Ignore:
Timestamp:
02/22/12 14:26:16 (2 years ago)
Author:
Lan Zagar <lan.zagar@…>
Branch:
default
rebase_source:
78096b8768302f3c253eb08a3a8bbb3b4af01cca
Message:

Added multitarget scoring to documentation.

File:
1 edited

Legend:

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  • docs/reference/rst/Orange.evaluation.scoring.rst

    r10282 r10339  
    127127.. autofunction:: split_by_iterations 
    128128 
    129 ===================================== 
    130 Scoring for multilabel classification 
    131 ===================================== 
     129 
     130.. _mt-scoring: 
     131 
     132============ 
     133Multi-target 
     134============ 
     135 
     136:doc:`Multi-target <Orange.multitarget>` classifiers predict values for 
     137multiple target classes. They can be used with standard 
     138:obj:`~Orange.evaluation.testing` procedures (e.g. 
     139:obj:`~Orange.evaluation.testing.Evaluation.cross_validation`), but require special 
     140scoring functions to compute a single score from the obtained 
     141:obj:`~Orange.evaluation.testing.ExperimentResults`. 
     142 
     143.. autofunction:: mt_flattened_score 
     144.. autofunction:: mt_average_score 
     145 
     146========================== 
     147Multi-label classification 
     148========================== 
    132149 
    133150Multi-label classification requires different metrics than those used in 
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