,0,72,0,10,28.5,42.4,53.5,2015,1,14 +3.095,3.713,266493,39,405.5,811,61.591,15.1,20.5,9.6,0,71,0,10,17.2,29.4,0,2015,1,15 +3.035,3.402,203637,50,405,810,62.214,15.7,20.1,11.6,0,52,0,10,23.2,31.7,46.5,2015,1,18 +3.327,3.527,226385,40,395,790,62.569,17.2,24,10,0,55,0,0,21.5,42.4,63,2015,1,19 +3.213,2.713,251356,44,422,844,64.522,23.8,30.1,10.1,0,47,0,10,20,38.9,57.6,2015,1,20 +3.38,4.108,258384,50,320,945,68,24.9,33.7,17,0,50,0,8.4,16.9,35.2,0,2015,1,21 +4.411,5.017,236364,53,425.5,851,65.531,25.4,36,16.7,0,52,0,0,15.7,37,46.5,2015,1,22 +4.127,4.055,234543,49,450,900,64.523,20,29.6,11.9,0,58,0,9.8,18.1,35.2,46.5,2015,1,24 +4.035,4.2,236791,38,340,680,62.218,15.3,21.5,7.5,0,54,0,10,23.2,33.5,0,2015,1,26 +3.056,3.916,269257,39,360,720,61.814,15.9,20.5,11,0,58,0,10,25.2,35.2,48.2,2015,1,27 +4.1,5.32,268005,38,405,810,61.591,17.6,25.5,10.7,0,52,0,10,28,50,63,2015,1,28 +5.985,4.579,202419,43,290,875,64.522,16.4,22.8,10.4,0,57,0,10,25.6,42.4,55.4,2015,1,29 +2.146,3.882,184654,49,290,580,58.389,15.8,23,12,0,71,0.51,9.7,24.3,33.5,51.9,2015,1,31 +4.605,4.563,223394,40,346.5,693,62.317,15.7,19,12.2,0,74,1.52,10,24.6,33.5,50,2015,2,1 +4.75,6.509,210924,32,380,760,62.023,17.4,23.6,13.9,0,64,0,10,21.7,35.2,0,2015,2,2 +5.969,6.553,241560,31,397.5,795,62.061,17.2,22.7,13.7,0,58,0,10,22.8,31.7,46.5,2015,2,3 +5.969,6.302,247056,43,350,865,73,15.3,20.2,10.6,0,66,0.25,10,19.1,35.2,0,2015,2,4 +6.361,7.9,235506,42,452.5,905,64.366,19.1,28,10.1,0,63,0,10,15.9,27.8,0,2015,2,5 +4.879,4.666,246107,38,420,840,64.366,17.1,26.7,13,0,67,0,10,21.3,29.4,0,2015,2,8 +4.272,4.533,242358,35,383.5,767,61.866,19.9,28,12.7,0,64,0,10,15.9,27.8,0,2015,2,9 +3.71,4.105,224013,36,370,840,65.531,23.9,31.1,14.9,0,58,0,0,16.9,40.7,0,2015,2,10 +3.658,4.028,228766,36,425,850,65.531,22.1,35.4,15.9,0,61,0,10,22,38.9,0,2015,2,11 +4.355,4.672,252061,37,370,740,62.023,18.9,28,14,0,63,0,10,15.6,37,0,2015,2,12 +4.082,3.767,265724,38,407.5,815,61.339,20.1,26.9,14.7,0,79,0,10,12.4,27.8,35.2,2015,2,14 +3.082,3.859,264516,30,340,680,62.443,26.2,34.7,14.6,0,41,0,10,14.8,29.4,0,2015,2,15 +3.894,4.117,249175,38,350,890,74,19.5,28.8,15.6,0,64,0,10,21.3,31.7,0,2015,2,16 +3.758,3.917,251137,39,435,870,64.256,17.6,20.7,16,0,75,0,10,15.4,20.6,0,2015,2,17 +3.744,3.799,242665,42,455,910,64.411,18.7,21.6,15.8,0,78,0,10,15.9,24.1,0,2015,2,18 +3.037,3.801,234605,36,375,750,62.875,21.5,31,15,0,70,0,10,13,25.9,0,2015,2,19 +4.186,4.223,252788,39,350,610,58.754,27.8,37,19,0,42,0,10,24.1,48.2,63,2015,2,22 +3.418,3.737,256896,36,333.5,667,61.396,17.9,30,14.9,0,67,13.72,9.2,22.2,38.9,55.4,2015,2,23 +3.428,4.257,243380,33,395,790,62.023,16.7,20.5,13.7,0,64,0,10,18.3,33.5,48.2,2015,2,24 +3.729,4.16,209192,33,390,780,61.866,20.4,27.6,13.5,0,66,0,10,12.8,22.2,0,2015,2,25 +3.419,3.883,252085,50,550,1100,68.82,19,25.3,13.9,0,72,0,10,13.5,24.1,0,2015,2,26 +4.189,4.452,294669,36,335,670,61.396,15,21.6,9,0,70,0,10,18.3,33.5,0,2015,3,1 +4.18,4.032,305444,37,360,610,56,18.5,24.1,8.7,0,59,0,10,10.6,16.5,0,2015,3,2 +4.483,4.823,291851,40,395,790,61.591,17.3,23,13,0,67,0,10,12.4,22.2,0,2015,3,3 +3.9,4.039,291310,46,350,700,61.885,17.8,25,9,0,51,0.25,9.7,22.8,42.4,63,2015,3,4 +3.312,3.895,249632,41,415,830,64.522,15.4,20.3,9.2,0,49,0,10,25.7,38.9,55.4,2015,3,5 +3.465,3.716,251624,43,465,930,64.523,16.4,20.8,12,0,80,1.02,10,17.6,37,51.9,2015,3,6 +3.493,3.789,248311,39,330,660,62.317,18.1,24.4,12.2,0,60,0,10,15.6,33.5,46.5,2015,3,9 +3.521,3.787,290098,36,540,1260,68.82,16.1,23.3,10,0,61,0,10,12.8,24.1,0,2015,3,10 +3.519,3.61,277457,35,375,750,61.434,17.6,26.6,9.3,0,57,0,10,15,29.4,0,2015,3,11 +3.536,3.835,278587,39,365,730,61.942,15.9,20,10.2,0,52,0,9.8,25,35.2,48.2,2015,3,12 +2.961,3.605,294721,39,290,580,58.616,13.8,21,8.5,0,69,0,10,19.3,35.2,55.4,2015,3,15 +3.173,3.717,286156,36,360,720,61.591,21.3,24.2,7.7,0,40,0,0,20.4,40.7,59.4,2015,3,16 +3.599,3.532,268211,44,641,1282,68.82,21.4,27,14.7,0,48,1.27,9,29.1,53.5,64.8,2015,3,17 +2.934,3.992,209680,44,360,860,62,20.2,26,14.6,0,62,0,10,20.7,57.6,74.1,2015,3,18 +4.147,3.606,228052,42,415,830,65.531,19.8,33,10,0,52,0,10,28.9,61.1,79.5,2015,3,19 +3.561,4.495,267762,43,380,760,62.441,23.2,28,8.2,0,38,0,10,28,44.6,63,2015,3,22 +3.697,4.166,276968,44,440,880,64.477,18,27,11.9,0,58,0,10,23.9,40.7,59.4,2015,3,23 +3.47,3.516,254816,36,850,1700,68.82,13.4,15,10.7,0,56,0,10,19.8,31.7,0,2015,3,24 +2.946,3.578,288791,48,470,940,65.114,14,21,7,0,54,0,10,15.9,33.5,51.9,2015,3,25 +2.962,3.68,293262,37,540,1027,65.114,14.5,19,6.9,0,51,0,10,29.6,44.6,61.1,2015,3,26 +3.049,2.972,257723,43,380,760,61.451,16,24,6.6,0,58,0,0,13.1,24.1,0,2015,3,29 +3.696,4.259,260068,35,350,855,58,16.1,24,8.4,0,64,0,10,12,27.8,0,2015,3,30 +2.987,3.816,264152,34,420,970,64.477,19.8,27,9.2,0,50,0,0,18.1,44.6,59.4,2015,3,31 +3.751,3.804,261656,49,570,1140,68.82,21.5,30,10,0,42,0,10,28,44.6,61.1,2015,4,1 +3.266,3.687,199607,42,370,740,61.186,13.2,19,5.2,0,67,0,10,18.1,27.8,0,2015,4,3 +3.147,3.608,203120,38,410,820,62.061,16.4,18,7.2,0,40,0,0,10.4,20.6,0,2015,4,6 +2.698,3.47,235405,35,480,885,65.59,12.3,17,8.4,0,82,8.89,8.5,27,40.7,59.4,2015,4,7 +2.977,2.679,266782,26,432.5,865,62.94,12.5,17,6.6,0,76,0,10,16.3,31.7,0,2015,4,8 +3.418,4.126,263134,36,495,990,64.757,12.9,18.3,6.2,0,72,0,10,14.8,22.2,0,2015,4,9 +3.267,3.522,283802,38,310,620,59.316,11.5,18.3,5,0,73,0,10,13.1,27.8,0,2015,4,12 +3.231,3.635,290642,30,475,950,65.114,14.6,21,12,0,68,0,9.5,8.5,14.8,0,2015,4,13 +2.963,3.603,307803,37,442.5,885,63.995,19.3,25,16,0,56,0,10,24.6,38.9,57.6,2015,4,14 +2.972,3.445,328693,30,590,900,66,19.6,27,14,0,64,0,10,21.9,51.9,70.6,2015,4,15 +3.364,3.901,324639,37,480,960,65.114,13.3,18,8,0,70,0,10,11.1,25.9,0,2015,4,16 +3.018,4.054,226162,29,320,640,60.632,9.6,13,5,0,66,0,10,21.1,46.5,57.6,2015,4,19 +3.789,3.732,281335,43,480,960,64.28,10.1,15.3,5,0,65,0,10,19.3,35.2,0,2015,4,20 +3.418,3.37,349614,34,395,790,61.24,12,17,7,0,71,0,10,16.9,31.7,0,2015,4,21 +3.93,6.605,222194,29,342.5,685,61.866,14.8,18.1,11.5,0,82,0,10,19.8,31.7,0,2015,4,22 +5.774,9.622,299114,29,510,970,65.114,14.9,17,12,0,86,0,9.3,12,20.6,0,2015,4,23 +3.277,4.007,346056,26,387.5,775,59.603,11.3,15.2,9.9,0,78,0,9.7,22.2,33.5,0,2015,4,26 +4.23,3.846,309250,34,485,970,65.114,11.3,14.4,8,0,78,0,10,14.6,25.9,0,2015,4,27 +2.91,3.144,317141,35,367.5,735,60.406,10.5,15,5.8,0,82,0,10,12,25.9,0,2015,4,28 +4.702,5.906,259241,42,520,945,62,10.4,17,6,0,74,0,10,11.1,18.3,0,2015,4,29 +4.401,4.079,300014,42,460,920,63.004,11.9,19,5,0,69,0,10,11.7,22.2,0,2015,4,30 +3.844,4.465,322354,35,367.5,735,60.406,11.6,18,6.5,0,78,0,9.3,12.4,22.2,0,2015,5,3 +4.272,5.115,316828,33,370,740,61.591,17.2,22,11.8,0,49,0,9.3,36.9,55.4,75.9,2015,5,4 +4.468,4.126,278662,34,430,860,63.949,12.1,16,8,0,56,0,10,27,57.6,75.9,2015,5,5 +3.571,3.874,262781,49,460,920,64.523,10.9,16,8,0,68,0,9.7,23,40.7,51.9,2015,5,6 +3.659,3.822,275288,34,530,940,65.114,11.1,14.3,9,0,71,0,10,21.5,42.4,50,2015,5,7 +3.572,4.096,329601,35,305,610,56.089,12.9,15,10,0,73,0,9.7,28,44.6,61.1,2015,5,10 +3.535,3.935,307695,35,372.5,745,61.396,13.6,15.2,12,0,66,0,9.8,22,38.9,53.5,2015,5,11 +3.566,4.077,351864,33,380,760,60.563,9,16.2,5,0,69,0,9.8,29.1,51.9,70.6,2015,5,12 +3.434,4.018,361830,25,290,570,40,9.3,12,7,0,73,0,10,24.3,33.5,50,2015,5,13 +3.396,3.711,341750,30,325,650,61.24,12.2,15,10.5,0,85,0,8.2,21.7,31.7,48.2,2015,5,14 +4.316,5.744,374614,26,295,590,53.295,12.9,20,6,0,68,0,10,17.8,25.9,0,2015,5,17 +3.429,3.224,359322,33,337.5,675,61.591,14.9,19,11,0,54,0,0,25,46.5,61.1,2015,5,18 +4.392,4.919,263942,36,370,750,61.396,13.5,16,11,0,83,0,10,26.5,42.4,61.1,2015,5,19 +3.505,3.748,361360,34,380,760,61.396,11.9,18,8.8,0,81,0,8.4,21.9,33.5,46.5,2015,5,20 +3.882,4.158,368798,27,297.5,595,53.295,10.3,12,8,0,94,0,9,10.6,18.3,0,2015,5,21 +3.653,3.961,334780,33,382.5,765,60.406,10.3,17,6,0,71,0,0,14.8,24.1,0,2015,5,24 +3.244,3.697,361330,36,440,975,68,9.9,16,5,0,72,0,0,20.2,27.8,0,2015,5,25 +3.38,3.786,378301,31,410,820,61.396,12.3,15,9.5,0,65,0,0,27.4,44.6,57.6,2015,5,26 +3.558,3.979,324196,28,350,700,59.603,13.7,17,11.9,0,74,0,10,35.7,42.4,57.6,2015,5,27 +3.815,4.688,307174,31,368,736,60.563,13.4,19,6,0,64,0,10,22.8,35.2,48.2,2015,5,28 +3.865,3.716,246106,40,460,710,61.608,8.3,16,3,0,50,0,9.8,21.3,35.2,51.9,2015,5,31 +2.958,3.652,267978,34,320,640,59.948,7.2,10,5,0,78,0,10,18,27.8,0,2015,6,1 +3.699,3.979,266112,37,405,810,61.033,8.1,10,6,0,92,0,9.5,9.8,20.6,0,2015,6,2 +3.483,3.633,295506,38,365,730,60.563,7.6,11,4,0,77,0,10,13,37,55.4,2015,6,3 +2.989,3.54,303551,37,407.5,815,60.758,7.6,10,6.7,0,50,0,10,33.5,42.4,64.8,2015,6,4 +3.651,3.837,285824,31,395,790,61.866,10.7,13,8.8,0,76,0,9.8,17.4,27.8,0,2015,6,5 +3.453,4.079,275973,35,320,890,62,13.7,17,5,0,66,0,9.3,28.7,40.7,59.4,2015,6,8 +3.096,3.286,313947,32,345,690,60.406,8.6,13,5,0,73,0,10,18.1,31.7,0,2015,6,9 +3.068,3.367,294143,32,420,840,62.257,8.8,11.2,3,0,72,0,10,13,24.1,0,2015,6,10 +2.971,3.194,312226,37,480.5,961,63.643,7.5,13,3,0,52,0,9.8,7.6,14.8,0,2015,6,11 +2.96,3.452,307405,38,383.5,767,60.406,10.8,17,6,0,78,0,10,8.9,16.5,0,2015,6,14 +2.967,3.434,266534,42,750,1500,68.183,12.6,17,10,0,50,0,7.2,5,20.6,0,2015,6,15 +2.944,3.304,286756,40,440,920,63.155,12.7,15.2,11,0,56,0,10,8.3,22.2,0,2015,6,16 +2.987,4.158,290286,40,450,900,63.201,11.8,14,9.8,0,56,0,9.8,14.4,25.9,0,2015,6,17 +3,3.218,271786,34,456,912,62.895,8.7,11.3,5,0,54,0,10,15.9,29.4,0,2015,6,18 +3.011,3.581,256123,38,562.5,1125,68.183,7.3,12,3,0,66,0,10,26.1,51.9,72.2,2015,6,21 +3.022,3.512,264775,39,370,800,60.885,10.4,12,5,0,66,0,10,38.7,51.9,75.9,2015,6,22 +3.26,3.471,329228,49,370,840,63.312,13.2,17,8.9,0,65,0,10,31.9,46.5,63,2015,6,23 +3.023,3.18,235591,42,760,875,60,11.1,16,7.9,0,77,0,9.8,15.2,22.2,0,2015,6,24 +3.022,3.105,255570,45,450,900,63.729,11.4,13,10,0,74,0,10,13.1,27.8,0,2015,6,25 +3.013,3.188,272990,46,371,742,61.256,9.9,14,5,0,77,0,10,8.5,16.5,0,2015,6,28 +3.024,3.138,266714,41,485,970,63.643,7.8,13,3.5,0,51,0,9.8,8.5,14.8,0,2015,6,29 +3.019,3.154,277412,36,521,1042,64.12,9.8,12.4,5,0,70,0,10,9.8,15.3,0,2015,6,30 +2.992,3.252,267615,35,437.5,875,63.84,11.1,14,9,0,59,0,9.5,22.2,33.5,51.9,2015,7,1 +2.849,3.27,262835,33,360,730,61.19,7.3,11.1,3,0,70,0,10,18.1,40.7,70.6,2015,7,2 +3.048,3.223,230251,44,515,1030,64.953,9.9,15,7,0,60,0,9.5,33.7,44.6,63,2015,7,5 +2.961,3.204,228277,34,494,988,64.953,8.3,11,7,0,80,0,1,26.5,35.2,55.4,2015,7,6 +2.653,3.292,268192,42,526.5,1053,63.643,8.1,14,2,0,83,0,10,12,22.2,0,2015,7,7 +3.026,3.228,255014,42,370,884,66,10.7,14,8.7,0,71,0,10,17.2,25.9,0,2015,7,8 +3.03,3.345,320720,37,490,980,63.643,9.7,12,6,0,71,0,10,22.6,35.2,0,2015,7,9 +3.037,3.356,186893,25,340,680,59.396,9,11,6,0,92,0,5,28,38.9,55.4,2015,7,12 +2.901,4.444,258631,20,250,500,53.152,8.7,12,6.8,0,77,0,10,24.6,33.5,0,2015,7,13 +3.399,3.456,345185,31,200,593,54.531,5.9,9,3,0,81,0,10,20,50,59.4,2015,7,14 +3.029,3.46,350890,37,327,654,60.406,7.4,9,5,0,82,0,10,9.8,20.6,0,2015,7,15 +3.274,3.356,295550,38,395,790,61.033,8.4,12,6,0,79,0,9.7,21.1,29.4,0,2015,7,16 +3.006,3.245,266787,30,440,880,60.852,5.2,13,-1,0,75,0,10,10,20.6,0,2015,7,19 +3.607,3.818,208687,36,450,960,58,9.8,14,5,0,61,0,10,27,48.2,66.5,2015,7,20 +3.008,3.381,256514,41,497.5,995,64.953,12.7,15.2,11,0,67,0,9.5,39.6,55.4,74.1,2015,7,21 +3.007,3.36,264696,48,480,960,64.12,9.8,15.3,6,0,74,0,1,18.9,31.7,0,2015,7,22 +3.108,3.437,279179,37,489,978,64.953,10.4,14,7,0,81,0,1,22.8,33.5,51.9,2015,7,23 +3.155,3.242,288225,30,300,760,61.19,6.6,11,4,0,67,0,10,27.8,61.1,79.5,2015,7,26 +3.403,3.741,301315,36,415,830,63.091,8.9,13,6.9,0,73,0,10,20.6,31.7,0,2015,7,27 +2.998,3.713,306927,26,590,1180,68.183,9.9,14,5.8,0,74,0,1,13.9,22.2,0,2015,7,28 +3.449,3.809,264852,26,488.5,977,64.953,9.3,13,7,0,67,0,1,28.9,55.4,63,2015,7,29 +3.318,3.722,267722,40,495,990,64.12,7.8,11,4,0,73,0,1,32,64.8,87,2015,7,30 +3.23,3.667,334956,41,425,850,62.479,10.1,14,6,0,62,0,9.8,27.4,38.9,55.4,2015,8,2 +2.995,3.686,330269,32,340,1050,51,5.6,10,2,0,67,0,10,20,37,51.9,2015,8,3 +3.575,3.621,328755,36,450,900,62.367,8.6,10,6,0,66,0,9.8,22,31.7,0,2015,8,4 +2.984,3.577,341811,29,554,1108,68.183,7.4,11,4,0,76,0,9.8,23.9,40.7,59.4,2015,8,5 +3.447,3.664,305398,28,400,800,58.612,9.3,13,6,0,85,0,10,17.2,31.7,0,2015,8,6 +3.274,3.67,314875,42,440,880,63.248,9.5,12,7.8,0,72,0,10,31.9,57.6,74.1,2015,8,9 +2.992,3.527,306061,45,460,920,62.524,9.8,15,6,0,69,0,10,27.2,53.5,74.1,2015,8,10 +3.067,3.451,313726,27,360,952,63.312,10.9,14,7,0,57,0,10,31.1,48.2,72.2,2015,8,11 +2.98,3.363,307656,23,500,1000,64.477,8.9,12,7,0,81,0,10,16.7,24.1,0,2015,8,12 +2.979,3.342,297035,34,460,920,63.201,10.5,12,8,0,65,0,10,16.7,25.9,0,2015,8,13 +4.322,4.798,315056,47,415,830,63.312,11.3,15,8,0,67,0,9.3,21.7,35.2,51.9,2015,8,16 +3.305,3.744,363624,45,450,900,62.524,6.6,11,4,0,77,0,10,18.7,33.5,0,2015,8,17 +3.215,3.779,335108,43,412.5,825,60.757,7.8,10,5.6,0,78,0,10,6.3,16.5,0,2015,8,18 +2.924,3.764,317375,42,470,840,61,8.8,13,4.7,0,64,0,10,16.1,44.6,57.6,2015,8,19 +3.098,3.658,338254,44,470,940,64.477,13,16,11,0,55,0,0,39.3,51.9,70.6,2015,8,20 +3.261,3.536,324078,45,410,820,61.463,10.9,16,7,0,74,0,10,15.2,22.2,0,2015,8,23 +3.056,2.88,342521,44,415,830,63.248,10.3,12,9,0,73,0,10,28,37,53.5,2015,8,24 +2.702,3.948,291742,47,438,876,63.091,9.9,13,7,0,76,0,9.8,17.4,31.7,0,2015,8,25 +3.454,3.39,310756,46,503.5,1007,64.477,11.1,15,8.6,0,72,0,9.8,7.4,13,0,2015,8,26 +3.289,3.545,225561,42,310,735,61.198,9.4,11.2,6.6,0,92,0,9.3,17.2,29.4,0,2015,8,27 +2.994,3.475,258161,41,380,760,60.728,8.7,11,6.5,0,78,0,10,13.7,22.2,0,2015,8,30 +2.997,3.303,247673,36,425,850,62.83,8.4,13,1.8,0,68,0,10,11.7,20.6,0,2015,8,31 +3.091,3.322,271978,40,492.5,985,64.477,11.2,16,9,0,59,0,10,22.2,37,61.1,2015,9,1 +2.954,3.449,283458,37,330,880,60,12.3,18,9,0,73,0,10,15.4,37,53.5,2015,9,2 +3.033,3.306,298037,51,500,1000,63.643,9.4,13.1,4,0,79,0,10,17.8,35.2,0,2015,9,3 +3.01,3.31,296488,50,417,834,63.312,10.8,15,8,0,66,0,9.8,29.3,50,68.3,2015,9,6 +3.025,3.28,255120,43,435,870,63.293,9.4,12,8,0,71,0,9.5,22.6,40.7,59.4,2015,9,7 +3.012,3.247,263866,48,340,780,61.632,10.3,13,9,0,77,0,8.9,17,31.7,0,2015,9,8 +1.868,3.394,299105,48,455,910,63.201,10.9,14,8,0,74,0,10,14.4,31.7,0,2015,9,9 +3.491,3.356,284981,45,470,940,64.12,9.3,16,4,0,77,0,10,13.5,29.4,0,2015,9,10 +2.934,3.38,246534,36,413,826,62.218,18.8,24,15,0,49,0,0,32.4,48.2,59.4,2015,9,13 +3.136,3.385,296682,30,380,769,52,18,25.7,9.9,0,55,0,9,27.8,48.2,57.6,2015,9,14 +2.99,3.261,288903,29,313.5,627,58.136,10.6,16,6,0,69,0,10,18.5,35.2,0,2015,9,15 +4.36,5.105,304905,33,380,760,61.339,10.6,15,7,0,77,0,9.8,11.7,27.8,0,2015,9,16 +5.116,6.025,289703,26,313.5,627,57.178,10.9,14,8.8,0,78,0,9.7,14.3,27.8,0,2015,9,17 +5.381,5.589,286984,36,350,747,62.218,16.8,22,13,0,55,0,10,26.9,42.4,53.5,2015,9,20 +3.229,3.711,248065,37,494,988,64.12,10.1,17.1,5.9,0,69,0,10,22.2,37,51.9,2015,9,21 +3.659,3.554,244697,49,426,852,63.006,8.1,12,4.9,0,64,0,10,23,42.4,57.6,2015,9,22 +3.003,3.592,228784,54,661,1322,68.183,8.6,12.6,4,0,62,0,10,18.5,31.7,0,2015,9,23 +3.257,3.476,236778,51,449,898,62.895,9.1,15,1.9,0,74,0,10,15.4,27.8,0,2015,9,24 +3.3,3.735,230818,38,442.5,885,63.097,13.3,21,5,0,53,0,10,13.7,33.5,0,2015,9,27 +3.289,3.578,208883,45,514,1028,64.12,13.3,22,6,0,56,0,10,13.9,22.2,0,2015,9,28 +3.033,3.472,236426,48,458.5,917,63.774,12.3,17,9.8,0,67,0,10,14.4,27.8,0,2015,9,29 +2.978,3.435,277242,54,570,1193,86,10,17,4,0,66,0,10,17.6,25.9,0,2015,9,30 +3.124,3.376,201316,41,449.5,899,63.931,21.6,28,17,0,33,0,0,31.3,51.9,68.3,2015,10,2 +2.969,3.296,238051,39,479,958,64.953,18.5,28,11,0,53,0,0,13.3,27.8,0,2015,10,4 +2.959,3.336,223142,40,434,868,64.849,26.4,34.1,19,0,23,0,0,33.5,48.2,59.4,2015,10,5 +3.181,3.61,275130,43,442,884,64.367,19.2,35,9,0,35,0,10,30.6,64.8,98.2,2015,10,6 +2.979,3.479,303446,45,454,908,63.403,11.5,16,8,0,60,0,10,20.7,33.5,0,2015,10,7 +2.998,3.712,285342,46,560,996,64.477,15.4,25,9,0,62,0,0,12.8,33.5,0,2015,10,8 +3.369,3.546,280161,39,439.5,879,63.091,15.3,26,10,0,79,0,7.4,18,31.7,0,2015,10,11 +2.974,3.365,239798,39,418,836,62.303,11.3,15,5,0,71,0,10,17.6,29.4,0,2015,10,12 +2.953,3.418,277537,35,342,684,61.24,13.4,21,7,0,71,0,10,12.6,29.4,0,2015,10,13 +2.964,3.272,302267,44,430,582,68,22,28,17,0,46,0,10,23.3,38.9,50,2015,10,14 +2.979,3.551,293161,42,254,508,58.616,24.4,34,16,0,25,0,0,19.3,44.6,66.5,2015,10,15 +2.963,3.463,271285,37,415,830,62.322,12.4,19,6,0,66,0,0,13.1,22.2,35.2,2015,10,18 +4.107,4.156,239881,35,427.5,855,63.729,19.4,28,10,0,36,0,0,17.4,31.7,0,2015,10,19 +2.99,3.394,264259,48,420,865,64.849,23.2,32,15,0,47,0,9.5,18.3,35.2,51.9,2015,10,20 +2.927,3.297,262920,34,470,940,64.953,12.4,18,10,0,79,0,9.8,22.8,33.5,0,2015,10,21 +2.834,3.001,290372,40,450,900,63.886,12.1,16,10,0,73,0,9.7,21.9,33.5,48.2,2015,10,22 +2.855,2.95,271698,36,400,800,63.227,22,32,13,0,35,0,9.7,29.8,53.5,68.3,2015,10,25 +2.129,2.891,265113,48,380,1115,70,11.9,16,9,0,70,0,10,26.9,40.7,55.4,2015,10,26 +2.488,2.748,237002,48,470,940,64.953,15.7,23,8,0,47,0,10,18.9,44.6,0,2015,10,27 +2.544,3.127,261331,48,645,1290,68.183,17.8,26,10,0,49,0,6.3,16.1,33.5,35.2,2015,10,28 +3.355,3.706,268448,48,485,970,64.953,19.2,26,10.7,0,43,0,0,13.7,31.7,0,2015,10,29 +3.412,3.319,248447,50,380,760,62.374,17.1,26,13,0,76,0,9.5,15.9,38.9,57.6,2015,11,1 +2.898,3.221,267357,50,380,845,63.136,14.1,18,9,0,68,0,10,12.6,20.6,0,2015,11,3 +2.889,3.279,278282,53,495,990,64.477,20.5,27,16.8,0,72,0,7.7,15.6,29.4,61.1,2015,11,4 +2.897,3.364,244110,33,360,720,62.023,18.7,24,15,0,82,0,10,14.6,63,81.7,2015,11,5 +3.36,3.641,303666,37,325,650,61.591,19.3,26,13,0,34,0,0,16.3,35.2,50,2015,11,8 +3.065,3.574,300547,49,430.5,861,64.321,22.8,34,14,0,41,0,9.2,18.1,33.5,51.9,2015,11,9 +3.152,3.459,277916,50,552.5,1105,68.183,12.3,15,10.8,0,79,0,9.8,18,29.4,0,2015,11,10 +3.076,3.451,291609,50,580,1110,92,14.8,18,12,0,50,0,9.7,9.4,14.8,0,2015,11,11 +2.887,3.337,301484,50,530,1060,64.477,16.5,23,12,0,75,0,10,16.7,27.8,0,2015,11,12 +3.22,3.508,238098,43,437.5,875,63.136,14.9,22,10.8,0,71,0,10,16.5,25.9,0,2015,11,15 +3.276,3.663,253699,42,405,810,61.942,21.3,27,14,0,45,0,0,20.2,44.6,59.4,2015,11,16 +2.992,3.551,258243,47,487.5,975,65.717,19.4,33,10,0,42,0,9.8,17.6,44.6,61.1,2015,11,17 +2.993,3.442,277745,47,530,1060,64.477,25.1,29,20,0,34,0,10,15.9,35.2,57.6,2015,11,18 +3.123,3.859,262671,50,380,945,64.367,20.1,33,14,0,64,0,9.8,16.7,44.6,53.5,2015,11,19 +3.189,3.419,272561,50,420,840,63.201,15.3,21,12,0,61,0,10,15,27.8,0,2015,11,22 +3.173,3.384,305234,50,450,900,63.201,15.4,21,9.8,0,63,0,10,15.4,29.4,0,2015,11,23 +3.902,4.112,265673,41,585,1170,68.183,18.3,27,11,0,50,0,10,16.3,42.4,53.5,2015,11,24 +3.403,3.796,267475,42,450,1030,72,23.4,34,8,0,26,0,10,40.2,68.3,92.4,2015,11,25 +3.203,3.431,275814,46,545,1090,68.183,11.3,17,5,0,47,0,10,25.9,48.2,75.9,2015,11,26 +3.444,3.638,271563,44,417.5,835,63.358,14.5,25,8.5,0,64,0,10,16.7,35.2,0,2015,11,29 +1.927,3.398,280864,50,370,1100,67.264,21.4,32,13,0,44,0,10,23.9,51.9,77.8,2015,11,30 +3.462,3.402,276888,50,370,920,63.312,14.1,23,7,0,45,0,10,23.5,46.5,57.6,2015,12,1 +3.013,3.282,269369,50,370,870,63.84,12.9,18,8,0,54,0,10,18.3,33.5,53.5,2015,12,2 +3.021,3.204,279465,50,490,840,64.477,15.6,27,9,0,65,0,10,12.4,27.8,0,2015,12,3 +3.43,3.647,167532,40,360,760,62.019,21.8,29.3,17,0,64,0,10,14.1,24.1,0,2015,12,6 +3.027,3.265,231881,50,340,920,78,23.4,27,20,0,64,0,10,17.6,42.4,59.4,2015,12,7 +2.997,3.392,257198,50,380,900,64.367,21.9,36,13,0,53,0,10,25,48.2,68.3,2015,12,8 +3.587,4.109,279211,48,570,940,64.477,17.7,27,10.6,0,59,0,10,16.1,33.5,0,2015,12,9 +3.213,2.942,223469,44,520,860,64.953,18.2,26,11,0,49,0,10,18,29.4,0,2015,12,10 +3.56,4.035,248592,47,280,760,61.827,19.4,29,10.6,0,34,0,0,15.4,29.4,0,2015,12,13 +3.305,3.819,261120,46,420,990,63.201,20.8,27,16,0,60,0,7.6,15.7,25.9,0,2015,12,15 +3.672,3.851,253265,45,660,900,64.477,22.5,29,15,0,57,0,0,22.4,46.5,61.1,2015,12,16 +3.021,3.387,274939,44,320,940,64.367,28.6,36.2,19.8,0,26,0,0,20.9,44.6,59.4,2015,12,17 +3.106,3.598,207493,50,360,790,62.569,20.9,0,13,0,55,0,10,20.4,50,66.5,2015,12,20 +3.663,3.768,190031,35,380,760,66,15.6,20,11,0,56,0,10,22.4,35.2,48.2,2015,12,21 +3.622,3.77,208327,49,340,900,63.729,19,25,14,0,61,0,10,14.4,24.1,0,2015,12,22 +3.8,3.85,230542,48,450,1000,63.886,22.1,29,14.7,0,59,0,10,17.4,33.5,50,2015,12,23 +3.053,3.404,185676,48,422.98,845.96,64.894,26.2,35,12,0,29,0,6.6,35.4,53.5,74.1,2015,12,25 +3.485,3.627,189064,44,280,660,61.834,16.7,22,11,0,62,0,10,14.8,25.9,0,2015,12,28 +3.048,3.463,175314,37,320,690,61.668,18.8,27,12,0,60,0,0,14.4,27.8,0,2015,12,29 +3.103,3.297,174974,35,360,860,64.738,29.4,35,23,0,19,0,0,19.1,31.7,0,2015,12,30 +3.095,3.273,204968,50,422.98,845.96,64.366,20.5,28,16,0,61,0,10,19.1,27.8,0,2016,1,1 +3.086,3.272,175665,54,280,730,61.844,20.1,27,14,0,62,0,10,14.8,31.7,0,2016,1,3 +3.071,3.266,187587,51,320,800,61.962,19.1,24,14,0,66,0,10,11.3,22.2,0,2016,1,4 +3.069,3.217,179315,49,340,840,57,20.4,25,16,0,66,0,10,11.7,29.4,0,2016,1,5 +3.085,3.547,183456,43,630,970,65.59,19.8,25,15,0,70,0,10,22.6,40.7,0,2016,1,6 +2.537,3.377,203716,50,570,910,65.59,17.9,23,13.9,0,61,0,10,25,35.2,0,2016,1,7 +3.653,3.562,211567,44,280,700,63.364,24.6,34,17,0,36,0,0,14.4,25.9,0,2016,1,10 +3.785,3.709,229446,49,320,970,65.531,23.1,37,15,0,51,0,10,16.1,57.6,75.9,2016,1,11 +2.745,3.434,231955,46,360,880,65.531,21.7,36,15,0,60,0,10,13.7,35.2,53.5,2016,1,12 +3.458,3.215,269373,43,360,870,65.004,28.9,43,16.9,0,32,0,10,28,48.2,77.8,2016,1,13 +3.354,3.585,252342,43,550,1000,65.114,14.3,18,12,0,61,0,10,23,38.9,53.5,2016,1,14 +3.46,3.933,242024,46,320,760,63.521,26.7,32,21,0,23,0,0,24.3,42.4,59.4,2016,1,17 +3.274,3.641,216526,36,370,900,65.531,23.9,36.3,13,0,31,0,10,16.1,38.9,53.5,2016,1,18 +3.238,3.563,246403,38,410,1000,64.847,23.9,33,17.8,0,48,0,10,13.7,25.9,0,2016,1,19 +3.085,3.335,203753,36,380,750,61.668,22,30,18,0,74,0,8.2,16.1,29.4,0,2016,1,20 +3.014,3.295,242712,36,420,1000,70,19.5,27,16.9,0,79,0,8.7,10.6,40.7,55.4,2016,1,21 +3.033,3.216,163031,52,510,830,65.59,18.3,23,15,0,76,0,9.7,18.5,31.7,44.6,2016,1,24 +2.954,3.237,186628,49,310,850,64.366,22.8,29,17.9,0,57,0,10,12.2,31.7,0,2016,1,26 +4.115,4.9,247019,45,650,950,65.114,23.7,28.1,21,0,60,0,10,31.5,46.5,63,2016,1,27 +4.408,4.099,284997,51,460,780,61.619,19.3,29,13,0,78,0,9.5,18.7,33.5,0,2016,1,28 +3.028,3.503,280083,49,320,590,58.488,14.9,20,10,0,72,0,10,20.4,40.7,55.4,2016,1,31 +3.024,3.38,260268,50,320,680,61.533,19.7,25,15,0,67,0,8.5,12.8,25.9,0,2016,2,1 +4.193,4.705,246364,50,350,930,66,23.5,32,17,0,54,0,9,18.3,27.8,0,2016,2,2 +4.173,4.149,254234,40,300,740,61.69,17.5,21,16,0,66,2.03,10,26.7,37,51.9,2016,2,3 +4.09,4.288,287372,41,370,760,61.748,17.7,21,14,0,71,0,10,20.9,33.5,0,2016,2,4 +4.112,4.236,248066,36,300,680,62.348,22.4,31,16,0,61,0,10,16.1,29.4,0,2016,2,7 +3.001,3.425,245010,45,430,840,63.838,19.5,24,17,0,63,0,10,18.3,27.8,0,2016,2,8 +3.199,3.745,233490,46,450,810,62.218,19.9,25,16,0,66,0,10,13.9,22.2,0,2016,2,9 +3.132,3.504,208796,36,560,820,62.622,20.1,24,17,0,62,0,10,16.5,22.2,0,2016,2,10 +2.735,3.412,205307,50,540,1100,68.82,19.7,25,15,0,64,0,10,17.6,29.4,0,2016,2,11 +0.187,4.761,239544,38,360,770,67,18.3,25,12,0,55,0,10,19.1,35.2,50,2016,2,14 +2.344,4.887,230809,33,340,660,62.218,19.4,27.7,13.9,1013.2,45,0,12.6,21.5,37,57.6,2016,2,15 +4.094,5.327,256059,30,370,700,62.218,15.1,18,13,0,55,0,10,27,38.9,51.9,2016,2,16 +3.703,4.961,272004,20,400,730,59.603,17.9,23,14.8,0,73,0,9.8,23.5,35.2,48.2,2016,2,17 +3.961,4.368,222314,32,350,810,61.866,18.3,23,15,0,68,0,10,11.3,18.3,0,2016,2,18 +3.885,3.919,222672,21,300,660,60.267,20.4,28,14,0,52,0,0,14.1,24.1,0,2016,2,21 +3.143,3.691,210987,50,230,730,63.393,25.1,33,19,0,37,0,0,15.4,51.9,70.6,2016,2,22 +3.384,3.844,215544,46,360,840,65.531,29.3,40,23,0,32,0,0,23.7,53.5,68.3,2016,2,23 +5.409,6.357,219079,32,580,750,62.622,22.1,28.2,18.9,0,72,0,10,14.8,31.7,0,2016,2,24 +5.371,5.975,207570,42,560,840,65.59,20.1,30,12,0,64,0,10,17.6,31.7,50,2016,2,25 +4.9,5.051,192139,50,330,1000,64.366,18.6,23,14,0,61,0,10,18.3,27.8,40.7,2016,2,28 +3.954,4.018,177134,50,360,710,62.048,18.5,26,13,0,73,0,9.5,15,35.2,0,2016,2,29 +4.17,4.504,201268,49,490,890,66.354,25.1,34,17.9,0,31,0,0,20.7,35.2,51.9,2016,3,1 +4.152,4.438,229270,49,480,920,74,23.6,36,16.5,0,47,0,10,17.8,35.2,0,2016,3,2 +3.538,4.094,272464,44,410,520,58.766,19.6,26,15,0,64,0,10,12.4,20.6,0,2016,3,3 +4.237,4.759,248067,55,340,360,58.806,21.1,28,15.1,0,72,0,10,13.5,27.8,0,2016,3,6 +3.921,4.42,247498,49,490,780,62.973,20.6,25,18.8,0,79,0,9.5,15.6,24.1,0,2016,3,7 +3.872,4.018,250976,51,480,710,63.931,32.3,40,27,0,23,0,0,27.2,40.7,59.4,2016,3,8 +3.453,3.977,260257,50,450,830,64.366,21.7,30,17.9,0,74,2.03,9.7,16.7,27.8,0,2016,3,9 +3.368,3.724,249098,51,510,840,65.59,19.2,22,18.5,0,92,0,6.3,7.4,16.5,0,2016,3,10 +3.041,3.539,239513,52,422.98,845.96,64.256,22.3,28,18,0,78,0,9.7,10.7,22.2,0,2016,3,11 +3.187,3.518,212006,45,420,780,62.019,16.6,20,13,0,71,0,10,16.9,29.4,0,2016,3,14 +3.436,3.694,207359,39,460,810,62.176,19.3,28,14,0,67,0,10,14.4,33.5,0,2016,3,15 +2.982,3.723,227429,47,620,960,71,25.1,31,19,0,45,0,0,22.6,53.5,0,2016,3,16 +3.218,3.722,275512,40,360,870,65.486,25.3,33,14,0,46,0,9,30.2,46.5,66.5,2016,3,17 +3.31,3.843,253338,39,340,730,62.16,15.2,22,9,0,62,0,10,13.1,25.9,0,2016,3,20 +3.6,4.125,210261,45,410,700,62.019,15.9,22,10,0,72,0,10,16.3,31.7,0,2016,3,21 +4.929,5.401,210442,43,320,720,62.029,18.6,26,13,0,51,0,0,13.9,25.9,0,2016,3,22 +4.566,4.709,230551,51,440,850,64.32,20.9,29,12.6,0,52,0,12.1,13.3,25.9,0,2016,3,23 +3.593,3.856,219806,40,422.98,845.96,64.32,16.2,20.4,11,0,64,0,10,14.1,27.8,0,2016,3,25 +3.707,4.057,193262,41,350,680,62.029,15.9,19,13.8,0,50,0,10,23.7,29.4,0,2016,3,28 +4.449,4.988,197264,46,520,770,65,15.4,17.4,14,0,58,0,10,20.4,31.7,0,2016,3,29 +4.454,4.727,212886,43,370,790,61.891,13.3,18,7,0,62,0,10,14.6,27.8,0,2016,3,30 +4.213,4.581,226469,42,360,880,64.32,17.9,23,13,0,59,0,10,16.5,29.4,0,2016,3,31 +4.208,4.441,185609,40,300,680,61.962,13.2,19,8,0,61,0,0,15.4,27.8,0,2016,4,3 +4.172,4.637,125886,42,530,760,62.736,16.7,23.3,11,0,53,0,0,13.5,33.5,0,2016,4,4 +4.135,4.653,149992,35,540,880,65.59,20.6,29,12,0,44,0,7.9,19.6,38.9,57.6,2016,4,5 +4.298,4.701,260866,27,340,690,60.073,11.2,15,7,0,84,0,51.5,14.1,31.7,0,2016,4,6 +4.199,4.49,282652,37,370,730,61.866,14.1,18,10,0,69,0,0,10,18.3,0,2016,4,7 +4.014,4.569,250282,41,380,750,62.412,17.6,23,14,0,58,0,0,20.2,29.4,0,2016,4,10 +4.123,4.397,181203,52,440,910,74,15.7,20,13,0,73,0,0,17.8,27.8,0,2016,4,11 +3.944,4.4,183726,43,550,940,65.59,14.7,18.5,12,0,78,0,0,14.1,27.8,0,2016,4,12 +3.793,4.357,289441,39,440,840,63.728,14.4,19,10,0,73,0,51.8,12.4,24.1,0,2016,4,13 +4.141,4.381,254752,38,450,750,62.061,18.3,27,12,0,51,0,7.7,17.2,29.4,46.5,2016,4,14 +3.837,4.045,243966,40,330,700,62.317,13,21,8,0,70,0,0,16.5,33.5,53.5,2016,4,17 +4.581,5.696,223776,35,330,690,62.218,19.1,25,13,0,49,0,0,20.9,38.9,0,2016,4,18 +5.685,5.632,271098,44,530,1000,65.114,20.4,27,16,0,44,0,0,23.7,40.7,0,2016,4,19 +4.652,5.15,278619,47,720,930,65.114,23.1,28,20,0,33,0,0,27.2,40.7,0,2016,4,20 +5.327,5.744,283027,41,580,850,65.59,16.9,24,13,0,71,0,8.4,17.8,33.5,0,2016,4,21 +4.844,4.761,257788,33,422.98,845.96,64.32,13.3,16,11,0,61,0,0,17.4,27.8,0,2016,4,22 +4.181,4.388,268530,39,400,630,60.232,17.1,25,9,0,54,0,0,19.8,33.5,0,2016,4,25 +4.281,4.505,261710,30,380,780,62.218,19.4,25,14,0,37,0,0,26.1,44.6,59.4,2016,4,26 +4.224,4.625,200091,45,810,900,70,21,24,18,0,42,0,0,31.7,44.6,63,2016,4,27 +4.426,4.566,239173,46,620,650,62.841,19.6,24,16,0,57,0.76,0,18.1,38.9,0,2016,4,28 +5.439,5.881,230841,36,500,850,65.59,11.3,16,8,0,61,0,10,26.3,44.6,59.4,2016,5,1 +5.668,7.364,188941,37,350,960,64.522,14.3,17,12.5,0,52,0,10,34.3,48.2,70.6,2016,5,2 +4.93,7.966,260517,40,370,1300,67.701,12.9,19,7,0,64,0,9.7,26.9,51.9,74.1,2016,5,3 +3.892,4.936,292013,34,590,900,65.114,13.9,17,11,0,57,0,10,22.4,35.2,48.2,2016,5,4 +4.142,4.722,277500,37,780,1000,65.114,16.6,20.2,14,0,57,0,10,35.2,50,70.6,2016,5,5 +4.819,5.984,213211,50,470,790,62.973,17.8,20,15,0,88,0,9.8,25.4,57.6,77.8,2016,5,8 +5.412,6.088,241074,40,570,820,62.973,15.4,21,12.8,0,76,0,9.5,34.1,53.5,75.9,2016,5,9 +5.043,5.117,277110,35,360,930,63.949,13.3,16.2,11,0,62,0,10,30.9,42.4,59.4,2016,5,10 +4.336,4.598,254395,38,360,710,63,15.2,18,13,0,67,0,10,24.3,37,46.5,2016,5,11 +4.347,5.164,272476,39,360,890,63.949,17,21,13.5,0,66,0,10,21.9,35.2,0,2016,5,12 +4.462,4.365,253118,50,310,660,62.317,13.2,21,7,0,67,0,10,20.9,38.9,55.4,2016,5,15 +4.242,4.53,255636,49,670,900,65.59,15.4,18.7,12,0,67,0,10,30.7,59.4,77.8,2016,5,16 +4.498,5.055,266683,40,620,900,65.114,14,17,11.2,0,58,0,10,16.1,29.4,0,2016,5,17 +3.708,4.041,283088,53,720,1100,68.82,15.2,19,13,0,56,0,10,22.6,29.4,0,2016,5,18 +4.858,5.546,248615,50,600,1000,65.59,14.6,17,9.8,0,73,0,10,20.6,38.9,51.9,2016,5,19 +4.363,4.332,206024,52,530,910,65.59,16.9,21,11,0,58,0.51,10,34.4,53.5,79.5,2016,5,22 +3.858,4.555,287972,50,520,970,73,11.9,16,8.7,0,68,0,10,21.7,42.4,61.1,2016,5,23 +3.915,4.801,313503,50,610,970,65.114,10.9,16,7,0,72,0,10,20.4,42.4,0,2016,5,24 +4.509,5.079,289080,44,380,880,63.93,11.2,15,9,0,81,0,9.2,33.5,57.6,64.8,2016,5,25 +4.316,4.992,329619,32,340,690,60.406,9.1,11,6,0,88,0,9.2,17.4,25.9,0,2016,5,26 +4.332,4.869,281219,48,250,660,60.572,8,12.2,4,0,69,0,10,15,25.9,0,2016,5,29 +3.74,4.804,280345,41,340,800,60.572,7.4,14,1,0,70,0,10,12.2,22.2,0,2016,5,30 +4.16,6.063,297279,45,480,960,64.28,8.8,16,4,0,68,0,10,12.4,20.6,0,2016,5,31 +4.126,4.554,300879,49,430,790,60.757,8.9,16,3,0,75,0,10,10.7,18.3,0,2016,6,1 +4.704,4.832,315064,44,420,840,62.414,9.1,13,6,0,90,0,5.5,7.2,14.8,0,2016,6,2 +4.446,7.225,253529,29,330,700,61.339,11.6,14,7.5,0,90,0,8.4,9.1,22.2,0,2016,6,5 +5.637,5.845,223104,50,360,850,63.664,10.6,13,8,0,82,0,10,18.7,31.7,48.5,2016,6,6 +4.761,5.065,263832,51,480,820,62.973,11.5,14,8,0,85,0,9.7,18.5,31.7,50,2016,6,7 +1.916,4.842,175754,41,370,740,62,12,14,10,0,31,0,10,31.5,51.9,70.6,2016,6,8 +4.143,4.815,264055,45,520,840,64.953,11.8,17,8,0,74,0,9.8,19.4,31.7,0,2016,6,9 +5.929,5.092,246666,49,422.98,845.96,62.942,10.7,15,6,0,71,0,9.7,20.9,31.7,0,2016,6,10 +4.327,5.237,177736,45,350,740,62.119,9.8,12.1,8,0,65,0,10,30,46.5,61.1,2016,6,13 +3.99,4.962,265425,39,390,740,61.591,9.8,14,7,0,72,0,10,22.8,27.8,0,2016,6,14 +4.239,4.832,167116,50,590,800,62.775,10.7,17,7,0,73,0,10,21.1,46.5,66.5,2016,6,15 +4.017,4.632,274879,53,520,910,64.477,11.9,14,9.7,0,80,0,10,31.9,48.2,59.4,2016,6,16 +4.9,5.185,267020,45,660,750,62.397,11.3,12.3,9.9,0,89,0,82,16.3,31.7,48.2,2016,6,19 +4.77,4.776,202008,39,320,1000,63.664,10.8,12.4,8,0,87,0,8.7,17.6,27.8,0,2016,6,20 +3.662,3.885,255306,31,280,710,62.023,10.8,14,9,0,76,0,10,26.5,42.4,61.1,2016,6,21 +3.482,4.249,244727,40,330,740,55,11.7,14,9,0,67,0,10,24.4,38.9,50,2016,6,22 +3.417,4.348,219358,17,270,600,53.347,8.8,13,5,0,76,0,9.5,27.6,53.5,72.2,2016,6,23 +3.44,4.006,265674,41,310,680,61.198,7.1,10,5,0,74,0,10,22.4,27.8,0,2016,6,26 +3.729,3.873,259854,40,300,820,61.198,8,10,5,0,84,0,9.5,18.5,27.8,0,2016,6,27 +3.016,4.152,303367,39,350,780,61.405,10.8,16,7,0,79,0,10,22.2,27.8,0,2016,6,28 +3.842,4.141,303958,28,360,920,63.248,10.8,15,8.5,0,68,0,10,30,48.2,57.6,2016,6,29 +3.486,3.897,306053,34,370,880,63.248,8.3,10,7,0,82,0,9.5,28.7,55.4,74.1,2016,6,30 +3.964,3.652,300053,38,300,690,61.24,11.8,16,10,0,68,0,10,24.8,31.7,51.9,2016,7,3 +2.98,3.768,303266,46,370,845.96,63.091,9.3,12,7,0,81,0,9.8,15.4,24.1,0,2016,7,4 +3.095,4.219,225778,22,370,810,60.229,10.5,12,8,0,93,0,8.4,21.5,33.5,51.9,2016,7,5 +3.539,4.551,290915,20,310,570,53.394,10.6,12,9.8,0,92,0,6.6,20.6,33.5,48.2,2016,7,6 +2.717,3.944,318969,39,410,670,61.591,10.1,12,8,0,94,0,82,9.4,22.2,0,2016,7,7 +3.435,4.036,284401,40,340,750,60,11.2,13,11,0,50,0,10,37.2,63,85.2,2016,7,10 +2.982,3.687,295527,32,330,790,61.396,12.2,14,10,0,67,0,10,35.4,51.9,70.6,2016,7,11 +3.338,4.07,259123,49,330,710,61.483,6.7,12,3,0,65,0,10,34.8,48.2,75.9,2016,7,12 +3.334,4.127,248927,45,400,790,61.541,7.8,11,4.9,0,68,0,10,24.6,40.7,61.1,2016,7,13 +3.348,4.06,306436,40,480,760,62.397,9.7,12.2,7,0,69,0,10,18.7,31.7,50,2016,7,14 +3.221,3.676,233359,43,360,770,62.374,12.4,15,10.6,0,69,0,10,37.4,55.4,72.2,2016,7,17 +3.079,3.576,270172,44,320,740,61.69,13.8,18,11,0,77,0,10,21.7,38.9,53.5,2016,7,18 +2.352,5.543,258090,33,640,820,62.622,11.4,15,8,0,85,0,10,6.9,13,0,2016,7,19 +4.751,4.226,189084,34,420,800,60.835,9.9,15,6,0,83,0,9.7,9.8,27.8,0,2016,7,20 +3.804,3.847,239883,32,480,840,64.953,14.7,17.1,12.7,0,82,0,9.5,34.6,57.6,79.5,2016,7,21 +5.275,4.916,256952,38,320,600,58.331,7.9,11,5.9,0,74,0,10,26.9,40.7,53.5,2016,7,24 +4.302,4.503,277208,23,500,680,59.994,8.7,13,5,0,65,0,9.7,27.2,57.6,75.9,2016,7,25 +3.202,3.919,284140,38,310,690,49,8.4,10,7,0,72,0,9.8,26.9,38.9,57.6,2016,7,26 +3.019,4.544,293102,41,350,660,60.828,8.4,11,6,0,74,0,10,19.3,33.5,46.5,2016,7,27 +4.755,4.431,275785,34,560,970,64.953,10.8,14,8,0,73,0,10,22.4,31.7,0,2016,7,28 +3.854,4.551,227967,38,330,660,62.023,12.6,16,10.7,0,72,0,9.8,23.3,35.2,48.2,2016,7,31 +3.377,10.731,334240,20,350,660,58.769,9.2,13,4.8,0,90,0,9.8,18.3,35.2,51.9,2016,8,1 +6.385,8.471,288778,29,260,470,54.389,9.4,12,8,0,84,0,8.4,18.3,33.5,0,2016,8,2 +6.952,5.107,312292,36,290,620,59.415,7.9,12,3.9,0,87,0.51,92,14.3,31.7,46.5,2016,8,3 +5.872,5.408,321241,26,320,650,58.612,7.2,13.2,2.8,0,79,0,10,14.3,24.1,0,2016,8,4 +4.489,4.904,323158,31,330,770,60.601,9.2,15,4,0,56,0,10,14.3,31.7,0,2016,8,7 +4.64,4.789,296718,36,330,740,61.496,10.8,13,9,0,64,0,0,46.9,66.5,87,2016,8,8 +4.154,4.438,269276,49,370,870,63.84,12.4,17,8,0,65,0,10,33.3,59.4,75.9,2016,8,9 +4.627,5.34,294068,32,390,950,62.524,9.4,14,4,0,66,0,10,27.6,48.2,66.5,2016,8,10 +5.421,5.978,261432,46,260,650,57,9.8,14,5,0,66,0,10,20.2,33.5,0,2016,8,11 +5.365,5.732,271096,43,410,800,62.218,11.9,16,7.9,0,68,0,10,17.2,27.8,0,2016,8,14 +3.536,4.552,262585,38,320,760,62.023,12.2,17,9,0,70,0,10,25.6,40.7,55.4,2016,8,15 +2.85,3.889,277449,38,480,760,62.622,13.8,18,11,0,67,0,9.8,25.6,38.9,61.1,2016,8,16 +4.166,4.01,279644,49,400,890,62.942,10.7,15,6,0,81,0,10,16.7,40.7,0,2016,8,17 +4.515,4.008,297691,54,440,880,63.312,16.6,20,14.7,0,58,0,10,39.1,64.8,81.7,2016,8,18 +4.36,4.521,306766,34,380,660,61.24,10.7,14,8.9,0,78,0,9.8,18.5,27.8,0,2016,8,21 +5.902,13.713,310318,28,340,600,53.295,9.6,15,6,0,86,0,9.8,10.7,27.8,0,2016,8,22 +7.211,14.488,292775,27,350,870,54,7.2,13,2,0,74,0,10,9.8,22.2,0,2016,8,23 +7.322,6.587,235076,32,330,690,61.033,8.1,12,5,0,80,0,10,14.6,22.2,0,2016,8,24 +7.276,5.664,331344,34,440,770,60.563,8.2,13,5,0,76,0,10,17.6,33.5,0,2016,8,25 +7.307,4.992,295867,35,440,760,61.396,11.8,18.3,7,0,66,0,0,24.6,33.5,0,2016,8,28 +6.762,5.535,333187,33,320,800,61.591,13.4,18,9,0,58,0,10,22.2,35.2,0,2016,8,29 +5.175,5.716,342432,34,450,860,63.358,13.3,17,12,0,77,0,10,28,48.2,64.8,2016,8,30 +4.547,5.638,336331,34,400,860,63.091,14.1,19,9.9,0,70,0,9.8,14.4,31.7,0,2016,8,31 +4.337,5.25,351076,40,510,800,62.397,11.3,15,9,0,90,0,8.5,7.2,20.6,0,2016,9,1 +4.447,5.204,311190,40,450,770,61.591,13.2,16,10,0,67,0,10,16.9,25.9,0,2016,9,4 +4.873,5.404,258255,47,350,780,62.16,13.3,17.3,9,0,70,0,10,13.7,25.9,0,2016,9,5 +4.967,5.208,238691,43,350,800,56,13.2,20,7,0,76,0,10,12,20.6,0,2016,9,6 +4.765,5.846,303346,26,330,840,63.312,15.7,20,13,0,65,0,10,31.7,53.5,55.4,2016,9,7 +4.805,4.625,314318,30,490,820,62.046,18.1,22,14,0,62,0,9.7,36.1,46.5,70.6,2016,9,8 +5.799,7.657,311978,23,360,650,59.446,11.6,16,9,0,75,0,8.4,14.6,25.9,0,2016,9,11 +5.798,5.551,342733,40,350,690,61.533,10.3,13,9,0,89,0,7.7,9.3,20.6,0,2016,9,12 +5.285,4.537,267952,23,300,650,60.073,11.6,13,10,0,92,0,8.9,13.1,25.9,38.9,2016,9,13 +3.318,4.565,253441,18,270,550,53.152,10.2,15,7,0,78,0,9.8,25,40.7,55.4,2016,9,14 +5.327,5.328,273615,18,270,450,53.152,10.6,14,8,0,81,0,9.5,18.1,44.6,51.9,2016,9,15 +4.525,5.04,343753,43,330,650,60.7,8.7,11,5,0,85,0,9.8,14.6,24.1,0,2016,9,18 +3.84,4.044,365841,33,450,1000,63.358,10.8,15,7,0,65,0,10,16.1,37,50,2016,9,19 +3.476,4.338,339308,29,370,760,61.396,13.3,18,10,0,64,0,10,21.5,38.9,50,2016,9,20 +3.837,4.346,349075,38,360,720,61.24,9.7,11,9,0,87,0,10,23.2,27.8,0,2016,9,21 +3.948,5.407,358562,32,380,740,55,9.5,12,7,0,80,0,10,14.6,27.8,46.5,2016,9,22 +4.305,4.518,288059,29,370,670,61.24,10.2,14,7,0,72,0,10,14.8,27.8,0,2016,9,25 +4.303,4.744,327217,28,350,720,58.612,10.2,16,5,0,71,0,9.7,13.7,31.7,46.5,2016,9,26 +5.27,6.917,210444,23,300,590,53.347,10.4,15,7,0,75,0,9.2,19.6,31.7,0,2016,9,27 +5.329,5.593,347807,27,360,740,59.603,14.2,17,11,0,66,0,10,33.2,51.9,75.9,2016,9,28 +5.824,9.607,398328,31,422.98,845.96,63.091,11.8,15,9,0,79,0,10,14.6,31.7,0,2016,9,30 +5.934,8.68,394396,30,300,610,54.774,15.4,22,9,0,64,0,9.3,36.1,61.1,85.2,2016,10,2 +5.759,5.525,363677,20,260,490,53.053,12,15,10,0,64,0,10,27,42.4,61.1,2016,10,3 +5.599,4.694,380550,25,340,570,41,9.9,16,6,0,70,0,9.8,30.4,64.8,81.7,2016,10,4 +2.526,7.046,195490,30,360,650,62.023,12.7,19,9,0,71,0,10,23,37,57.6,2016,10,5 +6.384,9.256,247582,27,460,730,60.378,20.1,25,17,0,50,0,10,36.9,48.2,74.1,2016,10,6 +7.432,5.804,389808,34,340,590,55.847,15.2,20,11,0,65,0,10,36.7,83.5,107.6,2016,10,9 +7.113,5.019,395208,26,310,660,58.769,9.1,16,5,0,69,0,9.8,26.1,53.5,75.9,2016,10,10 +5.651,4.973,322883,18,320,560,53.295,10.8,14,5,0,70,0,10,19.3,40.7,50,2016,10,11 +4.985,5.239,350181,34,410,750,60.563,9.1,15,4,0,75,0,9.7,18.1,38.9,57.6,2016,10,12 +4.577,5.492,343520,34,340,760,60.406,9,14.1,2,0,67,0,10,13.3,24.1,0,2016,10,13 +6.556,10.38,339821,29,290,620,48,12.9,21,7,0,74,0,9.5,19.4,37,51.9,2016,10,16 +7.465,6.998,329858,24,320,590,52.819,13.4,18,9.9,0,58,0,9.7,22.2,29.4,46.5,2016,10,17 +6.769,4.929,347406,30,360,690,60.563,8.3,16,3,0,72,0,10,19.8,40.7,59.4,2016,10,18 +6.71,6.338,273169,29,360,730,62.218,11.1,15,7,0,53,0,0,19.3,53,68.3,2016,10,19 +5.277,5.326,321799,30,370,770,61.69,16.9,21,14,0,43,0,0,47.6,74.1,100,2016,10,20 +3.936,4.253,324576,20,240,660,58.769,9.9,13,5,0,70,0,9.8,17.8,33.5,0,2016,10,23 +4.472,4.601,334776,29,350,670,61.396,13,15,9,0,66,0,10,18,50,70.6,2016,10,24 +4.052,5.071,343844,26,340,780,59.797,18.9,23,14,0,44,0,0,29.1,50,68.3,2016,10,25 +4.53,4.725,350836,37,360,1100,66.797,11.3,19,5,0,84,0,9,13,31.7,0,2016,10,26 +3.781,4.783,374982,41,380,660,60.629,9.8,15,4,0,66,0,10,18,29.4,0,2016,10,27 +3.792,4.661,265250,44,370,670,61.608,13.3,25,6,0,50,0,10,33,64,87,2016,10,30 +5.816,10.241,290343,33,340,720,61.19,11.9,19,6.5,0,66,0,9.8,17.6,37,40.7,2016,11,1 +7.366,8.025,312313,34,400,700,51,12.8,18,7,0,66,0,10,14.6,25.9,0,2016,11,2 +6.641,5.822,311909,34,530,690,62.145,13.9,21,8,0,67,0,10,13.3,31.7,0,2016,11,3 +5.979,5.554,317380,42,350,780,61.885,17.3,21,14,0,52,0,10,23.9,51.9,72.2,2016,11,6 +4.905,4.709,308886,26,300,630,57.086,15.4,25,9,0,61,0,10,21.5,55.4,74.1,2016,11,7 +3.239,4.335,275366,26,350,720,59.545,13.2,18.3,8,0,62,0,9.8,15,25.9,0,2016,11,8 +2.984,3.993,302033,30,340,770,61.24,13,18,9,0,71,0,10,15.6,24.1,0,2016,11,9 +2.994,4.504,297927,40,350,840,62.257,11.8,18,5,0,72,0,10,12.2,20.6,0,2016,11,10 +3.694,3.778,289343,34,422.98,845.96,63.312,16.8,24,11,0,56,0,9.8,27,38.9,61.1,2016,11,12 +4.587,4.694,306020,37,320,720,61.396,12.6,18,9.8,0,84,0,8.7,28,37,57.6,2016,11,13 +3.433,3.965,151270,27,260,530,53.106,12.3,17,8.8,0,71,0,10,23.5,37,0,2016,11,14 +3.123,3.676,232501,30,340,720,61.668,13.3,18.1,8.7,0,76,0,10,15.4,25.9,0,2016,11,15 +2.963,3.602,350012,33,340,660,52,15.9,23,11,0,70,0,10,16.5,35.2,46.5,2016,11,16 +2.981,3.165,349776,37,370,770,61.591,21.9,30,14,0,46,0,8.4,21.3,38.9,61.1,2016,11,17 +3.01,3.407,272259,31,300,460,54.389,26.3,33.1,21,0,42,0,0,26.1,53.5,68.3,2016,11,20 +3.015,3.541,295352,37,360,880,64.321,22.4,34.1,13,0,57,0,8.7,20.4,57.6,83.5,2016,11,21 +2.849,3.572,351523,40,330,910,63.091,12.3,14,10.6,0,90,0,8.4,12,27.8,0,2016,11,22 +2.984,3.851,346530,36,410,820,61.396,10.7,14.1,8,0,75,0,9.7,22.4,38.9,55.4,2016,11,23 +3.772,4.147,279054,40,470,1100,68.183,12.6,17,9,0,68,0,10,20.4,29.4,0,2016,11,24 +2.949,3.479,265138,44,330,730,61.504,14.2,17,12,0,79,0,9.3,13,20.6,0,2016,11,27 +3.061,3.509,264954,43,440,850,67,14.9,21,10,0,69,0,10,12.2,22.2,0,2016,11,28 +4.01,4.204,261667,39,330,860,63.136,15.4,21,10,0,71,0,9.5,15.6,25.9,0,2016,11,29 +2.958,3.743,306998,40,320,870,63.091,15,19.2,9,0,76,0,10,13.3,24.1,0,2016,11,30 +3.597,4.103,360903,39,340,930,63.155,16.7,24,10.9,0,67,0,10,13,24.1,0,2016,12,1 +5.204,4.975,288576,43,310,750,63.521,23.3,31,15.7,0,50,0,10,28.9,48.2,70.6,2016,12,4 +5.82,10.091,203027,40,540,1300,68.183,16.2,22,12,0,63,0,10,14.8,27.8,0,2016,12,5 +7.274,13.368,318615,39,490,1200,68.183,14.2,21,8,0,64,0,10,12.2,27.8,0,2016,12,6 +7.373,5.818,321522,44,520,1000,64.477,22.1,28,16,0,31,0,9,25.7,57.6,77.8,2016,12,7 +5.518,4.608,361701,35,320,680,61.396,14.4,23,8,0,62,0,10,33.2,53.5,72.2,2016,12,8 +5.368,5.64,324125,46,640,1300,68.183,14.7,27,8,0,66,0,10,14.8,24.1,0,2016,12,11 +5.451,5.124,288885,36,340,950,70,25.7,33,17,0,24,0,0,23,46.5,61.1,2016,12,12 +3.443,3.998,297419,38,360,900,64.321,24.6,35.2,15,0,34,0,10,25.9,44.6,64.8,2016,12,13 +3.387,4.042,344684,39,310,940,63.312,14.2,19,9,0,55,0,10,22,33.5,48.2,2016,12,14 +3.874,4.638,343474,40,340,940,63.155,13.9,23,8,0,62,0,10,19.3,31.7,46.5,2016,12,15 +4.243,4.371,317555,42,340,760,61.051,13.3,21,5.6,0,50,0,10,20,40.7,53.5,2016,12,18 +3.538,4.019,289704,40,370,840,63.312,22.9,30,14,0,27,0,8.7,26.1,40.7,61.1,2016,12,19 +3.785,4.348,334202,40,420,840,63.155,16.4,23,10,0,54,0,10,17.6,29.4,51.9,2016,12,20 +4.185,4.718,325270,42,550,900,64.477,15.9,20,14,0,61,0,10,21.1,29.4,50,2016,12,21 +4.072,4.405,328625,41,320,950,63.091,16.6,27,12,0,69,0,10,16.5,29.4,0,2016,12,22 +4.073,4.073,296143,42,422.98,845.96,64.164,22.6,32,15,0,53,0,10,13.7,27.8,48.2,2016,12,23 +4.052,4.51,193270,58,422.98,845.96,63.664,19.4,27.2,17,0,79,0,9.7,12,24.1,0,2016,12,26 +3.256,3.949,198034,50,310,820,61.991,24.1,28,21,0,72,0,9.7,17,48.2,77.8,2016,12,27 +3.339,3.775,221962,41,540,910,62,30.2,38,26,0,44,0,0,30.9,68.3,85.2,2016,12,28 +3.727,4.063,249398,26,320,740,61.238,23.8,34,19,0,82,0,8,18,44.6,64.8,2016,12,29 +3.167,3.966,243256,30,422.98,845.96,63.683,21.2,30,16,0,63,0,10,16.5,27.8,50,2016,12,30 +3.775,4.088,248758,49,260,640,61.76,15.6,18,14,0,72,0,0,20.9,33.5,0,2017,1,2 +3.35,4.002,273805,50,320,790,62.16,17.4,26,15,0,70,0,0,15.4,27.8,0,2017,1,3 +6.518,13.246,315502,38,340,700,61.24,23.7,30,18,0,60,0,0,17.4,27.8,0,2017,1,4 +7.904,18.968,289960,42,330,820,63.169,23.1,33,16,0,60,0,0,15.7,31.7,0,2017,1,5 +7.92,13.169,234544,42,320,740,63.169,21.5,34,17,0,64,0,0,19.4,31.7,0,2017,1,8 +7.913,9.306,273650,39,330,770,62.16,19.5,24,17,0,71,0,0,11.7,18.3,0,2017,1,9 +7.895,6.691,289576,41,380,960,64.32,20.7,29,15,0,63,0,0,16.1,31.7,0,2017,1,10 +7.718,5.659,226540,39,340,830,54,17.9,26,11,0,63,0,0,16.7,37,57.6,2017,1,11 +7.582,6.369,221330,39,380,920,64.522,22.7,29,18,0,48,0,0,15.2,35.2,53.5,2017,1,12 +7.387,6.011,208333,49,400,780,62.019,16.7,22,12.7,0,64,0,0,10.7,25.9,0,2017,1,15 +7.477,6.474,210266,37,360,1000,65.374,26,34,19,0,34,0,0,14.3,29.4,0,2017,1,16 +4.182,5.151,257722,46,360,910,65.486,25.1,37.2,14,0,37,0,8.9,19.8,35.2,53.5,2017,1,17 +2.987,4.138,308029,50,420,1200,67.656,15.7,21,10,0,57,0,51.8,21.7,35.2,50,2017,1,18 +3.119,4.229,330675,37,520,1300,68.82,19.1,25,15,0,61,0,7.7,15.4,38.9,59.4,2017,1,19 +5.577,6.706,267534,51,270,720,63.393,23.6,31,19,0,58,0,0,13.3,37,0,2017,1,22 +6.693,5.424,258182,46,350,1000,62,26.1,36.4,18,0,45,0,0,21.5,37,61.1,2017,1,23 +5.975,5.579,307794,36,370,1100,67.656,17,23,10,0,56,0,0,20.9,35.2,53.5,2017,1,24 +7.04,6.513,290872,55,350,790,61.539,17.9,21.2,16,0,67,0,0,16.7,25.9,0,2017,1,26 +6.926,6.404,254138,55,480,1300,68.82,22.8,28,16,0,55,0,0,17.2,33.5,0,2017,1,29 +5.138,5.337,204002,47,350,820,62.384,21.7,30,15.6,0,55,0,51.8,21.9,51.9,70.6,2017,1,30 +3.724,4.601,278886,29,460,1000,63.838,17.5,22,12,0,54,0,0,16.1,27.8,53.5,2017,1,31 +3.624,4.609,285228,45,510,920,65.114,16.4,20.3,10,0,59,0,0,11.9,24.1,0,2017,2,1 +3.479,4.44,291341,47,510,910,65.114,18.2,25,13,0,60,0,0,13.3,31.7,0,2017,2,2 +4.518,5.269,255289,27,770,1300,68.82,25.3,30,19,0,66,0,8.2,20.6,31.7,48.2,2017,2,5 +5.945,5.635,283990,27,310,610,46,15.4,19,14.6,0,65,0,0,20.7,25.9,0,2017,2,6 +5.292,5.215,277078,38,360,930,64.412,20.3,28,15,0,68,0,0,12.8,42.4,57.6,2017,2,7 +3.021,4.03,295661,40,360,810,63.051,29.8,35,25,0,40,0,0,43.5,64.8,87,2017,2,8 +3.055,3.994,273697,39,350,670,63.326,22.7,37,16.9,0,71,0,0,19.1,57.6,72.2,2017,2,9 +5.635,6.172,237793,49,350,810,62.119,15,20,12.9,0,60,0,0,28.5,46.5,63,2017,2,12 +3.532,4.457,264397,45,370,800,62.374,16.2,21,13,0,70,0,0,20.9,35.2,0,2017,2,13 +3.558,4.448,325099,40,490,880,65.114,13.9,22,8,0,68,0,0,15.9,40.7,0,2017,2,14 +4.443,4.629,320327,36,360,920,64.958,22.5,32,16.8,0,46,0,0,21.1,44.6,63,2017,2,15 +4.283,4.488,288086,38,420,990,63.728,17.8,25,11,0,70,0,0,14.1,29.4,0,2017,2,16 +3.007,4.33,287587,42,460,1000,64.523,12.2,17,9,0,73,0,51.5,24.4,38.9,53.5,2017,2,19 +4.988,5.497,310907,35,330,750,61.396,14.3,21,8,0,62,0,0,19.6,40.7,53.5,2017,2,20 +4.326,5.284,366068,40,390,930,63.949,17.6,24,11,0,49,0,0,15.2,33.5,50,2017,2,21 +4.285,4.747,349201,41,370,840,66,23.7,33,13,0,34,0,0,23.7,48.2,68.3,2017,2,22 +5.032,5.844,323395,42,440,950,63.792,19.4,26,15,0,64,0,0,19.3,24.1,42.4,2017,2,23 +4.421,4.431,305186,46,300,760,61.757,21.6,29,14,0,53,0,0,14.8,44.6,0,2017,2,26 +4.615,5.428,304202,40,410,840,64.801,25.1,33,15,0,36,0,0,15.9,29.4,0,2017,2,28 +4.174,5.128,298728,39,390,1100,67.744,21.8,32.3,12,0,47,0,5.5,11.1,25.9,0,2017,3,1 +3.957,4.711,283244,36,520,940,65.59,20.7,26,17,0,73,0,9.7,18.5,27.8,0,2017,3,2 +3.923,4.222,258740,40,320,790,62.16,20.4,26,17,0,70,0,10,24.3,31.7,0,2017,3,5 +3.694,4.558,240628,38,440,910,64.477,19.1,27,11,0,60,0,10,20.4,37,48.2,2017,3,6 +4.533,4.342,329796,32,460,1100,67.544,19.3,27,11.8,0,54,0,0,13.7,27.8,0,2017,3,7 +3.36,4.816,256277,35,430,960,65.486,22.4,31,14,0,39,0,0,17,35.2,0,2017,3,8 +3.174,4.521,280493,38,160,1000,68,23.6,32,14,0,36,0,0,12,27.8,0,2017,3,9 +5.469,4.714,318664,29,422.98,845.96,63.728,20.6,27,15.8,0,68,0,10,10.9,22.2,0,2017,3,10 +3.166,3.348,242941,43,310,720,62.16,20.8,26,16,0,73,0,9.8,15.2,27.8,0,2017,3,13 +3.147,4.827,237300,40,550,960,66.354,25.9,32,20.8,0,43,0,0,18.5,40.7,57.6,2017,3,14 +5.436,6.533,262160,42,520,870,66.354,26.8,34,20,0,43,0,9.7,29.8,48.2,61.1,2017,3,15 +5.072,4.903,287993,50,600,910,65.59,17.9,23,13,0,66,0,10,20.7,31.7,0,2017,3,16 +4.711,4.894,292123,46,360,820,62.795,25.1,33,18.9,0,42,0,0,13.5,31.7,0,2017,3,19 +3.383,4.404,301248,42,330,850,69,21.9,28.3,18.7,0,83,0,8.4,11.9,29.4,0,2017,3,20 +3.949,4.245,305637,43,350,860,63.728,20.7,27,17,0,89,0,6.9,18.3,29.4,0,2017,3,21 +1.874,4.168,269781,44,440,960,64.412,17.3,21,14,0,83,0,10,23.9,37,0,2017,3,22 +4.805,4.036,271353,58,530,910,65.59,17.4,24,12,0,74,0,10,14.4,27.8,0,2017,3,23 +3.042,4.295,237360,50,520,1100,68.82,22.2,28,19,0,67,0,10,21.1,55.4,77.8,2017,3,26 +3.746,4.119,252600,41,370,780,62.628,17.1,31,10,0,67,0,9.8,21.9,61.1,81.7,2017,3,27 +3.172,4.191,250282,46,520,1100,68.82,18.4,24.1,12,0,53,0,10,14.6,27.8,0,2017,3,28 +3.853,4.08,261043,42,200,880,63.995,16.1,27,8,0,58,0,9.2,23.7,46.5,55.4,2017,3,29 +3.114,4.073,224420,41,420,830,63.995,12.3,18,9,0,67,0,10,17.2,33.5,50,2017,3,30 +3.071,4.069,250990,47,340,1100,71,12.6,0,6,0,62,0,10,22,33.5,50,2017,4,2 +4.878,4.137,263371,43,520,920,65.114,14.1,21,7,0,61,0,10,10.4,16.5,0,2017,4,3 +4.275,4.058,240560,48,530,880,65.114,16.8,25,10,0,48,0,0,14.4,29.4,0,2017,4,4 +4.446,4.091,242268,43,440,920,63.995,18,25,12,0,43,0,0,20.2,33,0,2017,4,5 +3.116,6.464,260517,48,370,980,63.995,19.1,26,11.9,0,36,0,0,19.8,35.2,0,2017,4,6 +5.465,4.703,258211,42,270,760,61.69,11.2,13,9,0,87,0,7.6,27,44.6,63,2017,4,9 +5.964,6.066,284125,39,230,680,61.885,12.2,14,10.9,0,55,0.25,9.8,23,40.7,57.6,2017,4,10 +5.189,12.893,321321,40,350,890,63.792,14.3,18,10.6,0,53,0,9.7,15.2,27.8,0,2017,4,11 +7.488,6.878,270400,39,360,920,64.32,13.8,19,9,0,50,0,9.8,11.5,14.8,0,2017,4,12 +7.19,6.211,244740,44,340,840,64.256,13.9,18,10,0,83,0,10,9.1,16.5,0,2017,4,17 +5.845,5.393,313001,44,430,810,74,15.4,21,10,0,79,0,5.8,9.8,16,0,2017,4,18 +6.122,5.219,259369,45,370,810,62.569,21.3,26,18,0,49,0,0,26.5,40.7,59.4,2017,4,19 +5.734,5.13,258002,41,390,810,62.371,20.2,26,15.8,0,57,0,9,21.7,44.6,63,2017,4,20 +3.878,4.941,257330,47,340,720,61.834,17.3,21.1,15,0,83,0,9.5,6.9,22.2,0,2017,4,23 +4.374,4.473,287772,29,200,490,54.389,13.8,18,9,0,79,0,9.3,19.1,35.2,48.2,2017,4,25 +4.884,6.368,316517,27,170,845.96,61.118,5.8,13,6.5,0,74,0,9.8,23.5,48.2,72.2,2017,4,26 +6.102,6.053,322863,35,300,540,55.605,11.5,15,10.8,0,75,0,10,15.6,31.7,0,2017,4,27 +6.1,6.794,344321,44,350,620,59.879,13.7,16,10,0,63,0,10,16.5,25,0,2017,4,30 +6.119,6.55,328402,58,320,870,63.728,13,18.3,7,0,74,1.02,10,18,29.4,0,2017,5,1 +6.123,6.12,311566,58,340,1000,67,9.3,14,7,0,74,0,10,15.7,31.7,48.2,2017,5,2 +4.98,5.69,312726,58,360,780,60.792,9.4,14,4,0,72,0,10,12.6,20.6,0,2017,5,3 +4.776,5.259,317632,58,450,960,63.004,9.9,16,4,0,70,0,0,11.7,22.2,0,2017,5,4 +3.886,4.829,292509,81,310,760,60.891,10,14,6.8,0,73,0,10,18.3,33.5,50,2017,5,7 +4.398,4.399,289568,47,320,740,61.533,11.4,15,9.6,0,89,0,10,13.9,25.9,0,2017,5,8 +4.712,4.603,321937,46,270,990,62.894,11.2,15,6,0,82,0,10,9.6,18.3,0,2017,5,9 +5.368,4.845,219198,44,320,845.96,63.467,10.4,17,4.7,0,78,0,10,12,20.6,0,2017,5,10 +3.668,4.821,320927,45,360,890,62.894,10.4,16,4.9,0,77,0,9,12.6,25.9,0,2017,5,11 +3.993,4.872,361560,50,370,830,62.894,10.5,13.2,6.8,0,87,0,8.9,8.9,14.8,0,2017,5,14 +4.086,4.149,319684,47,340,860,62.894,9.6,15,3.9,0,89,0,9.5,9.3,14.8,0,2017,5,15 +3.89,4.086,300436,49,350,960,70,13.2,18,10.9,0,74,0,10,16.3,29.4,0,2017,5,16 +3.912,3.922,324302,50,370,850,63.728,12.7,15,7.9,0,77,0,0,9.4,15.5,0,2017,5,17 +3.003,4.423,309520,44,370,970,63.728,13.2,19,9,0,75,0,0,7.4,31.7,0,2017,5,18 +4.742,4.541,274613,46,330,910,63.885,13.9,17,11,0,82,0,10,23.3,35.2,0,2017,5,21 +2.966,3.358,291639,48,340,830,63.949,15.8,19,13.7,0,66,0,10,32.4,50,70.6,2017,5,22 +5.711,4.672,290715,48,370,930,63.885,13.3,18,8,0,76,0,10,21.1,35.2,50,2017,5,23 +6.207,4.209,365619,50,470,990,65.114,13.4,17,11.7,0,67,0,10,16.5,33.5,48.2,2017,5,24 +7.404,9.051,294876,54,410,910,63.728,13.7,17,11,0,76,0,10,17.8,27.8,0,2017,5,25 +7.755,7.928,321372,53,310,720,57,8,14,4,0,75,0,10,20.2,38.9,51.9,2017,5,28 +5.836,8.088,321293,54,260,760,61.597,11,14,9,0,68,0,10,23.7,38.9,0,2017,5,29 +5.096,8.575,323423,52,320,810,60.728,7.6,12.1,5,0,76,0,10,21.7,35.2,0,2017,5,30 +5.02,6.232,276919,39.222,330,770,62.032,9.4,12.1,7,0,79,0,10,13.9,27.8,0,2017,5,31 +4.041,5.505,339763,49,380,950,62.257,9.1,13,6.8,0,69,0,10,10.4,16.5,0,2017,6,1 +5.137,4.552,297041,42,330,820,60.7,9.4,15,5,0,73,0,10,11.5,22.2,0,2017,6,4 +4.107,4.847,279777,45,320,840,63.091,11.4,17,7.7,0,77,0,10,18.5,24.1,0,2017,6,5 +5.056,4.868,182092,44,310,780,61.285,9.2,12,5.8,0,77,0,10,15,37,51.9,2017,6,6 +4.141,4.658,281825,50,330,920,62.257,7.8,13,2.6,0,76,0,10,12.6,20.6,0,2017,6,7 +5.511,5.041,275958,48,360,930,63.136,9.5,15,7,0,86,0,9.3,11.7,27.8,0,2017,6,8 +5.823,4.769,319099,40,422.98,845.96,62.257,9.5,14,6,0,83,0,10,8.3,20.6,0,2017,6,9 +4.67,5.667,350719,50,320,760,60.7,11.4,16.3,5.8,0,80,0,10,12.6,29.4,0,2017,6,12 +4.202,5.43,321571,50,320,860,62.257,7.8,14,2,0,85,0,9.5,9.6,22.2,0,2017,6,13 +5.681,4.774,341991,45,370,930,63.091,11.1,16,8,0,76,0,10,18,29.4,0,2017,6,14 +5.512,5.806,239807,40,370,920,63,11.1,17,6.6,0,76,0,10,18,24.1,0,2017,6,15 +4.648,4.152,284389,57,320,760,60.735,10.4,16,6,0,83,0,10,11.7,24.1,0,2017,6,18 +4.149,5.28,312379,50,260,820,60.7,10.7,15.7,5,0,75,0,10,13.3,25.9,0,2017,6,19 +3.802,4.857,272984,47,370,930,63.248,10.7,15,8,0,75,0,9,23.5,35.2,0,2017,6,20 +2.933,4.41,304183,50,280,840,62.257,8.7,13,2.5,0,85,0,10,9.6,24.1,0,2017,6,21 +4.256,4.049,337139,45,400,890,62.257,9.4,13,6,0,73,0,10,19.3,27.8,0,2017,6,22 +3.489,3.9,298144,50,320,850,62.303,9.8,13,5.6,0,75,0,9.8,15.7,25.9,0,2017,6,25 +4.817,4.181,195587,45,330,960,62.83,9.3,12,6,0,84,0,10,7.6,18.3,0,2017,6,26 +4.381,4.044,246730,48,370,960,58,8.6,10.2,7,0,77,0,10,20.6,27.8,0,2017,6,27 +4.346,4.845,285134,47,300,920,63.091,10.1,14,7.7,0,75,0,10,17.4,24.1,0,2017,6,28 +4.617,5.157,305978,52,310,890,62.414,8.3,12,5,0,77,0,10,18.7,33.5,0,2017,6,29 +6.115,4.151,308145,44,350,820,61.051,7.8,12,3.9,0,49,0,0,27.6,48.2,72.2,2017,7,2 +5.134,5.889,315481,49,300,830,63.248,10.1,12,8,0,79,0,9.8,24.8,37,50,2017,7,3 +4.324,5.898,195683,37,240,860,63.664,12,16,9,0,75,0,1,18.5,25.9,0,2017,7,4 +4.756,4.74,313468,30,320,910,62.257,8.7,14,3,0,74,0,1,17.4,24.1,0,2017,7,5 +3.563,4.72,341903,48,320,920,63.248,9.4,14,7,0,73,0,1,23.9,35.2,53.5,2017,7,6 +3.668,4.9,309428,36,300,820,66,8.8,13,5,0,66,0,10,23,31.7,0,2017,7,9 +4.053,3.939,310785,45,310,860,62.303,9.9,15,4,0,72,0,1,14.3,27.8,0,2017,7,10 +4.298,4.112,322189,40,320,880,62.257,7,13,2,0,79,0,1,11.5,24.1,0,2017,7,11 +4.289,4.478,283526,51,340,970,62.414,9,14,5,0,68,0,1,25.7,61.1,75.9,2017,7,12 +4.778,4.481,348358,40,320,980,63.248,10.4,12,9,0,68,0,10,42.8,55.4,83.5,2017,7,13 +4.364,4.474,305924,42,340,780,60.856,8.6,11,6.7,0,59,0,101,40.7,51.9,72.2,2017,7,16 +4.444,4.89,275043,50,340,920,63.293,10.1,14,7,0,70,0,1,31.3,53.5,70.6,2017,7,17 +3.523,4.592,314661,50,340,1100,66.954,9.8,14,7,0,77,0,1,21.1,33.5,50,2017,7,18 +6.058,4.922,330698,44,340,880,62.414,8.5,11,5,0,83,0,9.5,25,37,57.6,2017,7,19 +5.623,4.623,342479,44,260,840,60.481,6.1,10,1.7,0,81,0,10,17.4,48.2,51.9,2017,7,20 +4.283,6.693,284274,46,270,790,60.728,9.2,14,4.8,0,79,0,9.8,19.1,38.9,0,2017,7,23 +3.819,4.942,293730,38,300,890,63.248,10.6,15,8,0,75,0,1,25.6,42.4,0,2017,7,24 +3.828,4.511,312083,43,350,1000,56,12.1,17,9,0,65,0,10,25.7,46.5,0,2017,7,25 +3.376,4.287,315783,36,290,920,62.414,8.3,15,4,0,79,0,10,20.6,37,51.9,2017,7,26 +5.025,4.619,324973,37,370,920,62.414,9.9,12,6,0,76,0,10,28.2,50,64.8,2017,7,27 +3.407,3.668,239882,40,220,830,63.052,9.6,17,3,0,62,0,1,16.3,35.2,0,2017,7,30 +4.242,4.646,288137,37,300,800,60.406,7.7,15,3,0,72,0,10,12,20.6,0,2017,7,31 +2.986,3.847,298435,37,270,870,62.257,7.4,14,2,0,78,0,6.8,8.3,14.8,0,2017,8,1 +4.126,4.421,302644,38,340,1000,60.324,5.4,12,1,0,84,0,8.7,9.6,16.5,0,2017,8,2 +3.617,3.895,303115,43,320,900,62.257,6.8,8.1,4,0,93,0,5.1,7.8,14.8,0,2017,8,3 +3.732,3.903,282028,40,330,920,62.414,8.4,12,6,0,74,0,0,24.3,37,50,2017,8,6 +3.663,4.162,285242,37,320,820,60.563,7.7,12,5,0,82,0,0,21.7,35.2,0,2017,8,7 +3.712,4.098,284836,36,330,820,60.406,10.6,14.1,6,0,73,0,0,18.1,21.8,0,2017,8,8 +4.215,4.109,212253,38,360,800,62.023,12.3,16,10,0,69,0,0,45.9,74.1,98.2,2017,8,9 +5.005,3.566,312287,40,330,830,68,12.9,18,7.7,0,54,0,0,27.6,66.5,81.7,2017,8,10 +4.044,5.16,292451,34,300,750,61.591,13.9,18,11.6,0,52,0,0,39.4,53.5,70.6,2017,8,13 +4.164,5.036,264278,41,320,850,63.358,13.7,19,9,0,59,0,0,29.6,51.9,10.6,2017,8,14 +3.815,4.256,338322,41,350,900,63.248,13.9,17,9.7,0,70,0,0,27.6,55.4,66.5,2017,8,15 +4.006,4.315,347841,41,360,900,63.312,12.6,17,8,0,55,0,0,31.9,53.5,75.9,2017,8,16 +3.901,4.306,352555,31,340,870,62.479,9.3,15,5,0,67,0,0,26.5,46.5,70.6,2017,8,17 +3.783,4.241,320506,30,260,740,60.563,8.5,13,6,0,61,0,0,13.5,33.5,0,2017,8,20 +4.445,4.086,297794,93,320,800,60.735,8.3,12,4,0,71,0,0,20.6,21.8,0,2017,8,21 +4.013,4.607,325069,40,340,850,60,11.9,17,7,0,63,0,0,11,24.1,0,2017,8,22 +3.973,4.517,286574,32,350,880,62.414,9.4,17,4,0,74,0,9.7,18.9,33.5,51.9,2017,8,23 +4.582,4.219,315745,32,300,780,60.406,7.8,13.1,3,0,77,0,0,14.8,31.1,0,2017,8,24 +5.545,4.341,314119,27,250,660,58.769,5.8,9.2,3,0,80,0,0,18.3,46.5,70.6,2017,8,27 +4.123,5.25,288283,42,310,740,60.765,7.1,11,3,0,79,0,0,10.2,18.3,0,2017,8,28 +4.403,5.395,289394,42,330,820,60.572,8.8,12,4,0,70,0,0,11.9,24.1,0,2017,8,29 +4.579,4.552,306590,45,370,970,62.257,7,12,1,0,77,0,9.8,13.5,27.8,0,2017,8,30 +4.232,4.563,282173,30,360,950,62.849,7.7,14,2,0,66,0,0,14.1,29.4,42.4,2017,8,31 +4.54,4.604,281519,36,360,980,63.84,11.2,15,7,0,59,0,10,24.3,40.7,63,2017,9,3 +4.667,4.57,293503,40,460,1000,62.524,7.5,13,4.9,0,56,0,10,30.9,57.6,77.8,2017,9,4 +5.432,4.641,319247,36,380,930,70,7.8,13,4.8,0,65,0,9.7,29.8,50,66.5,2017,9,5 +4.573,5.237,254582,30,370,920,62.942,9.6,15,5,0,73,0,10,21.3,38.9,53.5,2017,9,6 +5.162,5.288,337212,42,420,1000,62.414,10.1,15,6.8,0,75,0,9.8,23.5,37,53.5,2017,9,7 +4.531,5.459,313190,38,330,830,63.312,11.4,16,8,0,63,0,10,21.5,53.5,68.3,2017,9,10 +4.261,4.805,326101,43,340,880,63.312,14.3,17,11,0,62,0,10,30.2,50,72.2,2017,9,11 +4.193,4.646,370055,48,340,940,63.248,14.7,20,9,0,72,0,10,19.1,33.5,46.5,2017,9,12 +4.188,4.488,304270,27,350,890,62.414,8.5,15,4,0,70,0,10,27.8,44.6,63,2017,9,13 +4.338,4.591,304934,31,480,910,64.477,11.3,14,9,0,67,0,10,22.6,37,53.5,2017,9,14 +3.815,4.661,321835,24,320,730,59.797,12.7,18,9,0,44,0,0,37,64.8,85.2,2017,9,17 +4.103,4.4,346073,32,360,920,63.312,13.4,21.2,7,0,49,0,10,31.9,61.1,79.5,2017,9,18 +3.282,4.161,371725,29,380,1300,67.019,9.3,14,4.9,0,64,0,10,20,35.2,50,2017,9,19 +4.46,4.562,236862,31,480,1100,68.183,14.1,19,11,0,53,0,0,32.8,55.4,74.1,2017,9,20 +4.314,4.16,301200,35,422.98,845.96,63.312,15.4,23,10,0,60,0,10,20.9,51.9,70.6,2017,9,21 +4.512,4.208,326495,41,380,860,63.312,14.3,19,9,0,53,0.25,9.2,29.1,57.6,75.9,2017,9,24 +4.11,5.036,262565,38,422.98,845.96,62.942,8.2,13.4,2,0,78,0,10,17,35.2,48.2,2017,9,25 +3.587,4.608,320429,40,422.98,845.96,63.312,11.5,16,8,0,56,0,10,10.6,37,57.6,2017,9,26 +4.898,4.362,339197,38,520,860,64.477,15.7,24,7.5,0,47,0,10,20.2,51.9,70.6,2017,9,27 +4.525,4.288,233792,46,422.98,845.96,63.84,13.2,17,9,0,52,0,10,25,40.7,63,2017,9,29 +4.324,5.333,283684,50,400,970,62.785,11.9,17,6,0,75,0,9.5,13.3,24.1,0,2017,10,1 +3.803,4.696,274785,45,450,1000,62.895,10.5,19,4,0,73,0,10,11.3,20.6,0,2017,10,2 +4.415,4.341,259801,44,330,900,66,13.3,23,5.5,0,60,0,10,13,24.1,0,2017,10,3 +3.418,4.512,303702,41,380,1000,63.155,20.6,26,17,0,38,0,0,19.5,29.4,50,2017,10,4 +4.603,4.335,343694,44,420,900,63.312,13.1,20,8.6,0,65,0,10,29.3,50,63,2017,10,5 +5.155,4.269,342413,44,320,840,63.312,18.3,25,13,0,66,0,9.8,35,64.5,77.5,2017,10,8 +4.931,4.901,341127,44,480,845.96,63.643,12.4,19.2,5,0,60,0,10,18.1,40.7,61.1,2017,10,9 +4.021,5.469,256975,41,480,920,64.953,14.2,20,7,0,49,0,10,15.4,55.4,79.5,2017,10,10 +4.792,4.816,375692,41,410,880,63.312,14.5,24,7.8,0,61,0,9.7,29.3,63,77.5,2017,10,11 +4.057,4.551,339797,38,320,790,60.758,13.9,18,5,0,56,0,10,18.1,35.2,50,2017,10,12 +3.729,4.736,298750,44,320,690,55,13.9,23,9,0,73,0,9,11.3,27.5,0,2017,10,15 +4.303,4.426,303516,41,330,900,63.312,20.3,28.1,12.5,0,51,0,0,18.7,38.9,55.4,2017,10,16 +4.036,4.349,334167,41,370,1000,63.312,21.5,30,12,0,37,0,0,24.6,51.9,64.5,2017,10,17 +4.179,4.285,279218,40,440,900,63.84,24.7,30,19,0,41,0,10,31.1,46.5,59.4,2017,10,18 +4.129,4.487,285873,48,350,930,62.942,14.9,25,5,0,73,0,9.7,19.1,38.9,55.4,2017,10,19 +4.144,4.352,314317,39,400,850,63.091,13.2,16,10,0,75,0,10,15.9,24.1,0,2017,10,22 +4.491,4.167,331802,34,420,850,63.091,14.5,20,9,0,70,0,10,10.2,27.5,0,2017,10,23 +3.267,4.355,293425,37,350,880,63.091,15.5,22,12.7,0,77,0,7.9,10.7,25.9,0,2017,10,24 +3.003,4.241,180460,35,360,770,61.668,13.9,17,11,0,82,0,92,15.4,25.9,0,2017,10,25 +4.127,4.407,304905,45,410,830,63.155,13.5,20,12,0,50,0,10,17.5,29.4,48.2,2017,10,26 +3.897,4.277,276256,47,340,860,63.84,17.6,28.3,7,0,42,0,9.3,32,57.6,77.5,2017,10,29 +4.046,4.245,277247,33,340,910,62.942,9.6,15.2,5,0,71,0,10,18.5,42.4,51.9,2017,10,30 +3.968,4.193,275270,50,320,780,62.032,13,16,11.6,0,66,0,10,16.7,25.9,0,2017,10,31 +3.744,4.185,244846,50,380,790,58,12.9,17,9,0,81,0,92,16.3,24.1,0,2017,11,1 +3.929,4.386,284899,50,470,1000,64.477,11.3,15,8,0,72,0,0,14.1,33.5,50,2017,11,2 +3.049,4.039,237365,52,330,850,63.729,12.1,18,8,0,59,0,0,18.3,29.4,0,2017,11,5 +4.55,3.963,224424,78,330,810,62.547,12.3,15,8.7,0,54,0,0,21.5,33.5,57.6,2017,11,7 +3.678,3.925,212952,53,460,960,63.774,12.8,18,8,0,71,0,0,11.9,24.1,0,2017,11,8 +5.485,4.036,230159,52,400,940,63.729,15.3,22,10,0,67,0,9.8,13.5,25.9,0,2017,11,9 +4.606,4.211,265386,36,330,950,63.683,19.1,27,11,0,61,0,8.7,13.1,27.8,0,2017,11,12 +4.37,5.706,270370,46,550,1100,68.183,25.4,33,17,0,34,0,0,22,51.9,70.6,2017,11,13 +4.212,4.506,263309,41,480,1000,65.717,27.6,34,22,0,27,0,0,30.6,51.9,72.2,2017,11,14 +3.82,5.062,302874,42,440,890,58,21.2,31,16.5,0,62,0,6.8,18.3,51.9,70.6,2017,11,15 +4.704,4.314,320313,38,350,860,63.091,18.3,23,15,0,83,0,0,14.4,25.9,0,2017,11,16 +3.238,4.197,262783,41,340,900,63.84,21.7,28.1,14.6,0,57,0,0,19.3,37,0,2017,11,19 +3.87,4.198,280668,40,290,900,64.849,23.8,31,14.6,0,47,0,0,19.6,33.5,0,2017,11,20 +3.926,4.258,283348,45,360,1100,67.315,25.1,32,16,0,38,0,0,17,35.2,0,2017,11,21 +3.001,4.231,275802,38,430,940,64.849,23.6,32.4,12,0,33,0,0,16.9,38.9,0,2017,11,22 +4.186,4.444,292177,43,380,890,64.321,24.8,33.1,16,0,39,0,0,19.1,40.7,61.1,2017,11,23 +2.759,4.161,285816,49,300,870,63.619,19.8,27.5,15,0,78,0.25,8.4,14.8,31.7,0,2017,11,26 +5.087,4.317,284670,50,430,840,53,16.3,22,11,0,73,0,0,14.6,29.4,0,2017,11,27 +4.351,4.398,293724,42,350,890,63.312,24.7,30,18,0,53,0,0,18,44.6,0,2017,11,28 +3.883,4.154,323670,42,360,950,64.321,28.7,35,21,0,37,0,0,23.5,48.2,68.3,2017,11,29 +3.761,4.253,357342,45,470,1100,68.183,25.7,35.1,20,0,53,0,0,23.2,40.7,48.2,2017,11,30 +3.935,4.081,328661,13,140,360,53.053,13,15.2,11,0,77,0,9,22.2,37,51.9,2017,12,3 +3.499,4.366,303007,29,280,590,54.531,13.3,17,10,0,76,0,10,16.5,31.7,0,2017,12,4 +3.921,4.201,352520,29,340,840,63.091,16.5,22,12,0,72,0,10,15.6,31.7,0,2017,12,5 +5.019,4.169,367629,39,350,740,61.533,15.3,22,9.7,0,72,0,10,12.8,25.9,0,2017,12,6 +5.735,3.977,364181,30,290,650,61.24,15.3,23,9,0,71,0,9.3,17,27.8,0,2017,12,7 +6.099,9.41,393338,38,360,770,61.24,17.6,23,13,0,67,0,10,14.6,25.9,0,2017,12,10 +6.015,11.354,331550,33,270,710,54,17.5,21,15,0,64,0,10,15.7,25.9,0,2017,12,11 +6.007,9.082,350111,35,610,900,65.241,20.8,31,13,0,53,0,10,16.9,38.9,51.9,2017,12,12 +5.941,8.745,344578,46,350,820,62.894,28.8,37,20.5,0,23,0,0,24.3,44.6,59.4,2017,12,13 +5.059,7.54,341039,36,300,780,61.24,18,24,13,0,65,0,10,17,29.4,0,2017,12,14 +4.767,6.202,330513,36,340,820,61.24,19.8,25,15,0,72,0,10,14.8,22.2,0,2017,12,17 +4.758,5.225,319609,32,420,890,64.321,28.7,33,25,0,31,0,0,17,37,51.9,2017,12,18 +4.757,5.219,316913,27,360,860,64.321,22.6,38,15,0,56,0,10,22.4,55.4,92.4,2017,12,19 +4.67,5.184,322943,27,330,800,59.702,16.2,24,10,0,64,0,10,17.8,33.5,48.2,2017,12,20 +4.521,4.697,315431,36,300,860,63.683,18.1,24.1,12,0,63,0,10,12.8,27.8,0,2017,12,21 +5.411,4.881,269519,37,422.98,845.96,64.849,21.3,31,14,0,47,0,9.3,17.4,33.5,50,2017,12,23 +4.099,5.369,269727,46,490,810,63.04,23.9,30,17,0,45,0,0,23.2,51.9,68.3,2017,12,26 +3.863,4.927,295216,27,290,570,47,28.6,34,23,0,35,0,10,22.2,40.7,57.6,2017,12,27 +4.348,4.393,272602,28,290,680,61.192,21.8,32,18,0,70,0,9.8,14.4,38.9,0,2017,12,28 +4.77,4.176,261361,29,422.98,845.96,63.775,18.2,24,13,0,83,0,9.5,12.6,35.2,0,2017,12,29 +3.952,4.995,294830,33,280,770,61.866,19.3,26,16,0,59,0,10,17.2,31.7,0,2018,1,1 +3.683,4.721,264043,35,320,750,61.866,17.2,23,11,0,62,0,10,20.9,31.7,53.5,2018,1,2 +3.666,4.322,228976,45,500,880,65.59,17.2,22,12,0,58,0,10,16.3,27.8,0,2018,1,3 +4.748,3.857,240676,46,670,940,65.59,18.4,24,12,0,65,0,10,12.2,25.9,0,2018,1,4 +4.083,4.434,281666,39,410,1100,67.486,18.2,21,16,0,74,0,10,13.7,22.2,0,2018,1,7 +3.66,4.897,263358,47,340,900,64.32,18.7,23,14,0,66,0,10,16.3,24.1,0,2018,1,8 +3.597,4.263,247567,44,540,970,65.59,17,22,12,0,61,0,10,23.5,35.2,48.2,2018,1,9 +5.034,4.023,200216,29,530,890,56,19.7,28,13.9,0,58,0,0,11.9,20.6,0,2018,1,10 +4.405,4.066,266754,37,360,920,65.486,29.6,35,25,0,26,0,10,22.4,46.5,59.4,2018,1,11 +4.091,5.283,219748,32,270,650,61.668,15.9,19,13,0,62,0,9.8,21.1,31.7,0,2018,1,14 +4.701,4.745,291562,40,330,1100,67.591,16.4,21,11,0,72,0,10,19.1,33.5,50,2018,1,15 +3.927,4.764,232473,47,340,950,64.32,18.5,26,11,0,59,0,10,16.5,31.7,0,2018,1,16 +3.747,4.695,243517,38,580,930,66.354,23.6,32,15.5,0,36,0,0,18,42.4,53.5,2018,1,17 +4.77,4.3,255588,50,490,990,66.354,32,39,22,0,16,0,0,25.2,46.5,64.8,2018,1,18 +6.02,4.029,241014,56,300,780,62.195,23.9,29,18.8,0,68,0,6.9,10.7,20.6,0,2018,1,21 +5.325,6.195,227807,36,300,790,56,20.6,26,17,0,66,0,10,17.2,29.4,0,2018,1,22 +4.198,5.502,251943,37,370,910,64.32,19.1,25,13,0,65,0,10,15,29.4,0,2018,1,23 +4.092,5.355,262035,45,420,920,64.32,20,25,16,0,67,0,10,15.4,27.8,0,2018,1,24 +4.118,4.419,255015,30,422.98,845.96,65.265,22.9,31,20,0,82,0,5.6,12.8,31.7,0,2018,1,26 +3.937,4.301,246633,35,350,750,63.227,32.1,38,26.9,0,39,0,0,35.7,57.6,75.9,2018,1,28 +4.07,4.142,311694,33,290,810,62.405,21.3,33,14,0,76,0,6.9,23.3,53.5,68.3,2018,1,29 +4.132,4.196,315479,20,230,550,53.053,15.3,19,12,0,60,0,10,26.5,38.9,53.5,2018,1,30 +3.657,4.174,300483,30,330,810,61.591,14.6,19,9,0,52,0,9.8,26.1,38.9,53.5,2018,1,31 +3.006,4.702,307393,49,370,820,61.748,17.3,22,13,0,60,0,10,19.6,37,50,2018,2,1 +5.868,4.204,281575,44,360,820,62.218,20.8,27,15,0,61,0,10,13.1,24.1,0,2018,2,4 +4.663,4.444,254419,37,400,800,65,21.1,27,16,0,65,0,10,14.4,25.9,0,2018,2,5 +6.044,5.409,256599,34,490,920,66.354,23.3,31,15.6,0,56,0,0,13.5,35.2,51.9,2018,2,6 +5.547,9.911,198060,31,360,850,65.531,28.1,37,20,0,37,0,0,18.1,33.5,0,2018,2,7 +5.054,8.081,283600,51,340,890,63.728,22.8,29,19,0,68,0,10,15.2,29.4,0,2018,2,8 +5.311,6.128,267864,45,610,880,65.59,17.4,22,14.7,0,54,0,10,21.1,33.5,0,2018,2,11 +4.067,5.761,248735,47,640,1700,68.82,17.6,23,11,0,59,0,10,13.3,24.1,0,2018,2,12 +4.188,5.629,229126,40,400,1000,64.477,23.8,29.4,17,0,33,0,10,19.8,57.6,77.8,2018,2,13 +4.381,5.039,314438,41,550,1000,65.114,16.8,24,9.7,0,40,0,0,23.5,51.9,68.3,2018,2,14 +5.264,5.003,300011,39,600,990,65.114,18.7,23.3,13,0,54,0,10,18.7,29.4,0,2018,2,15 +4.438,4.591,264966,48,340,910,64.256,19.7,26,17,0,72,0,10,19.4,27.8,0,2018,2,18 +5.71,4.729,272804,50,640,1200,68.82,18.3,26,11.7,0,68,0,10,23.7,44.6,59.4,2018,2,19 +5.895,4.658,319073,43,490,920,65.114,21.3,29,14,0,48,0,10,18.5,55.4,74.1,2018,2,20 +4.339,7.958,314252,39,350,1100,65,23.1,29,18.7,0,46,0,0,16.7,53.5,0,2018,2,21 +3.891,5.295,299886,41,330,1100,67.499,23.8,28,19.8,0,60,0,10,11.9,27.8,46.5,2018,2,22 +4.05,4.402,301713,50,350,910,63.949,15.4,19,10.7,0,66,0,10,26.1,38.9,57.6,2018,2,25 +4.961,4.474,310462,43,310,950,63.949,19.6,26,12.7,0,57,0,0,17,44.6,63,2018,2,26 +3.551,4.63,288529,38,340,780,62.6,25.2,31,19,0,33,0,0,28.3,55.4,68.3,2018,2,27 +5.497,4.406,279514,38,340,900,64.958,20.3,31,15,0,50,0,10,28.5,46.5,63,2018,2,28 +7.384,3.997,346468,38,340,800,61.24,17.2,21,14.6,0,73,0,10,17,29.4,0,2018,3,1 +6.032,14.551,318847,46,360,1000,63.792,16.6,21,13,0,55,0,10,19.8,29.4,0,2018,3,4 +6.625,12.652,294423,38,260,740,60,16.1,20,10.5,0,60,0,10,25.4,35.2,55.4,2018,3,5 +6.399,8.021,340930,45,370,980,63.792,18.3,26,11,0,56,0,0,14.1,29.4,0,2018,3,6 +0.143,6.693,253080,40,360,860,63.995,21.7,30,13.7,0,46,0,0,18.1,33.5,0,2018,3,7 +0.028,5.869,339219,38,380,940,64.801,21.6,31,12,0,46,0,0,14.3,27.8,0,2018,3,8 +2.331,4.522,332643,48,422.98,845.96,64.801,21.9,31,13,0,42,0,0,14.3,25.9,0,2018,3,9 +2.013,4.192,320902,43,340,860,63.949,16.6,20,13,0,64,0,10,21.1,33.5,0,2018,3,12 +2.056,4.181,297998,38,330,810,61.24,16.7,21.3,13,0,64,0,10,15.7,29.4,50,2018,3,13 +4.443,4.146,312583,39,360,800,61.591,16.9,22,13,0,65,0,10,11.7,22.2,0,2018,3,14 +7.102,4.751,284939,68,350,840,63.728,15.8,21,11,0,69,0,10,13.9,25.9,0,2018,3,15 +6.607,4.805,303374,49,360,890,63.949,16.8,22,11,0,34,0,10,26.7,53.5,75.9,2018,3,18 +6.809,5.435,280064,43,310,760,61.728,19.4,28,14.7,0,52,0,10,18.9,31.7,0,2018,3,19 +5.589,5.339,323207,52,540,1500,68.82,14.1,18,9,0,55,0,10,26.3,40.7,50,2018,3,20 +7.695,5.607,256047,45,400,1200,78,16.8,26,10,0,56,0,0,12.6,27.8,0,2018,3,21 +5.749,7.645,299212,47,510,1300,68.82,21.1,28,15,0,42,0,0,17.8,42.4,50,2018,3,22 +5.438,6.917,326326,38,600,960,65.114,16,25,9,0,50,0,9.3,32,44.6,63,2018,3,25 +5,5.122,386087,43,350,940,63.949,12.7,19,7.9,0,65,0,10,23.7,40.7,59.4,2018,3,26 +5.05,5.755,383882,40,340,960,63.949,19.1,23,15.6,0,38,0,0,30.4,53.5,70.6,2018,3,27 +4.303,5.38,385023,46,340,920,63.949,20.2,30,15,0,54,0,10,16.9,35.2,51.9,2018,3,28 +4.026,4.686,304303,41,422.98,845.96,63.792,16.9,24,11,0,64,0,10,14.3,27.8,0,2018,3,30 +4.742,4.535,316841,49,340,890,63,16.2,21,11,0,66,0,10,14.3,24.1,0,2018,4,2 +4.662,4.602,345170,51,330,930,63.792,15.8,20,12,0,66,0,10,10.4,18.3,0,2018,4,3 +3.057,4.841,361080,43,360,1100,67.434,16.2,23,12,0,72,0,10,10.6,22.2,0,2018,4,4 +4.95,4.885,373131,46,360,1000,63.728,15.6,20,12,0,73,0,10,9.8,22.2,0,2018,4,5 +4.661,4.14,343579,50,330,880,63.949,21.9,30.1,12.7,0,38,0,0,17.8,46.5,0,2018,4,8 +3.026,5.372,335682,38,370,1100,67.656,19.3,26,13,0,56,0,10,15,53.5,70.6,2018,4,9 +4.406,4.266,329495,39,422.98,845.96,63.949,22.7,28,17,0,44,0,10,22.8,38.9,50,2018,4,10 +4.034,4.125,224909,49,370,920,64.522,21.4,30,15.4,1010.5,53,0.25,11.6,16.7,35,51.9,2018,4,11 +5.863,4.225,302386,35,460,1100,67.544,17.6,28,10,0,54,0,10,16.7,27.8,0,2018,4,12 +4.848,8.777,269376,39,310,840,64.412,16.5,20,14.8,0,70,0,10,23.2,44.6,55.4,2018,4,15 +4.499,6.299,218684,41,300,980,63.995,14.8,22,11,0,62,0,10,24.3,40.7,59.4,2018,4,16 +3.961,5.247,168264,50,350,940,62.94,10.1,16,3.7,0,68,0,10,13.7,25.9,0,2018,4,17 +3.035,4.69,173441,34,710,1500,77,14.3,23.2,9,0,63,0,0,13.5,29.4,0,2018,4,18 +4.166,4.217,179307,43,410,990,63.838,14,24,7,0,60,0,9.8,11.3,22.2,0,2018,4,19 +3.032,3.982,180832,46,320,810,61.504,14.7,23,7.8,0,80,0,6,8.5,16.5,0,2018,4,22 +3.049,3.78,303770,43,360,880,63.949,21.6,28,14,0,35,0,0,28.2,46.5,72.2,2018,4,23 +4.402,3.494,302053,52,370,870,63.728,14.9,21,9,0,71,0,10,13,22.2,0,2018,4,25 +3.039,4.384,319048,39,460,940,63.838,12.8,18,8,0,71,0,10,13.1,27.8,0,2018,4,26 +3.398,4.035,263403,44,340,710,62.032,12.2,18,8,0,81,0,10,12,24.1,0,2018,4,29 +3.065,3.979,306663,40,340,820,60.766,12.6,20,6,0,57,0,10,13,24.1,0,2018,4,30 +3.709,3.74,319098,40,310,850,54,17.9,23,13,0,32,0,0,22.6,35.2,0,2018,5,1 +4.915,3.684,313327,40,350,670,61.885,15.1,23,14.6,0,40,0,0,27.4,48.2,59.4,2018,5,2 +3.73,4.255,288646,45,490,880,65.114,17.2,25,10,0,48,2.03,9.7,25.9,50,66.5,2018,5,3 +3.821,4.899,302958,50,350,1100,67.656,14.9,20.1,10,0,60,0,10,18.5,46.5,0,2018,5,6 +4.228,4.14,296588,46,350,1000,63.949,15.6,19,11,0,53,0,10,22,37,53.5,2018,5,7 +4.043,3.954,291266,50,490,1200,68.82,11.5,15,7,0,70,0,10,13.9,24.1,0,2018,5,8 +3.082,4.653,330347,39,500,1300,68.82,12.9,15,6.5,0,60,0,9.2,21.5,35.2,50,2018,5,9 +3.087,3.927,370243,43,340,950,61.118,5.5,12,6,0,77,0,5.5,24.5,46.2,64.5,2018,5,10 +4.354,3.758,236521,50,300,790,60.994,11.1,16,6,0,54,0,9,15,27.8,0,2018,5,13 +3.058,3.816,260440,18,350,850,62.94,11.3,15,5,0,79,0,10,10.7,18.3,0,2018,5,14 +4.155,4.301,269052,29,340,920,68,10.1,14,7,0,50,1.02,9.5,15.9,35.2,46.5,2018,5,15 +3.062,4.19,262713,41,360,900,64.32,10.7,13,9,0,67,0,10,14.3,20.6,0,2018,5,16 +3.074,3.741,268245,50,360,960,64.256,12.7,14,11,0,79,0,10,14.4,27.5,0,2018,5,17 +4.045,3.675,309405,40,340,770,61.533,13.5,16,10,0,77,0,9.7,21.5,31.7,0,2018,5,20 +3.028,3.745,293593,42,380,790,61.69,13.3,15,11.8,0,76,0,10,22,31.7,0,2018,5,21 +3.68,3.884,311403,36,350,1000,63.792,12.9,16,10,0,56,0,9.7,18.1,31.7,0,2018,5,22 +3.841,3.679,232384,35,340,930,64.301,12.7,14,11.7,0,74,0,10,16.3,27.5,0,2018,5,23 +2.961,3.966,342567,41,350,1100,67.434,12.4,15.1,10,0,73,0,10,12.2,25.9,0,2018,5,24 +2.972,3.864,296912,50,260,720,49,15.8,20,13.6,0,57,0,10,31.7,44.6,59.4,2018,5,27 +3.658,3.709,304357,48,310,810,61.757,15.9,21,12,0,54,0,10,34.5,46.5,64.5,2018,5,28 +2.953,3.639,270284,45,320,920,63.643,10.7,16,5,0,66,0,10,16.1,37,0,2018,5,29 +3.968,3.675,255398,40,370,970,63.532,11.1,15,5,0,66,0,10,22.5,29.4,50,2018,5,30 +2.963,3.609,271012,27,340,900,62.94,7.8,14,3,0,75,0,10,13.7,31.7,0,2018,5,31 +4.112,4.046,252658,38,320,400,58.089,9.1,13,5,0,87,0,9.8,10.9,14.8,0,2018,6,3 +3.688,3.925,259956,31,430,1100,66.849,10.8,14.1,8.8,0,85,0,9.7,10.4,16.5,0,2018,6,4 +3.513,4.175,276357,27,430,980,63.091,11.3,15,7,0,81,0,10,10,16.5,0,2018,6,5 +4.182,3.957,293012,34,390,1000,63.312,12.8,18,7,0,61,0,10,21.3,46.5,66.5,2018,6,6 +2.974,3.857,255255,35,430,1200,67.07,14.2,16,12,0,61,0,10,36.3,57.6,70.6,2018,6,7 +3.485,3.788,238215,38,422.98,845.96,63.775,11.4,13,9,0,86,0,10,19.1,37,48.2,2018,6,8 +3.539,3.677,227780,41,330,910,63.821,12.6,16,10,0,70,0,10,36.3,48.2,70.6,2018,6,11 +2.987,3.838,176208,34,330,930,63.821,11.3,15,7,0,73,0,10,21.7,38.9,51.9,2018,6,12 +3.053,4.057,328442,31,300,1100,66.954,9.6,13,7,0,77,0,10,22.6,35.2,51.9,2018,6,13 +4.417,3.852,360953,29,410,800,52,11,13,9,0,68,0,10,31.9,55.4,75.9,2018,6,14 +2.985,3.162,312384,23,240,560,53.295,9.3,12,8,0,93,0,8.7,26.1,44.6,63,2018,6,17 +3.522,4.009,337634,29,300,720,60.406,6.3,11,1.9,0,89,0,9.5,10.2,20.6,0,2018,6,18 +3.691,3.94,295037,42,340,790,60.7,7.4,13,3,0,76,0,10,13,29.4,0,2018,6,19 +3.555,3.663,334475,38,320,780,60.406,8,14,3,0,75,0,10,18.9,29.4,0,2018,6,20 +3.017,3.801,280133,33,320,970,62.257,8,15,3,0,71,0,10,13.9,22.2,0,2018,6,21 +3.674,3.864,267323,35,320,790,61.033,9.1,12,6,0,67,0,10,12.2,24.1,0,2018,6,24 +3.038,3.727,241117,30,340,1000,63.136,9.6,12,8,0,80,0,10,4.3,13,0,2018,6,25 +3.798,3.698,241714,45,450,790,56,7.8,14,3,0,86,0,7.4,8,14.8,0,2018,6,26 +3.889,3.726,274864,46,560,1000,63.643,6.8,13,2.5,0,88,0,4.2,7,13,0,2018,6,27 +3.048,4.255,258832,38,550,890,64.12,8.2,10,5,0,88,0,9.2,14.3,35.2,0,2018,6,28 +3.076,3.738,197054,36,340,870,62.83,7.1,14,2,0,74,0,10,15.4,24.1,0,2018,7,1 +4.54,4.004,196853,41,360,1100,67.115,9.1,14,6,0,67,0,10,29.1,57.6,77.8,2018,7,2 +1.743,3.106,222667,38,420,1000,62.987,10.8,14,5.4,0,68,0,10,38.7,53.5,74.1,2018,7,3 +5.076,4.353,219809,32,500,1100,68.183,12.9,16,9.1,0,62,0,10,49.1,63,81.7,2018,7,4 +2.989,3.657,225159,47,590,1200,68.183,14.4,18,9,0,57,0,10,30,53.5,81.7,2018,7,5 +3.725,3.851,259038,53,320,820,65,10.5,13,8,0,77,0,9.5,27,44.6,64.8,2018,7,8 +2.981,3.788,257045,54,290,930,62.303,9.6,13,6,0,73,0,10,15.4,27.8,0,2018,7,9 +3.863,3.785,263663,54,270,920,62.524,8.1,11,4.9,0,66,0,10,15.9,40.7,59.4,2018,7,10 +6.021,3.87,249311,52,350,960,62.987,6.7,10,2.7,0,76,0,10,14.6,38.9,0,2018,7,11 +5.055,3.977,261481,52,330,930,62.849,7.9,12,6,0,55,0,10,9.6,13,0,2018,7,12 +3.558,6.92,210059,53,320,850,63.052,8.5,12,6,0,60,0,10,40.2,53.5,75.9,2018,7,15 +5.485,4.721,239570,46,330,830,63.052,9,13,6,0,61,0,10,37.2,51.9,65.3,2018,7,16 +3.1,4.287,241046,49,330,850,62.524,9.1,16,5,0,66,0,9.5,35.7,63,90.7,2018,7,17 +6.215,5.224,243416,49,310,1000,63.006,10.2,14,6.7,0,57,0,10,33.2,51.9,72.2,2018,7,18 +5.844,4.032,267608,44,350,1100,67.07,9.3,17,5,0,66,0,10,20.7,40.7,57.6,2018,7,19 +3.622,6.751,227613,49,280,850,63.052,9,13,6,0,55,0,10,36.5,63,96.5,2018,7,22 +4.117,5.459,286788,47,320,940,63.84,9.3,13,7,0,65,0,10,41.1,66.5,96.5,2018,7,23 +3.513,4.107,362730,26,320,1000,63,10.1,16,6,0,74,0,10,27.5,53.5,72.2,2018,7,24 +3.391,4.077,309158,40,330,820,60.728,10.2,14,5,0,78,0,10,24.6,37,35.9,2018,7,26 +3.954,4.09,309731,35,290,770,60.563,9,14,6.5,0,69,0,10,25.7,50,72.2,2018,7,29 +3.019,3.896,289943,35,320,820,60.563,9.4,12,6,0,65,0,10,30.4,51.9,65.3,2018,7,30 +3.65,3.777,260510,35,330,1000,63.885,10.7,15,7,0,66,0,9.7,22.6,38.9,57.6,2018,7,31 +3.61,3.873,285437,36,340,890,62.942,9.2,15,4,0,70,0,10,15.4,35.2,55.4,2018,8,1 +3.385,3.691,297410,40,360,930,63.312,11.4,15,8,0,56,0,10,35.9,66.5,88.9,2018,8,2 +3.917,4.087,251865,42,330,820,62.512,12.3,16,7.6,0,50,0,10,34.8,51.9,74.1,2018,8,5 +4.433,3.827,331653,50,360,1100,67.019,8.5,13,5,0,65,0,10,23.5,35.2,59.4,2018,8,6 +3.654,3.921,325329,44,360,900,63.312,10.9,13,9,0,61,0,10,32.4,48.2,53.5,2018,8,7 +3.871,4.452,202616,40,422.98,845.96,62.83,8.7,16,3,0,74,0,10,20.7,31.7,61.1,2018,8,8 +3.617,4.151,263932,47,340,890,61,10.4,13,8.5,0,62,0,10,38.2,63,87,2018,8,9 +3.046,4.136,343442,37,310,790,61.396,11.3,14,9.9,0,63,0,10,22.2,35.2,50,2018,8,12 +4.157,4.079,351710,37,300,1000,63.248,10.8,15,6.9,0,71,0,10,22.2,35.2,50,2018,8,13 +4.318,3.989,344121,45,330,950,63.312,13.5,16,11,0,51,0,10,40.4,53.5,74.1,2018,8,14 +3.442,3.585,325419,40,360,1100,67.019,11.1,18,5,0,56,0,10,24.3,46.5,64.8,2018,8,15 +3.521,4.765,299944,37,430,990,62.322,9.3,14,6,0,61,0,10,19.1,29.4,0,2018,8,16 +3.602,3.946,272606,29,290,670,60.662,6.8,12,4,0,76,0,10,24.1,46.5,66.5,2018,8,19 +3.582,3.837,251888,29,280,760,60.406,8.9,11,6,0,73,0,9.8,20.6,31.7,0,2018,8,20 +4.401,3.962,252906,41,350,810,55,8.8,12,6,0,79,0,9.8,15,24.1,0,2018,8,21 +3.025,3.972,349091,41,380,970,62.257,9.1,13,4,0,69,0,10,14.1,24.1,0,2018,8,22 +3.041,3.952,343612,36,390,1100,66.862,9.7,16,2,0,64,0,10,13.1,20.6,0,2018,8,23 +4.204,3.889,288798,47,290,850,62.414,8.7,14,3,0,77,0,9.8,13.7,33.5,0,2018,8,26 +2.959,3.867,256927,41,340,940,60.897,6.2,12,0,0,71,0,10,14.6,31.7,50,2018,8,27 +3.719,3.864,308827,50,410,1100,64.864,4.7,11,-2,0,68,0,10,10.2,18.3,0,2018,8,28 +3.538,3.893,321713,48,350,1000,62.479,8.5,14,3,0,50,0,10,17.6,42.4,63,2018,8,29 +3.03,3.968,322896,38,330,990,63.312,11.1,14,7,0,41,0,10,29.4,51.9,70.6,2018,8,30 +3.023,3.837,283637,42,360,950,62.257,7.3,12,3,0,77,0,10,12.8,27.8,0,2018,9,2 +3.046,3.968,279421,43,360,1200,66.797,7.3,13,2,0,73,0,10,13,22.2,0,2018,9,3 +4.503,3.809,308352,40,370,1100,68,11.7,18,5,0,57,0,10,16.5,38.9,57.6,2018,9,4 +3.001,3.177,306308,39,350,990,63.312,14.4,18.3,9,0,54,0,10,28.3,46.5,59.4,2018,9,5 +3.018,4.566,312529,36,390,980,62.414,12.4,19,5.8,0,71,0,10,23.2,50,66.5,2018,9,6 +3.032,3.837,282721,45,370,860,63.84,13.9,18,10,0,66,0,10,18.5,40.7,55.4,2018,9,9 +3.034,3.433,266473,37,320,1100,67.005,13.7,18,10,0,71,0,10,16.5,55.4,61.1,2018,9,10 +4.068,3.334,286478,39,350,990,63.84,17.1,23.1,7.9,0,43,0,10,30.2,55.4,68.3,2018,9,11 +3.549,3.944,180103,36,300,890,62.895,11.5,18,6,0,50,0,0,17.8,27.8,0,2018,9,12 +3.037,3.906,329608,28,320,880,63.312,13.3,19,8,0,50,0,0,23.3,40.7,0,2018,9,13 +3.914,3.849,194980,36,360,740,61.033,8.7,14,3,0,60,0,13.7,19.1,29.4,0,2018,9,16 +3.011,3.996,286556,32,340,970,63.312,13.6,16,12,0,40,0,0,33.3,42.4,48.2,2018,9,17 +3.873,3.894,314730,37,380,1100,66.797,8.4,12,5,0,79,0,10,12.4,25.9,0,2018,9,18 +3.38,3.943,299107,35,422.98,845.96,62.414,8.4,15,3,0,68,3.3,11.6,15.7,42.4,59.4,2018,9,19 +3.514,3.916,289956,36,350,990,62,10.7,16.7,2.3,1022,61,0,15.8,12.8,18.3,0,2018,9,20 +3.549,3.79,309039,39,380,980,62.479,8.6,12,4,0,65,0,10,20.4,33.5,48.2,2018,9,23 +3,3.822,315225,48,340,920,63.091,9.7,11,9,0,77,0,10,18.9,22.2,0,2018,9,24 +3.568,3.859,296995,35,360,980,62.257,7.8,14,3,0,71,0,10,15.2,27.8,0,2018,9,25 +3.684,3.673,306442,41,360,910,63.312,12.9,19,7,0,45,0,0,18.3,55.4,75.9,2018,9,26 +4.49,3.972,270158,39,422.98,845.96,62.942,8.3,15,3,0,71,0.51,10,20.4,35.2,51.9,2018,9,28 +3.728,4.112,270662,44,300,790,60.671,9.6,16.4,3,0,66,0,10,12.4,25.9,0,2018,9,30 +1.516,4.315,262951,35,300,830,62.849,15.5,23,3.1,0,41,0,0,12.6,25.9,0,2018,10,1 +4.69,4.451,267439,44,410,1000,63,20.3,25.9,10.3,0,35,0,10,22.2,38.9,55.4,2018,10,2 +6.069,8.48,202227,41,310,1100,66.958,12.7,17,10,0,63,0,10,20.9,29.4,0,2018,10,3 +5.596,8.186,285451,40,260,900,62.257,10.9,15.2,5.8,0,70,0,10,17.2,29.4,0,2018,10,4 +4.194,5.859,294926,36,360,900,63.155,17.6,25,11,0,49,0,0,10.6,25.9,0,2018,10,7 +4.422,4.741,301067,35,340,845.96,63.155,19.7,27,14,0,47,0,10,8,24.1,0,2018,10,8 +4.321,4.909,283531,44,370,960,63.248,12.2,16,9,0,81,0,10,23.3,38.9,46.5,2018,10,9 +3.161,5.003,158404,46,340,920,63.052,9.9,16.1,3.6,0,63,0,10,25,42.4,57.6,2018,10,10 +6.998,4.442,245403,38,330,870,62.895,12.5,19.5,6,0,63,0,0,13.9,27.8,0,2018,10,11 +7.119,3.81,283352,43,320,780,70,21.4,27,10.2,0,43,0,10,29.6,46.5,57.6,2018,10,14 +6.041,7.749,261013,49,340,1200,67.07,23.4,27,18,0,40,0,10,34.6,48.2,66.5,2018,10,15 +5.093,9.105,323494,47,350,960,63.248,17.3,22.2,14.7,0,79,0,10,25,42.4,64.8,2018,10,16 +5.044,5.83,222837,45,340,850,63.885,17,21,13.8,0,67,2.29,10,19.8,33.5,53.5,2018,10,17 +3.88,5.686,303182,41,340,880,63.248,15.9,21.3,10,0,68,0.25,10,19.4,42.4,0,2018,10,18 +4.044,5.362,333262,45,340,820,60.856,13.7,21,6.4,0,60,0,10,16.3,46.5,64.8,2018,10,21 +3.031,4.915,322831,31,370,940,63.312,18.2,27,7.7,0,47,0,10,25,46.5,55.4,2018,10,22 +3.881,4.774,293890,43,350,1100,67.019,11.4,21.1,5,0,67,0,10.8,18.7,33.5,0,2018,10,23 +4.19,4.624,219686,42,310,1200,66.958,10.7,16.6,4.7,0,63,0,10,18.1,29.4,0,2018,10,24 +4.443,4.311,341987,42,350,1000,62.479,12.7,22.3,4.8,0,59,0,10,14.3,33.5,0,2018,10,25 +5.387,4.783,309304,50,330,810,61.6,12.1,17.2,8.3,0,54,0,10,18.9,27.8,0,2018,10,28 +4.055,4.848,304860,37,330,930,62.322,12.6,21,6,0,62,0,0,13.5,22.2,0,2018,10,29 +3.614,5.922,300185,40,350,1100,66,17.7,26.9,5.9,0,53,0,10,11.5,25.9,0,2018,10,30 +5.008,5.065,278652,25,422.98,845.96,63.619,15.3,21,11,0,77,0,10,12.2,20.6,0,2018,10,31 +4.125,4.136,234241,27,422.98,845.96,64.849,27.4,34,20,0,28,0,0,25.4,50,74.1,2018,11,1 +3.053,4.955,270214,39,422.98,845.96,63.683,17.7,24,14,0,55,0,0,12.4,27.8,0,2018,11,4 +4.118,4.384,240673,21,422.98,845.96,62.785,14.7,21,5,0,75,0,51.5,13,27.8,0,2018,11,6 +3.973,4.272,330795,35,422.98,845.96,62.479,10.3,16,6,0,62,0,0,21.5,45.2,57.6,2018,11,7 +3.798,4.744,300619,33,320,760,61.24,12,17.1,6.9,0,59,0,0,16.7,27.8,44.6,2018,11,8 +3.85,4.489,275148,35,340,830,63.155,24.4,29,20,0,25,0,0,22,31.7,45.2,2018,11,12 +4.109,4.388,316940,41,310,920,62.322,12.3,17.1,6,0,64,0,0,19.5,31.7,46.5,2018,11,15 +3.077,4.219,279823,39,350,910,60.388,0,0,0,0,0,0,0,0,0,0,2018,11,18 +6.624,4.734,282413,31,320,1100,64.928,0,0,0,0,0,0,0,0,0,0,2018,11,19 +7.579,4.738,305587,34,310,1000,60.388,0,0,0,0,0,0,0,0,0,0,2018,11,20 +6.239,10.888,315000,28,280,680,59.603,12.5,14,11,0,67,0,0,28.9,42.4,57.6,2018,11,22 +4.389,6.805,303537,30,330,720,61.24,14.4,19,11,0,78,0,0,16.3,31.7,0,2018,11,25 +3.385,5.644,291143,35,340,930,63,15.5,19,13,0,71,0,0,15,25.9,0,2018,11,26 +3.431,5.341,296543,31,300,900,63.248,16.6,20.1,14,0,75,0,0,22,35.2,0,2018,11,27 +4.827,4.518,335973,43,340,960,63.312,15.6,20.3,13,0,50,0,51.3,25,35.9,45.2,2018,11,28 +3.963,5.076,349363,44,340,940,63.091,15.9,20,14,0,74,0,0,17.6,25.9,0,2018,11,29 +5.489,4.907,291902,25,290,1200,67.019,14.7,19,11,0,52,0,10,24.4,38.9,57.6,2018,12,2 +4.559,4.637,313630,46,320,820,61.69,16.4,23,12,0,64,0,10,25.6,40.7,61.1,2018,12,3 +4.57,5.068,324791,45,330,920,63.091,16.1,20,12,0,68,0,10,15.6,24.1,35.2,2018,12,4 +5.056,5.941,292929,38,330,870,63.312,19.1,28,12.6,0,63,0,0,15.7,42.4,0,2018,12,5 +5.095,9.77,277937,27,360,870,64.321,29.4,35,25,0,29,0,0,30.4,51.9,70.6,2018,12,6 +3.846,6.157,292278,56,330,920,63.136,16.8,21,14,0,79,0,10,11.9,27.8,0,2018,12,9 +5.372,5.004,292526,47,390,930,69,16.3,21,11.5,0,68,0,10,15.9,29.4,0,2018,12,10 +6.027,4.592,371224,40,350,1100,67.019,19.2,28,13,0,66,0,10,16.9,42.4,59.4,2018,12,11 +6.028,6.037,326261,34,320,990,64.321,24.6,33,15.6,0,51,0,9.2,20.9,40.7,57.6,2018,12,12 +6.037,6.426,306734,23,300,740,59.603,16.6,20,14,0,87,0,8.9,17.4,38.9,0,2018,12,13 +3.539,6.058,327745,32,230,640,60.839,17.8,23,14,0,77,0,10,15,38.9,48.2,2018,12,16 +3.003,5.995,305813,30,290,750,61.24,17.6,22,15,0,76,0,10,16.7,25.9,0,2018,12,17 +3.021,5.159,259978,35,330,970,63.136,17.9,22,16,0,77,0,10,15,24.1,0,2018,12,18 +3.024,4.703,332033,32,330,890,63.091,20.1,26,14.8,0,73,0,9.5,8.5,18.3,0,2018,12,19 +3.028,4.441,325807,32,360,850,63.248,15.9,20.3,12.7,0,81,0,9.2,21.7,33.5,50,2018,12,20 +3.027,4.433,243707,68,330,930,64.366,18.5,22,16,0,55,0,10,18.7,27.8,46.5,2019,1,6 +3.023,4.599,274646,34,320,970,63.792,19.2,24,15.9,0,66,0,10,15,27.8,31.7,2019,1,7 +3.03,4.496,263962,32,310,810,62.023,19,26,14,0,65,0,10,19.4,33.5,0,2019,1,8 +5.063,4.447,253436,33,340,810,60,15.4,20,9,0,56,0,10,16.7,31.7,0,2019,1,9 +5.485,4.487,254959,35,350,850,64.32,16.8,22,11,0,59,0,10,14.8,25.9,0,2019,1,10 +5.345,4.463,252191,39,280,720,61.632,22.1,29,16.9,0,59,0,0,18.5,31.7,0,2019,1,13 +7.635,17.36,248053,35,300,810,63.07,25.6,38,16,0,55,0,0,14.1,31.7,0,2019,1,14 +6.765,11.692,275338,29,330,860,64.801,25.8,37,16.9,0,47,0,10,11.7,27.8,0,2019,1,15 +7.308,6.829,313894,34,360,880,63.792,23.6,30,19.9,0,59,0,10,10.6,29.4,33.5,2019,1,16 +7.036,5.639,282407,36,350,880,65.004,27.8,37,21,0,44,0,10,16.3,46.5,63,2019,1,17 +5.47,5.351,240626,34,300,710,61.866,20.1,24,17.8,0,73,0,10,17.2,25.9,0,2019,1,20 +7.561,5.075,276750,35,320,760,58,21.9,29,18,0,70,0,10,12.4,27.8,0,2019,1,21 +6.881,5.357,302437,39,370,1000,63.792,22.7,30.2,16,0,66,0,10,15.7,24.1,0,2019,1,22 +6.111,6.44,276811,37,370,870,63.728,20.6,26,16,0,68,0,10,16.7,29.4,0,2019,1,23 +7.105,5.954,300545,41,422.98,845.96,63.949,26.2,0,17,0,48,0,10,23,48.2,68.3,2019,1,25 +7.592,5.973,244382,49,260,680,63.393,23.2,35,15,0,47,0,10,16.9,38.9,53.5,2019,1,28 +6.854,8.016,252484,45,310,870,65.004,23.8,38,15,0,47,0,10,17.8,40.7,57.6,2019,1,29 +4.037,10.761,270466,36,320,880,64.958,25.4,39,16,0,47,0,10,25.9,53.5,74.1,2019,1,30 +6.517,7.265,266159,41,320,870,64.477,16.3,21,11,0,48,0,10,26.9,40.7,55.4,2019,1,31 +5.701,5.969,278044,44,330,800,62.993,24.9,41,17,0,50,0,10,21.1,33.5,48.2,2019,2,3 +5.941,5.4,267477,39,280,800,65,18.7,22,17,0,70,0,10,24.6,31.7,0,2019,2,4 +5.328,5.127,289915,36,360,940,63.728,20.1,26,16,0,76,0,89,12.6,20.6,0,2019,2,5 +5.274,5.291,280760,31,360,920,64.958,25.4,35,20,0,60,0,9.7,16.9,57.6,64.8,2019,2,6 +5.241,4.958,298288,36,350,840,63.728,22.4,30,16.8,0,72,0,9.7,15.6,24.1,0,2019,2,7 +4.972,5.928,260472,44,300,780,61.533,17.7,24,12,0,61,0,10,12.6,25.9,0,2019,2,10 +4.993,4.728,270153,41,350,930,63.995,22.3,28,15,0,47,0,10,21.7,37,61.1,2019,2,11 +5.437,5.603,298785,32,370,880,63.949,12.9,19,9.9,0,54,0,97,25.6,42.4,63,2019,2,12 +6.331,5.689,217367,36,310,1300,67.595,14.1,21,9,0,53,0,10,17.8,29.4,51.9,2019,2,13 +4.996,5.652,312401,32,360,900,63.792,18.6,24,15.7,0,58,0,10,13.9,25.9,0,2019,2,14 +4.892,5.615,290821,37,350,980,63.792,24.7,30,19.6,0,37,0,0,16.4,27.8,0,2019,2,17 +4.077,5.59,274770,40,360,940,63.949,17.1,26,11,0,62,0,10,18.1,37,0,2019,2,18 +4.525,5.25,270973,37,370,930,63.838,15,20.3,9,0,61,0,10,16.9,27.8,0,2019,2,19 +4.528,4.638,280038,38,380,940,70,16.4,23,11,0,63,0,10,16.1,27.8,37,2019,2,20 +4.347826086956525E-06,5.153,290940,42,530,1100,68.82,17.3,20.1,15,0,59,0,10,19.6,29.4,0,2019,2,21 +4.347826086956525E-06,5.19,228087,41,370,830,65.531,25.7,33,19,0,26,0,0,22,51.9,70.6,2019,2,24 +4.347826086956525E-06,4.435,216494,34,330,970,65.531,26.2,35,17,0,24,0,10,19.4,50,66.5,2019,2,25 +4.347826086956525E-06,4.582,279558,37,290,900,64.256,17.7,24,12,0,70,0,10,14.3,27.8,0,2019,2,26 +4.347826086956525E-06,4.419,291837,35,520,1100,68.82,23.8,31,18,0,43,0,0,16.7,53.5,72.2,2019,2,27 +4.347826086956525E-06,5.291,286661,49,440,930,64.958,30.9,38,26,0,24,0,0,30,51.9,68.3,2019,2,28 +5.133,4.781,283081,46,350,870,65.486,25.4,38,16,0,42,0,10,17.8,40.7,0,2019,3,3 +5.951,4.42,300576,50,360,840,70,20.9,29,16,0,59,0,0,11.9,24.1,0,2019,3,4 +5.956,5.531,275199,38,330,820,61.396,18.4,26,11,0,69,0,10,18,38.9,53.5,2019,3,5 +5.976,7.13,203334,22,370,790,60.424,12.2,17,7,0,52,0,10,19.8,61.1,72.2,2019,3,6 +5.974,6.117,231426,31,390,920,64.366,17.3,24,11,0,32,0,0,15,29.4,0,2019,3,7 +1.146,6.176,218284,35,422.98,845.96,64.366,19.4,26.1,12,0,34,0,0,16.3,31.7,0,2019,3,8 +4.347826086956525E-06,5.434,242929,49,350,1000,64.522,17.8,24,13,0,67,0,10,14.8,42.4,61.1,2019,3,11 +4.347826086956525E-06,5.571,266625,25,390,980,63.995,13.2,19,8,0,55,0,10,19.1,38.9,55.4,2019,3,12 +4.347826086956525E-06,5.264,351227,27,350,850,63.792,14.3,18,9.7,1017.5,59,0,11.3,14.4,25.9,0,2019,3,13 +4.347826086956525E-06,4.968,326009,31,290,780,61.24,15.9,22,11,0,62,0,10,14.1,25.9,0,2019,3,14 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+4.072,5.194,318268,31,270,910,63.312,12.4,16,10,0,63,0,10,28,44.6,66.5,2019,6,27 diff --git a/IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Kanishk_Dhariwal_230525.ipynb b/IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Kanishk_Dhariwal_230525.ipynb new file mode 100644 index 00000000..b1f940dd --- /dev/null +++ b/IITK/Assignments/Assignment 3/kanishkDhariwal_230525/Kanishk_Dhariwal_230525.ipynb @@ -0,0 +1,2452 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "fb22f3fc-934d-490c-8a82-95b2b2fbaa0d", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import scipy as sp\n", + "import statsmodels.api as sm\n", + "import statsmodels.tsa.api as smt\n", + "data = pd.read_csv('Data-Melbourne_F.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "0b1ea96f-2888-4c99-95fe-3884d6f774e2", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split , GridSearchCV\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.svm import SVC\n", + "from sklearn.metrics import mean_squared_error\n", + "from sklearn.metrics import r2_score , f1_score,confusion_matrix, classification_report\n", + "from sklearn.preprocessing import StandardScaler\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "82ec3f0e-4bed-4e76-8b1b-d4a055938bd7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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avg_outflowavg_inflowtotal_gridAmBODCODTNTTMTmSLPHPPVVVVMVGyearmonthday
