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code_report.log
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KNN： generalization
precision recall f1-score support
0.0 0.90 0.87 0.88 315
1.0 0.96 0.94 0.95 250
2.0 0.94 0.95 0.95 220
3.0 0.98 1.00 0.99 355
4.0 1.00 0.98 0.99 265
5.0 0.91 0.92 0.92 325
6.0 0.93 0.94 0.94 490
accuracy 0.94 2220
macro avg 0.95 0.94 0.94 2220
weighted avg 0.94 0.94 0.94 2220
specialization：
precision recall f1-score support
0.0 0.95 0.92 0.93 585
1.0 0.98 0.99 0.99 410
2.0 0.96 0.99 0.98 365
3.0 1.00 1.00 1.00 685
4.0 1.00 1.00 1.00 540
5.0 0.96 0.98 0.97 610
6.0 0.97 0.96 0.97 970
accuracy 0.97 4165
macro avg 0.97 0.98 0.98 4165
weighted avg 0.97 0.97 0.97 4165
SVM：generalization
precision recall f1-score support
0.0 0.97 0.95 0.96 360
1.0 0.96 0.99 0.97 265
2.0 0.97 0.99 0.98 225
3.0 0.95 1.00 0.97 285
4.0 1.00 1.00 1.00 245
5.0 0.96 0.93 0.94 360
6.0 0.96 0.95 0.95 480
accuracy 0.97 2220
macro avg 0.97 0.97 0.97 2220
weighted avg 0.97 0.97 0.97 2220
specialization
precision recall f1-score support
0.0 1.00 1.00 1.00 670
1.0 1.00 1.00 1.00 505
2.0 1.00 1.00 1.00 435
3.0 0.98 1.00 0.99 665
4.0 1.00 1.00 1.00 480
5.0 1.00 0.99 1.00 675
6.0 1.00 0.98 0.99 820
accuracy 0.99 4250
macro avg 1.00 1.00 1.00 4250
weighted avg 0.99 0.99 0.99 4250
LSTM：generalization
precision recall f1-score support
0.0 0.94 0.99 0.96 350
1.0 0.99 0.99 0.99 280
2.0 1.00 1.00 1.00 205
3.0 0.99 0.98 0.98 300
4.0 1.00 1.00 1.00 275
5.0 0.97 0.93 0.95 360
6.0 0.94 0.94 0.94 450
accuracy 0.97 2220
macro avg 0.98 0.98 0.98 2220
weighted avg 0.97 0.97 0.97 2220
tensor(97.1622, device='cuda:0')
Process finished with exit code 0
specialization
precision recall f1-score support
0.0 0.99 0.99 0.99 690
1.0 0.99 1.00 1.00 450
2.0 1.00 1.00 1.00 430
3.0 1.00 1.00 1.00 565
4.0 1.00 1.00 1.00 595
5.0 0.99 0.99 0.99 690
6.0 0.99 1.00 1.00 925
accuracy 1.00 4345
macro avg 1.00 1.00 1.00 4345
weighted avg 1.00 1.00 1.00 4345
tensor(99.5397, device='cuda:0')