Iter 100 time=13.34 loss=14383.13 active=262344 precision=0.998 recall=0.998 F1=0.998 Acc(item/seq)=0.998 0.818 feature_norm=742.32
================================================
Label Precision Recall F1 Support
------- ----------- -------- ----- ---------
0 0.998 0.998 0.998 791456
1 0.998 0.998 0.998 721981
------------------------------------------------
Total seconds required for training: 1355.816
Number of active features: 262344 (5466873)
Number of active attributes: 180020 (5710703)
Number of active labels: 2 (2)
Train set num sentences: 58153
Performance on training set: 0.9997525919880873
Test set num sentences: 14539
Performance on test set: 0.9976550064522012
Iter 100 time=2.01 loss=83190.08 active=102602 precision=0.970 recall=0.970 F1=0.970 Acc(item/seq)=0.973 0.223 feature_norm=157.96
================================================
Label Precision Recall F1 Support
------- ----------- -------- ----- ---------
0 0.979 0.978 0.978 183201
1 0.962 0.963 0.963 105562
------------------------------------------------
Total seconds required for training: 221.182
Number of active features: 102602 (2501777)
Number of active attributes: 64735 (2676196)
Number of active labels: 2 (2)
Train set num sentences: 16084
Performance on training set: 0.9819638316441394
Test set num sentences: 4022
Performance on test set: 0.9725380329197301