02.9412.58917585627.0365.0730.060.37819.325.112.60.0561.5210.026.953.579.5201411
12.9362.96118162425.0370.0740.060.02617.123.612.30.0630.0010.014.427.80.0201412
22.9283.22520201642.0418.0836.064.52216.827.28.80.0470.2510.031.961.177.8201415
32.9283.35420754736.0430.0850.063.00014.619.911.10.0490.0010.027.038.953.5201416
42.9173.79420282446.0508.01016.065.59013.419.18.00.0650.0010.020.635.253.5201417
52.9123.75024769140.0410.0820.061.78618.927.37.70.0520.000.015.631.70.0201418
62.3553.50722470651.0555.01110.068.82025.932.412.10.0390.000.026.746.559.4201419
72.3663.18821244041.0365.0730.062.21817.724.613.00.0690.009.813.125.90.02014112
83.9233.37820267626.0355.0710.061.43326.436.012.70.0440.000.019.851.964.82014113
93.9123.42520241142.0530.0830.066.35435.543.528.50.0200.000.027.857.672.22014114
102.9713.77517112347.0435.0870.065.53132.142.923.70.0290.000.018.035.20.02014115
113.8333.76319350943.0295.0590.059.54833.943.123.70.0240.000.019.346.50.02014116
122.9843.48720576138.0600.01200.068.82019.223.115.20.0640.0010.024.831.70.02014119
133.2363.60418410838.0465.0930.064.56818.424.715.80.0660.0010.025.635.20.02014120
142.9503.60020004438.0505.51011.065.59017.622.614.00.0610.0010.025.037.046.52014121
152.9353.48117382547.0470.0980.076.00016.323.410.00.0590.000.017.429.40.02014122
162.9373.62323063239.0431.0862.064.84723.633.710.20.0521.528.514.827.846.52014123
173.3083.78523647245.0380.0760.062.09016.322.812.80.0724.3210.021.931.70.02014124
182.9333.59621405736.0345.0690.063.22729.335.516.70.0260.000.032.648.266.52014127
192.9403.64220406229.0286.5573.054.63027.242.117.60.0340.0010.025.751.970.62014128
203.4273.51924552431.0360.0720.061.49617.723.713.00.0640.0010.020.233.546.52014129
212.9803.54123011338.0380.0840.065.37422.631.112.90.0550.008.013.322.20.02014130
222.9973.52621463543.0344.0688.063.52131.740.523.00.0230.000.015.633.546.5201422
232.9783.54221001744.0390.5781.062.56919.20.013.80.0560.5110.029.638.957.6201423
242.9833.33220139335.0391.5783.062.21817.725.010.80.0540.0010.025.744.659.4201424
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avg_outflowavg_inflowtotal_gridAmBODCODTNTTMTmSLPHPPVVVVMVGyearmonthday
count1382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.0000001382.000000
mean3.9306084.506338275159.08900139.222302382.061708845.96043462.74075215.03668620.53089710.0373373.67503663.5586110.2180909.10159219.48270635.38125929.1840092016.2583216.18451515.584660
std1.2287781.43958344640.5336897.76159885.996012145.4165403.5710355.3984917.0967604.65688761.01041614.5342051.30692316.3229057.13686811.62636231.3663151.5834913.4105888.741422
min0.0000042.589000116638.00000013.000000140.000000360.00000040.0000000.0000000.000000-2.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000002014.0000001.0000001.000000
25%3.0745003.643250246435.75000034.000000330.000000751.25000061.39600010.80000015.0000006.8000000.00000055.0000000.0000008.40000014.40000027.8000000.0000002015.0000003.0000008.000000
50%3.7010004.161500275808.00000039.000000360.000000845.00000062.95750014.30000019.2000009.6000000.00000066.0000000.00000010.00000018.10000033.5000000.0000002016.0000006.00000015.000000
75%4.4987504.847750305703.75000044.000000422.980000920.00000064.36600018.57500025.20000013.0000000.00000074.0000000.00000010.00000023.30000042.40000057.6000002018.0000009.00000023.000000
max7.92000018.968000398328.00000093.000000850.0000001700.00000092.00000035.50000043.50000028.5000001022.00000097.00000018.030000512.00000049.10000083.500000107.6000002019.00000012.00000031.000000
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" + ], + "text/plain": [ + " avg_outflow avg_inflow total_grid Am BOD \\\n", + "count 1382.000000 1382.000000 1382.000000 1382.000000 1382.000000 \n", + "mean 3.930608 4.506338 275159.089001 39.222302 382.061708 \n", + "std 1.228778 1.439583 44640.533689 7.761598 85.996012 \n", + "min 0.000004 2.589000 116638.000000 13.000000 140.000000 \n", + "25% 3.074500 3.643250 246435.750000 34.000000 330.000000 \n", + "50% 3.701000 4.161500 275808.000000 39.000000 360.000000 \n", + "75% 4.498750 4.847750 305703.750000 44.000000 422.980000 \n", + "max 7.920000 18.968000 398328.000000 93.000000 850.000000 \n", + "\n", + " COD TN T TM Tm \\\n", + "count 1382.000000 1382.000000 1382.000000 1382.000000 1382.000000 \n", + "mean 845.960434 62.740752 15.036686 20.530897 10.037337 \n", + "std 145.416540 3.571035 5.398491 7.096760 4.656887 \n", + "min 360.000000 40.000000 0.000000 0.000000 -2.000000 \n", + "25% 751.250000 61.396000 10.800000 15.000000 6.800000 \n", + "50% 845.000000 62.957500 14.300000 19.200000 9.600000 \n", + "75% 920.000000 64.366000 18.575000 25.200000 13.000000 \n", + "max 1700.000000 92.000000 35.500000 43.500000 28.500000 \n", + "\n", + " SLP H PP VV V \\\n", + "count 1382.000000 1382.000000 1382.000000 1382.000000 1382.000000 \n", + "mean 3.675036 63.558611 0.218090 9.101592 19.482706 \n", + "std 61.010416 14.534205 1.306923 16.322905 7.136868 \n", + "min 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "25% 0.000000 55.000000 0.000000 8.400000 14.400000 \n", + "50% 0.000000 66.000000 0.000000 10.000000 18.100000 \n", + "75% 0.000000 74.000000 0.000000 10.000000 23.300000 \n", + "max 1022.000000 97.000000 18.030000 512.000000 49.100000 \n", + "\n", + " VM VG year month day \n", + "count 1382.000000 1382.000000 1382.000000 1382.000000 1382.000000 \n", + "mean 35.381259 29.184009 2016.258321 6.184515 15.584660 \n", + "std 11.626362 31.366315 1.583491 3.410588 8.741422 \n", + "min 0.000000 0.000000 2014.000000 1.000000 1.000000 \n", + "25% 27.800000 0.000000 2015.000000 3.000000 8.000000 \n", + "50% 33.500000 0.000000 2016.000000 6.000000 15.000000 \n", + "75% 42.400000 57.600000 2018.000000 9.000000 23.000000 \n", + "max 83.500000 107.600000 2019.000000 12.000000 31.000000 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "eeee7982-8b51-4a8c-adf5-2fecba5f316d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "target\n", + "1 1113\n", + "0 269\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "data['target'] = (data['avg_inflow'] > data['avg_outflow']).astype(int)\n", + "print(data['target'].value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "19c0221f-66ff-4631-bcf4-2b3a48640d0c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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avg_outflowavg_inflowtotal_gridAmBODCODTNTTMTm...HPPVVVVMVGyearmonthdaytarget
02.9412.58917585627.0365.0730.060.37819.325.112.6...561.5210.026.953.579.52014110
12.9362.96118162425.0370.0740.060.02617.123.612.3...630.0010.014.427.80.02014121
22.9283.22520201642.0418.0836.064.52216.827.28.8...470.2510.031.961.177.82014151
32.9283.35420754736.0430.0850.063.00014.619.911.1...490.0010.027.038.953.52014161
42.9173.79420282446.0508.01016.065.59013.419.18.0...650.0010.020.635.253.52014171
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avg_outflowavg_inflowtotal_gridAmBODCODTNTTMTm...HPPVVVVMVGyearmonthdaytarget
avg_outflow1.0000000.5419230.1670990.040590-0.115811-0.022723-0.061951-0.0001630.0060700.035516...-0.016560-0.090001-0.027635-0.015406-0.0063190.0003310.308915-0.012221-0.061292-0.502091
avg_inflow0.5419231.0000000.136211-0.032709-0.1213640.018026-0.0358270.0981490.0930730.140905...-0.040534-0.100358-0.031872-0.025010-0.012203-0.0337960.388505-0.066273-0.055009-0.008056
total_grid0.1670990.1362111.000000-0.133076-0.1369450.000346-0.167448-0.266053-0.245119-0.222896...0.155245-0.0142420.0070850.0206560.0173880.0635360.1798760.2720760.023010-0.088369
Am0.040590-0.032709-0.1330761.0000000.1647530.2845520.3429950.1100000.0992790.094802...-0.076970-0.074313-0.028647-0.047966-0.048622-0.0597800.140567-0.112396-0.029223-0.095445
BOD-0.115811-0.121364-0.1369450.1647531.0000000.5241890.4558430.1507060.1373680.133025...-0.0872400.001186-0.0190390.0013840.000370-0.018185-0.228753-0.065866-0.0007130.068697
COD-0.0227230.0180260.0003460.2845520.5241891.0000000.6812250.0839460.0900180.052716...-0.152655-0.055335-0.050351-0.029496-0.0065800.0009650.231927-0.0343680.005837-0.033532
TN-0.061951-0.035827-0.1674480.3429950.4558430.6812251.0000000.2697510.2593860.232274...-0.210108-0.012618-0.053080-0.0292280.006540-0.0138270.120105-0.142140-0.007392-0.001403
T-0.0001630.098149-0.2660530.1100000.1507060.0839460.2697511.0000000.9249440.890901...-0.553688-0.004256-0.1222470.0986200.2197910.1257630.015400-0.272413-0.0095420.010555
TM0.0060700.093073-0.2451190.0992790.1373680.0900180.2593860.9249441.0000000.759461...-0.533249-0.003110-0.1209050.0353490.1993700.101250-0.004957-0.2233530.0064590.006727
Tm0.0355160.140905-0.2228960.0948020.1330250.0527160.2322740.8909010.7594611.000000...-0.3860780.030974-0.0900340.1237550.1815620.1000010.100206-0.285621-0.0242750.015603
SLP-0.068941-0.012452-0.004160-0.032908-0.0112700.0025850.0065950.0134990.0189420.004990...-0.023819-0.0077650.016333-0.034550-0.041714-0.0141580.028288-0.003143-0.0136190.029624
H-0.016560-0.0405340.155245-0.076970-0.087240-0.152655-0.210108-0.553688-0.533249-0.386078...1.0000000.1290480.107531-0.254965-0.315783-0.305299-0.0874170.066605-0.0214430.054877
PP-0.090001-0.100358-0.014242-0.0743130.001186-0.055335-0.012618-0.004256-0.0031100.030974...0.1290481.0000000.136877-0.0052070.0342940.041895-0.203692-0.014733-0.0193490.057923
VV-0.027635-0.0318720.007085-0.028647-0.019039-0.050351-0.053080-0.122247-0.120905-0.090034...0.1075310.1368771.000000-0.002028-0.0310850.013725-0.0412040.0085140.0124650.022975
V-0.015406-0.0250100.020656-0.0479660.001384-0.029496-0.0292280.0986200.0353490.123755...-0.254965-0.005207-0.0020281.0000000.8237970.719644-0.0308210.0438470.0256720.015972
VM-0.006319-0.0122030.017388-0.0486220.000370-0.0065800.0065400.2197910.1993700.181562...-0.3157830.034294-0.0310850.8237971.0000000.808928-0.0119490.0634250.052235-0.004535
VG0.000331-0.0337960.063536-0.059780-0.0181850.000965-0.0138270.1257630.1012500.100001...-0.3052990.0418950.0137250.7196440.8089281.0000000.0142020.0907730.033436-0.020849
year0.3089150.3885050.1798760.140567-0.2287530.2319270.1201050.015400-0.0049570.100206...-0.087417-0.203692-0.041204-0.030821-0.0119490.0142021.000000-0.1297720.002944-0.263831
month-0.012221-0.0662730.272076-0.112396-0.065866-0.034368-0.142140-0.272413-0.223353-0.285621...0.066605-0.0147330.0085140.0438470.0634250.090773-0.1297721.000000-0.0026740.071635
day-0.061292-0.0550090.023010-0.029223-0.0007130.005837-0.007392-0.0095420.006459-0.024275...-0.021443-0.0193490.0124650.0256720.0522350.0334360.002944-0.0026741.0000000.055481
target-0.502091-0.008056-0.088369-0.0954450.068697-0.033532-0.0014030.0105550.0067270.015603...0.0548770.0579230.0229750.015972-0.004535-0.020849-0.2638310.0716350.0554811.000000
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21 rows × 21 columns

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" + ], + "text/plain": [ + " avg_outflow avg_inflow total_grid Am BOD \\\n", + "avg_outflow 1.000000 0.541923 0.167099 0.040590 -0.115811 \n", + "avg_inflow 0.541923 1.000000 0.136211 -0.032709 -0.121364 \n", + "total_grid 0.167099 0.136211 1.000000 -0.133076 -0.136945 \n", + "Am 0.040590 -0.032709 -0.133076 1.000000 0.164753 \n", + "BOD -0.115811 -0.121364 -0.136945 0.164753 1.000000 \n", + "COD -0.022723 0.018026 0.000346 0.284552 0.524189 \n", + "TN -0.061951 -0.035827 -0.167448 0.342995 0.455843 \n", + "T -0.000163 0.098149 -0.266053 0.110000 0.150706 \n", + "TM 0.006070 0.093073 -0.245119 0.099279 0.137368 \n", + "Tm 0.035516 0.140905 -0.222896 0.094802 0.133025 \n", + "SLP -0.068941 -0.012452 -0.004160 -0.032908 -0.011270 \n", + "H -0.016560 -0.040534 0.155245 -0.076970 -0.087240 \n", + "PP -0.090001 -0.100358 -0.014242 -0.074313 0.001186 \n", + "VV -0.027635 -0.031872 0.007085 -0.028647 -0.019039 \n", + "V -0.015406 -0.025010 0.020656 -0.047966 0.001384 \n", + "VM -0.006319 -0.012203 0.017388 -0.048622 0.000370 \n", + "VG 0.000331 -0.033796 0.063536 -0.059780 -0.018185 \n", + "year 0.308915 0.388505 0.179876 0.140567 -0.228753 \n", + "month -0.012221 -0.066273 0.272076 -0.112396 -0.065866 \n", + "day -0.061292 -0.055009 0.023010 -0.029223 -0.000713 \n", + "target -0.502091 -0.008056 -0.088369 -0.095445 0.068697 \n", + "\n", + " COD TN T TM Tm ... H \\\n", + "avg_outflow -0.022723 -0.061951 -0.000163 0.006070 0.035516 ... -0.016560 \n", + "avg_inflow 0.018026 -0.035827 0.098149 0.093073 0.140905 ... -0.040534 \n", + "total_grid 0.000346 -0.167448 -0.266053 -0.245119 -0.222896 ... 0.155245 \n", + "Am 0.284552 0.342995 0.110000 0.099279 0.094802 ... -0.076970 \n", + "BOD 0.524189 0.455843 0.150706 0.137368 0.133025 ... -0.087240 \n", + "COD 1.000000 0.681225 0.083946 0.090018 0.052716 ... -0.152655 \n", + "TN 0.681225 1.000000 0.269751 0.259386 0.232274 ... -0.210108 \n", + "T 0.083946 0.269751 1.000000 0.924944 0.890901 ... -0.553688 \n", + "TM 0.090018 0.259386 0.924944 1.000000 0.759461 ... -0.533249 \n", + "Tm 0.052716 0.232274 0.890901 0.759461 1.000000 ... -0.386078 \n", + "SLP 0.002585 0.006595 0.013499 0.018942 0.004990 ... -0.023819 \n", + "H -0.152655 -0.210108 -0.553688 -0.533249 -0.386078 ... 1.000000 \n", + "PP -0.055335 -0.012618 -0.004256 -0.003110 0.030974 ... 0.129048 \n", + "VV -0.050351 -0.053080 -0.122247 -0.120905 -0.090034 ... 0.107531 \n", + "V -0.029496 -0.029228 0.098620 0.035349 0.123755 ... -0.254965 \n", + "VM -0.006580 0.006540 0.219791 0.199370 0.181562 ... -0.315783 \n", + "VG 0.000965 -0.013827 0.125763 0.101250 0.100001 ... -0.305299 \n", + "year 0.231927 0.120105 0.015400 -0.004957 0.100206 ... -0.087417 \n", + "month -0.034368 -0.142140 -0.272413 -0.223353 -0.285621 ... 