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结果2.txt
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结果2.txt
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83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
3 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
0 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
2
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
2 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
1
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
8108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
recision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
2 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
83 4 16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
16 2 52
15 3 12 15 39
21 8 32 53 100
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
00
8 16 30 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
03 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
0 103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
103 231
12 45 24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
24 99 863
precision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
recision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
cision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037
0.5356515347747618 0.5774012773415829 0.5475083353076928
correctSum accuracy
1084 0.574761399787911
cision recall f1
0.5971223021582733 0.5286624203821656 0.5608108108108107
0.039473684210526314 0.03571428571428571 0.0375
0.2807017543859649 0.14953271028037382 0.19512195121951217
0.3786764705882353 0.2654639175257732 0.3121212121212122
0.6715953307392996 0.8274209012464045 0.7414089347079037