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Authored by awight on Mar 21 2018, 7:47 PM.
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Mar 21 2018, 7:47 PM
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--- master_cswiki_info 2018-03-21 19:44:58.431599292 +0000
+++ simplify_template_cswiki_info 2018-03-21 16:02:06.700442411 +0000
@@ -1,12 +1,12 @@
Model Information:
- type: GradientBoosting
- version: 0.4.0
- - params: {'verbose': 0, 'max_depth': 7, 'init': None, 'random_state': None, 'min_weight_fraction_leaf': 0.0, 'labels': [True, False], 'warm_start': False, 'label_weights': OrderedDict([(True, 10)]), 'max_leaf_nodes': None, 'multilabel': False, 'center': True, 'subsample': 1.0, 'population_rates': None, 'min_samples_split': 2, 'n_estimators': 500, 'max_features': 'log2', 'learning_rate': 0.01, 'scale': True, 'loss': 'deviance', 'min_samples_leaf': 1, 'presort': 'auto'}
+ - params: {'population_rates': None, 'init': None, 'subsample': 1.0, 'center': True, 'max_depth': 7, 'min_weight_fraction_leaf': 0.0, 'max_features': 'log2', 'warm_start': False, 'loss': 'deviance', 'min_samples_split': 2, 'max_leaf_nodes': None, 'random_state': None, 'n_estimators': 500, 'scale': True, 'min_samples_leaf': 1, 'presort': 'auto', 'multilabel': False, 'labels': [True, False], 'label_weights': OrderedDict([(True, 10)]), 'learning_rate': 0.01, 'verbose': 0}
Environment:
- revscoring_version: '2.1.0'
- - platform: 'Linux-4.9.0-4-amd64-x86_64-with-debian-9.3'
+ - platform: 'Linux-4.9.0-5-amd64-x86_64-with-debian-9.3'
- machine: 'x86_64'
- - version: '#1 SMP Debian 4.9.51-1 (2017-09-28)'
+ - version: '#1 SMP Debian 4.9.65-3+deb9u2 (2018-01-04)'
- system: 'Linux'
- processor: ''
- python_build: ('default', 'Jan 19 2017 14:11:04')
@@ -15,67 +15,67 @@
- python_implementation: 'CPython'
- python_revision: ''
- python_version: '3.5.3'
- - release: '4.9.0-4-amd64'
+ - release: '4.9.0-5-amd64'
Statistics:
- counts (n=19971):
+ counts (n=17794):
label n ~True ~False
------- ----- --- ------- --------
- True 762 --> 565 197
- False 19209 --> 489 18720
+ True 451 --> 224 227
+ False 17343 --> 400 16943
rates:
True False
---------- ------ -------
- sample 0.038 0.962
+ sample 0.025 0.975
population 0.045 0.955
- match_rate (micro=0.903, macro=0.5):
+ match_rate (micro=0.915, macro=0.5):
False True
------- ------
- 0.943 0.057
- filter_rate (micro=0.097, macro=0.5):
+ 0.956 0.044
+ filter_rate (micro=0.085, macro=0.5):
False True
------- ------
- 0.057 0.943
- recall (micro=0.964, macro=0.858):
+ 0.044 0.956
+ recall (micro=0.956, macro=0.737):
False True
------- ------
- 0.975 0.741
- !recall (micro=0.752, macro=0.858):
+ 0.977 0.497
+ !recall (micro=0.518, macro=0.737):
False True
------- ------
- 0.741 0.975
- precision (micro=0.969, macro=0.782):
+ 0.497 0.977
+ precision (micro=0.955, macro=0.739):
False True
------- ------
- 0.988 0.576
- !precision (micro=0.595, macro=0.782):
+ 0.977 0.501
+ !precision (micro=0.522, macro=0.739):
False True
------- ------
- 0.576 0.988
- f1 (micro=0.966, macro=0.815):
+ 0.501 0.977
+ f1 (micro=0.955, macro=0.738):
False True
------- ------
- 0.981 0.648
- !f1 (micro=0.663, macro=0.815):
+ 0.977 0.499
+ !f1 (micro=0.52, macro=0.738):
False True
------- ------
- 0.648 0.981
- accuracy (micro=0.964, macro=0.964):
+ 0.499 0.977
+ accuracy (micro=0.956, macro=0.956):
False True
------- ------
- 0.964 0.964
- fpr (micro=0.248, macro=0.142):
+ 0.956 0.956
+ fpr (micro=0.482, macro=0.263):
False True
------- ------
- 0.259 0.025
- roc_auc (micro=0.955, macro=0.954):
+ 0.503 0.023
+ roc_auc (micro=0.921, macro=0.921):
False True
------- ------
- 0.955 0.952
- pr_auc (micro=0.986, macro=0.873):
+ 0.921 0.92
+ pr_auc (micro=0.973, macro=0.748):
False True
------- ------
- 0.997 0.749
+ 0.995 0.501
- - score_schema: {'type': 'object', 'properties': {'probability': {'description': 'A mapping of probabilities onto each of the potential output labels', 'type': 'object', 'properties': {'false': 'number', 'true': 'number'}}, 'prediction': {'description': 'The most likely label predicted by the estimator', 'type': 'bool'}}, 'title': 'Scikit learn-based classifier score with probability'}
+ - score_schema: {'properties': {'probability': {'properties': {'true': 'number', 'false': 'number'}, 'type': 'object', 'description': 'A mapping of probabilities onto each of the potential output labels'}, 'prediction': {'type': 'bool', 'description': 'The most likely label predicted by the estimator'}}, 'type': 'object', 'title': 'Scikit learn-based classifier score with probability'}