frame-detection-parsbert / TestWithNegativeSamples_Final_Threshold0.5.txt
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📊 Test Results (with Negatives):
F1-micro: 0.9079
F1-macro: 0.9195
Classification Report:
precision recall f1-score support
0 1.0000 0.9221 0.9595 4161
1 0.9956 0.9404 0.9672 3375
2 0.9957 0.8877 0.9386 3402
3 0.9959 0.8956 0.9431 2433
4 0.9983 0.9307 0.9633 6852
5 0.9889 0.7651 0.8628 3389
6 1.0000 0.9483 0.9734 5952
7 0.9994 0.9659 0.9824 6985
8 0.9542 0.6857 0.7980 2883
9 0.9374 0.4535 0.6113 4229
10 0.9998 0.9890 0.9944 6732
11 0.9976 0.9319 0.9636 6725
12 0.9988 0.9375 0.9672 6209
13 0.9970 0.9283 0.9614 6430
14 0.9838 0.8101 0.8885 5628
15 0.9904 0.9387 0.9639 3510
16 0.9116 0.8123 0.8591 7010
17 0.9796 0.9660 0.9728 5562
18 0.9963 0.8684 0.9280 1870
19 0.9989 0.9717 0.9851 2789
20 1.0000 0.9753 0.9875 2467
21 0.9992 0.9142 0.9548 3997
22 0.9722 0.9231 0.9470 4965
23 0.9855 0.8608 0.9189 5360
24 0.9981 0.9047 0.9491 3412
25 0.9964 0.9524 0.9739 6989
26 0.9955 0.9650 0.9800 6890
27 0.9941 0.9612 0.9774 6703
28 0.9956 0.9646 0.9799 5684
29 0.9726 0.6625 0.7882 3274
30 0.9938 0.9596 0.9764 3490
31 0.9925 0.8791 0.9324 6958
32 1.0000 0.9114 0.9536 2448
33 0.9398 0.7290 0.8211 2786
34 0.9974 0.8838 0.9371 6942
35 0.9836 0.8708 0.9238 7045
36 0.9817 0.9019 0.9401 3026
37 0.9689 0.4793 0.6414 3050
38 0.9915 0.9469 0.9687 2940
39 0.9916 0.7260 0.8382 2916
40 0.7095 0.9882 0.8259 48961
accuracy 0.9079 236429
macro avg 0.9800 0.8758 0.9195 236429
weighted avg 0.9296 0.9079 0.9090 236429