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结果3.txt
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结果3.txt
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79 4 15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
4 15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
1 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
ecision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
65 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
9 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
recision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
09876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
79 4 15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
4 15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
4 15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
5 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
1 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
1 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
9 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
68965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
3896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
5 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
6
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
9 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
6
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
4
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
79 4 15 8 56
15 3 11 10 24
15 13 41 38 99
8 18 32 137 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
0 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
0 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
all f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
37 214
28 39 30 108 841
precision recall f1
0.5448275862068965 0.4876543209876543 0.5146579804560261
0.03896103896103896 0.047619047619047616 0.04285714285714286
0.3178294573643411 0.19902912621359223 0.24477611940298505
0.45514950166112955 0.33496332518337407 0.38591549295774646
0.6815235008103727 0.8040152963671128 0.737719298245614
0.5559497962130833 0.5806939083752984 0.5619105198543018
correctSum accuracy
1101 0.5837751855779427
precision recall f1