0.066605 \n", + "day 0.005837 -0.007392 -0.009542 0.006459 -0.024275 ... -0.021443 \n", + "target -0.033532 -0.001403 0.010555 0.006727 0.015603 ... 0.054877 \n", + "\n", + " PP VV V VM VG year \\\n", + "avg_outflow -0.090001 -0.027635 -0.015406 -0.006319 0.000331 0.308915 \n", + "avg_inflow -0.100358 -0.031872 -0.025010 -0.012203 -0.033796 0.388505 \n", + "total_grid -0.014242 0.007085 0.020656 0.017388 0.063536 0.179876 \n", + "Am -0.074313 -0.028647 -0.047966 -0.048622 -0.059780 0.140567 \n", + "BOD 0.001186 -0.019039 0.001384 0.000370 -0.018185 -0.228753 \n", + "COD -0.055335 -0.050351 -0.029496 -0.006580 0.000965 0.231927 \n", + "TN -0.012618 -0.053080 -0.029228 0.006540 -0.013827 0.120105 \n", + "T -0.004256 -0.122247 0.098620 0.219791 0.125763 0.015400 \n", + "TM -0.003110 -0.120905 0.035349 0.199370 0.101250 -0.004957 \n", + "Tm 0.030974 -0.090034 0.123755 0.181562 0.100001 0.100206 \n", + "SLP -0.007765 0.016333 -0.034550 -0.041714 -0.014158 0.028288 \n", + "H 0.129048 0.107531 -0.254965 -0.315783 -0.305299 -0.087417 \n", + "PP 1.000000 0.136877 -0.005207 0.034294 0.041895 -0.203692 \n", + "VV 0.136877 1.000000 -0.002028 -0.031085 0.013725 -0.041204 \n", + "V -0.005207 -0.002028 1.000000 0.823797 0.719644 -0.030821 \n", + "VM 0.034294 -0.031085 0.823797 1.000000 0.808928 -0.011949 \n", + "VG 0.041895 0.013725 0.719644 0.808928 1.000000 0.014202 \n", + "year -0.203692 -0.041204 -0.030821 -0.011949 0.014202 1.000000 \n", + "month -0.014733 0.008514 0.043847 0.063425 0.090773 -0.129772 \n", + "day -0.019349 0.012465 0.025672 0.052235 0.033436 0.002944 \n", + "target 0.057923 0.022975 0.015972 -0.004535 -0.020849 -0.263831 \n", + "\n", + " month day target \n", + "avg_outflow -0.012221 -0.061292 -0.502091 \n", + "avg_inflow -0.066273 -0.055009 -0.008056 \n", + "total_grid 0.272076 0.023010 -0.088369 \n", + "Am -0.112396 -0.029223 -0.095445 \n", + "BOD -0.065866 -0.000713 0.068697 \n", + "COD -0.034368 0.005837 -0.033532 \n", + "TN -0.142140 -0.007392 -0.001403 \n", + "T -0.272413 -0.009542 0.010555 \n", + "TM -0.223353 0.006459 0.006727 \n", + "Tm -0.285621 -0.024275 0.015603 \n", + "SLP -0.003143 -0.013619 0.029624 \n", + "H 0.066605 -0.021443 0.054877 \n", + "PP -0.014733 -0.019349 0.057923 \n", + "VV 0.008514 0.012465 0.022975 \n", + "V 0.043847 0.025672 0.015972 \n", + "VM 0.063425 0.052235 -0.004535 \n", + "VG 0.090773 0.033436 -0.020849 \n", + "year -0.129772 0.002944 -0.263831 \n", + "month 1.000000 -0.002674 0.071635 \n", + "day -0.002674 1.000000 0.055481 \n", + "target 0.071635 0.055481 1.000000 \n", + "\n", + "[21 rows x 21 columns]" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.corr()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "6dffec3c-a980-467b-a3ae-8706e0dff329", + "metadata": {}, + "outputs": [], + "source": [ + "x = data.drop(['avg_inflow', 'avg_outflow', 'target'], axis=1)\n", + "y = data['target']" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "841558f1-2b12-46ec-bb0f-3dd7d7a0e50a", + "metadata": {}, + "outputs": [], + "source": [ + "xtrain, xtest, ytrain, ytest = train_test_split(x, y, test_size = 0.25, random_state =0)\n", + "sc_x = StandardScaler()\n", + "xtrain = sc_x.fit_transform(xtrain) \n", + "xtest = sc_x.transform(xtest)" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "f9a2cbcf-6a45-4352-9349-6a460380fbf0", + "metadata": {}, + "outputs": [], + "source": [ + "logreg = LogisticRegression()\n", + "svc_classifier = SVC()\n", + "dt_classifier = DecisionTreeClassifier()\n", + "knn_classifier = KNeighborsClassifier(5)\n", + "rf_classifier = RandomForestClassifier(n_estimators=1000, criterion = 'entropy', random_state = 0 )" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "667daa99-10e7-41ea-aed1-407dc972532f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestClassifier(criterion='entropy', n_estimators=1000, random_state=0)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestClassifier(criterion='entropy', n_estimators=1000, random_state=0)" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "logreg.fit(xtrain, ytrain)\n", + "svc_classifier.fit(xtrain, ytrain)\n", + "dt_classifier.fit(xtrain, ytrain)\n", + "knn_classifier.fit(xtrain, ytrain)\n", + "rf_classifier.fit(xtrain, ytrain)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "8cbfdc11-ec83-47d3-8236-195f1b2f25df", + "metadata": {}, + "outputs": [], + "source": [ + "logreg_ypred = logreg.predict(xtest)\n", + "svc_classifier_ypred = svc_classifier.predict(xtest)\n", + "dt_classifier_ypred = dt_classifier.predict(xtest)\n", + "knn_classifier_ypred = knn_classifier.predict(xtest)\n", + "rf_classifier_ypred = rf_classifier.predict(xtest)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "e6eb9d8a-0fcc-46d6-acfa-a76a4a358c79", + "metadata": {}, + "outputs": [], + "source": [ + "# finding accuracy\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "logreg_acc = accuracy_score(ytest, logreg_ypred)\n", + "svc_classifier_acc = accuracy_score(ytest, svc_classifier_ypred)\n", + "dt_classifier_acc = accuracy_score(ytest, dt_classifier_ypred)\n", + "knn_classifier_acc = accuracy_score(ytest, knn_classifier_ypred)\n", + "rf_classifier_acc = accuracy_score(ytest, rf_classifier_ypred)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "796c2616-5dbd-4d3f-b862-694a907936cd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Logistic Regression : 84.1\n", + "Support Vector : 83.82\n", + "Decision Tree : 72.25\n", + "K-NN Classifier : 82.08\n", + "Random Forest : 82.66\n" + ] + } + ], + "source": [ + "print (\"Logistic Regression : \", round(logreg_acc*100, 2))\n", + "print (\"Support Vector : \", round(svc_classifier_acc*100, 2))\n", + "print (\"Decision Tree : \", round(dt_classifier_acc*100, 2))\n", + "print (\"K-NN Classifier : \", round(knn_classifier_acc*100, 2))\n", + "print (\"Random Forest : \", round(rf_classifier_acc*100, 2))" + ] + }, + { + "cell_type": "markdown", + "id": "bba3d286-873b-4ed5-8352-b539feef089c", + "metadata": {}, + "source": [ + "# discussion" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "2d0fce3e-3d21-434f-89f9-7932a57d67d0", + "metadata": {}, + "outputs": [], + "source": [ + "x = data.drop(['avg_inflow', 'avg_outflow', 'target','VM','TM','TN'], axis=1)\n", + "y = data['target']" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "90544d46-56ff-4593-932a-56a903ff1d11", + "metadata": {}, + "outputs": [], + "source": [ + "xtrain, xtest, ytrain, ytest = train_test_split(x, y, test_size = 0.25, random_state =0)\n", + "sc_x = StandardScaler()\n", + "xtrain = sc_x.fit_transform(xtrain) \n", + "xtest = sc_x.transform(xtest)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "49c540d9-ed78-42e2-b1d6-af4321d5ef8d", + "metadata": {}, + "outputs": [], + "source": [ + "logreg = LogisticRegression()\n", + "svc_classifier = SVC()\n", + "dt_classifier = DecisionTreeClassifier()\n", + "knn_classifier = KNeighborsClassifier(5)\n", + "rf_classifier = RandomForestClassifier(n_estimators=1000, criterion = 'entropy', random_state = 0 )" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "c78529b7-d7a5-4d77-9642-7e6afc2e5b17", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestClassifier(criterion='entropy', n_estimators=1000, random_state=0)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestClassifier(criterion='entropy', n_estimators=1000, random_state=0)" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "logreg.fit(xtrain, ytrain)\n", + "svc_classifier.fit(xtrain, ytrain)\n", + "dt_classifier.fit(xtrain, ytrain)\n", + "knn_classifier.fit(xtrain, ytrain)\n", + "rf_classifier.fit(xtrain, ytrain)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "671e0a26-f82f-4eda-94c2-1c3ffe358d31", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "logreg_ypred = logreg.predict(xtest)\n", + "svc_classifier_ypred = svc_classifier.predict(xtest)\n", + "dt_classifier_ypred = dt_classifier.predict(xtest)\n", + "knn_classifier_ypred = knn_classifier.predict(xtest)\n", + "rf_classifier_ypred = rf_classifier.predict(xtest)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "a1283606-a52f-4c0d-b98f-2ac9b0ad6e18", + "metadata": {}, + "outputs": [], + "source": [ + "# finding accuracy\n", + "from sklearn.metrics import accuracy_score\n", + "\n", + "logreg_acc = accuracy_score(ytest, logreg_ypred)\n", + "svc_classifier_acc = accuracy_score(ytest, svc_classifier_ypred)\n", + "dt_classifier_acc = accuracy_score(ytest, dt_classifier_ypred)\n", + "knn_classifier_acc = accuracy_score(ytest, knn_classifier_ypred)\n", + "rf_classifier_acc = accuracy_score(ytest, rf_classifier_ypred)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "2360dba3-3be9-433a-af86-9647c52cdc8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Logistic Regression : 84.1\n", + "Support Vector : 83.82\n", + "Decision Tree : 69.36\n", + "K-NN Classifier : 80.64\n", + "Random Forest : 83.24\n" + ] + } + ], + "source": [ + "print (\"Logistic Regression : \", round(logreg_acc*100, 2))\n", + "print (\"Support Vector : \", round(svc_classifier_acc*100, 2))\n", + "print (\"Decision Tree : \", round(dt_classifier_acc*100, 2))\n", + "print (\"K-NN Classifier : \", round(knn_classifier_acc*100, 2))\n", + "print (\"Random Forest : \", round(rf_classifier_acc*100, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "36aa0905-a007-4863-bdc2-2b80527cec36", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "logreg_f1 = f1_score(ytest, logreg_ypred)\n", + "svc_classifier_f1 = f1_score(ytest, svc_classifier_ypred)\n", + "dt_classifier_f1 = f1_score(ytest, dt_classifier_ypred)\n", + "knn_classifier_f1 = f1_score(ytest, knn_classifier_ypred)\n", + "rf_classifier_f1 = f1_score(ytest, rf_classifier_ypred)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "f773ead5-f0b9-4187-b6d5-96fb269d0137", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Logistic Regression : 91.14\n", + "Support Vector : 91.19\n", + "Decision Tree : 81.21\n", + "K-NN Classifier : 88.93\n", + "Random Forest : 90.79\n" + ] + } + ], + "source": [ + "print (\"Logistic Regression : \", round(logreg_f1*100, 2))\n", + "print (\"Support Vector : \", round(svc_classifier_f1*100, 2))\n", + "print (\"Decision Tree : \", round(dt_classifier_f1*100, 2))\n", + "print (\"K-NN Classifier : \", round(knn_classifier_f1*100, 2))\n", + "print (\"Random Forest : \", round(rf_classifier_f1*100, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "be0986db-05d0-49e5-9ac4-8521b1eda6ee", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cm = confusion_matrix(ytest, logreg_ypred)\n", + "plt.figure(figsize=(6, 4))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap=\"Blues\", xticklabels=['Not Optimal', 'Optimal'], yticklabels=['Not Optimal', 'Optimal']) \n", + "plt.title(f\"Confusion Matrix for logistic regg\") \n", + "plt.ylabel('True Label')\n", + "plt.xlabel('Predicted Label')\n", + "plt.show()\n", + "cm = confusion_matrix(ytest, svc_classifier_ypred)\n", + "plt.figure(figsize=(6, 4))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap=\"Blues\", xticklabels=['Not Optimal', 'Optimal'], yticklabels=['Not Optimal', 'Optimal']) \n", + "plt.title(f\"Confusion Matrix for logistic regg\") \n", + "plt.ylabel('True Label')\n", + "plt.xlabel('Predicted Label')\n", + "plt.show()\n", + "cm = confusion_matrix(ytest, dt_classifier_ypred)\n", + "plt.figure(figsize=(6, 4))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap=\"Blues\", xticklabels=['Not Optimal', 'Optimal'], yticklabels=['Not Optimal', 'Optimal']) \n", + "plt.title(f\"Confusion Matrix for logistic regg\") \n", + "plt.ylabel('True Label')\n", + "plt.xlabel('Predicted Label')\n", + "plt.show()\n", + "cm = confusion_matrix(ytest, knn_classifier_ypred)\n", + "plt.figure(figsize=(6, 4))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap=\"Blues\", xticklabels=['Not Optimal', 'Optimal'], yticklabels=['Not Optimal', 'Optimal']) \n", + "plt.title(f\"Confusion Matrix for logistic regg\") \n", + "plt.ylabel('True Label')\n", + "plt.xlabel('Predicted Label')\n", + "plt.show()\n", + "cm = confusion_matrix(ytest, rf_classifier_ypred)\n", + "plt.figure(figsize=(6, 4))\n", + "sns.heatmap(cm, annot=True, fmt='d', cmap=\"Blues\", xticklabels=['Not Optimal', 'Optimal'], yticklabels=['Not Optimal', 'Optimal']) \n", + "plt.title(f\"Confusion Matrix for logistic regg\") \n", + "plt.ylabel('True Label')\n", + "plt.xlabel('Predicted Label')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "790b65a1-4e14-4f63-a2c2-6bbe90d82c71", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 0 0.53 0.14 0.23 56\n", + " 1 0.85 0.98 0.91 290\n", + "\n", + " accuracy 0.84 346\n", + " macro avg 0.69 0.56 0.57 346\n", + "weighted avg 0.80 0.84 0.80 346\n", + "\n", + " precision recall f1-score support\n", + "\n", + " 0 0.00 0.00 0.00 56\n", + " 1 0.84 1.00 0.91 290\n", + "\n", + " accuracy 0.84 346\n", + " macro avg 0.42 0.50 0.46 346\n", + "weighted avg 0.70 0.84 0.76 346\n", + "\n", + " precision recall f1-score support\n", + "\n", + " 0 0.15 0.20 0.17 56\n", + " 1 0.84 0.79 0.81 290\n", + "\n", + " accuracy 0.69 346\n", + " macro avg 0.49 0.49 0.49 346\n", + "weighted avg 0.73 0.69 0.71 346\n", + "\n", + " precision recall f1-score support\n", + "\n", + " 0 0.32 0.18 0.23 56\n", + " 1 0.85 0.93 0.89 290\n", + "\n", + " accuracy 0.81 346\n", + " macro avg 0.59 0.55 0.56 346\n", + "weighted avg 0.77 0.81 0.78 346\n", + "\n", + " precision recall f1-score support\n", + "\n", + " 0 0.33 0.04 0.06 56\n", + " 1 0.84 0.99 0.91 290\n", + "\n", + " accuracy 0.83 346\n", + " macro avg 0.59 0.51 0.49 346\n", + "weighted avg 0.76 0.83 0.77 346\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\DeLL\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, msg_start, len(result))\n", + "C:\\Users\\DeLL\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, msg_start, len(result))\n", + "C:\\Users\\DeLL\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, msg_start, len(result))\n" + ] + } + ], + "source": [ + "print(classification_report(ytest, logreg_ypred))\n", + "print(classification_report(ytest, svc_classifier_ypred))\n", + "print(classification_report(ytest, dt_classifier_ypred))\n", + "print(classification_report(ytest, knn_classifier_ypred))\n", + "print(classification_report(ytest, rf_classifier_ypred))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6fd2814e-0e03-4f40-aef1-4b6f1fbcdf9b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}