Ignore:
Timestamp:
02/27/12 23:21:32 (2 years ago)
Author:
janezd <janez.demsar@…>
Branch:
default
Children:
10389:8d7ba785b51c, 10394:962c24741ced
Message:

Moved documentation about regression.mean to rst and simplified it; minor fixes in classification.majority

File:
1 edited

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  • docs/reference/rst/Orange.classification.majority.rst

    r10368 r10388  
    88   pair: classification; majority classifier 
    99 
    10 Accuracy of classifiers is often compared to the "default accuracy", 
     10Accuracy of classifiers is often compared with the "default accuracy", 
    1111that is, the accuracy of a classifier which classifies all instances 
    1212to the majority class. The training of such classifier consists of 
    13 computing the class distribution and its modus. The model is represented as an instance of :obj:`Orange.classification.ConstantClassifier`. 
     13computing the class distribution and its modus. The model is 
     14represented as an instance of 
     15:obj:`Orange.classification.ConstantClassifier`. 
    1416 
    1517.. class:: MajorityLearner 
     
    2022     
    2123        An estimator constructor that can be used for estimation of 
    22         class probabilities. If left None, probability of each class is 
     24        class probabilities. If left ``None``, probability of each class is 
    2325        estimated as the relative frequency of instances belonging to 
    2426        this class. 
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