Matching stats:
#|
|| id_type | cnt | matched_cnt | ratio ||
|| phone_md5 | 20 | 12 | 0.6 ||
|#
Classes stats:
#|
|| cnt | ratio | segment_name ||
|| 11 | 0.423 | negative ||
|| 15 | 0.577 | positive ||
|#
Metrics:
#|
|| sample | roc_auc | accuracy.test | logloss.test | train_sample_size | train_distribution.positive | train_distribution.negative ||
|| new | 0.417 | 0.727 | 0.62 | 25 | 0.32 | 0.68 ||
|#
<{Top-10 features
- abc
- abc
- abc
- abc
- abc
- abc
- abc
- abc
- abc
- abc
}>

<{Initial sample in segments by classes
#|
|| predicted_segment | positive_ratio | negative_ratio ||
|| 0_10 | 0.125 | 0.176 ||
|| 20_30 | 0.0 | 0.118 ||
|| 30_40 | 0.0 | 0.059 ||
|| 40_50 | 0.0 | 0.118 ||
|| 50_60 | 0.125 | 0.0 ||
|| 60_70 | 0.0 | 0.353 ||
|| 70_80 | 0.0 | 0.176 ||
|| 90_100 | 0.5 | 0.0 ||
|#
}>

Model score:
!!(red)-0.551!!

Warning: model cannot distinguish positive class well
Warning: model cannot distinguish negative class well
