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Gain (information retrieval) : ウィキペディア英語版 | Gain (information retrieval)
In information retrieval, the gain or improvement over random of a classifier is a set of measures of the classifier's performance. Gain is calculated between a random classifier on a given metric (such as precision or accuracy) versus the same metric on the classifier being measured. == Definition == In the following a random classifier is defined such that it randomly predicts the same amount of either class. The gain is defined as described in the following:
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Gain (information retrieval)」の詳細全文を読む
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