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Jun 27, 2017
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[MRG+1] Update list of scorers #9230

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Update list of scorers
minghui-liu Jun 27, 2017
7f5cbf7
change ordering of scorers to alphabetical
minghui-liu Jun 27, 2017
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51 changes: 29 additions & 22 deletions doc/modules/model_evaluation.rst
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Expand Up @@ -54,33 +54,40 @@ the model and the data, like :func:`metrics.mean_squared_error`, are
available as neg_mean_squared_error which return the negated value
of the metric.


============================ ========================================= ==================================
Scoring Function Comment
============================ ========================================= ==================================
============================== ============================================= ==================================
Scoring Function Comment
============================== ============================================= ==================================
**Classification**
'accuracy' :func:`metrics.accuracy_score`
'average_precision' :func:`metrics.average_precision_score`
'f1' :func:`metrics.f1_score` for binary targets
'f1_micro' :func:`metrics.f1_score` micro-averaged
'f1_macro' :func:`metrics.f1_score` macro-averaged
'f1_weighted' :func:`metrics.f1_score` weighted average
'f1_samples' :func:`metrics.f1_score` by multilabel sample
'neg_log_loss' :func:`metrics.log_loss` requires ``predict_proba`` support
'precision' etc. :func:`metrics.precision_score` suffixes apply as with 'f1'
'recall' etc. :func:`metrics.recall_score` suffixes apply as with 'f1'
'roc_auc' :func:`metrics.roc_auc_score`
'accuracy' :func:`metrics.accuracy_score`
'average_precision' :func:`metrics.average_precision_score`
'f1' :func:`metrics.f1_score` for binary targets
'f1_micro' :func:`metrics.f1_score` micro-averaged
'f1_macro' :func:`metrics.f1_score` macro-averaged
'f1_weighted' :func:`metrics.f1_score` weighted average
'f1_samples' :func:`metrics.f1_score` by multilabel sample
'neg_log_loss' :func:`metrics.log_loss` requires ``predict_proba`` support
'precision' etc. :func:`metrics.precision_score` suffixes apply as with 'f1'
'recall' etc. :func:`metrics.recall_score` suffixes apply as with 'f1'
'roc_auc' :func:`metrics.roc_auc_score`

**Clustering**
'adjusted_rand_score' :func:`metrics.adjusted_rand_score`
'adjusted_mutual_info_score' :func:`metrics.adjusted_mutual_info_score`
'adjusted_rand_score' :func:`metrics.adjusted_rand_score`
'completeness_score' :func:`metrics.completeness_score`
'fowlkes_mallows_score' :func:`metrics.fowlkes_mallows_score`
'homogeneity_score' :func:`metrics.homogeneity_score`
'mutual_info_score' :func:`metrics.mutual_info_score`
'normalized_mutual_info_score' :func:`metrics.normalized_mutual_info_score`
'v_measure_score' :func:`metrics.v_measure_score`

**Regression**
'neg_mean_absolute_error' :func:`metrics.mean_absolute_error`
'neg_mean_squared_error' :func:`metrics.mean_squared_error`
'neg_mean_squared_log_error' :func:`metrics.mean_squared_log_error`
'neg_median_absolute_error' :func:`metrics.median_absolute_error`
'r2' :func:`metrics.r2_score`
============================ ========================================= ==================================
'neg_mean_absolute_error' :func:`metrics.mean_absolute_error`
'neg_mean_squared_error' :func:`metrics.mean_squared_error`
'neg_mean_squared_log_error' :func:`metrics.mean_squared_log_error`
'neg_median_absolute_error' :func:`metrics.median_absolute_error`
'r2' :func:`metrics.r2_score`
============================== ============================================= ==================================


Usage examples:

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