--- 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'}