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Karol Grzegorczyk edited comment on MAHOUT-1554 at 5/21/14 7:38 AM: -------------------------------------------------------------------- I'm submitting a patch ([^statistics.diff]) which introduce weighted average of precision, recall and F1 score. I decided to compute weighted average, because it is a default choice in a popular scikit-learn library. Weights are actual number of test examples (sum of true positives and false negatives). was (Author: kagrze): I'm submitting a patch (statistics.diff) which introduce weighted average of precision, recall and F1 score. I decided to compute weighted average, because it is a default choice in a popular scikit-learn library. Weights are actual number of test examples (sum of true positives and false negatives). > Provide more comprehensive classification statistics > ---------------------------------------------------- > > Key: MAHOUT-1554 > URL: https://issues.apache.org/jira/browse/MAHOUT-1554 > Project: Mahout > Issue Type: Improvement > Components: Classification > Reporter: Karol Grzegorczyk > Priority: Minor > Fix For: 1.0 > > Attachments: statistics.diff > > > Currently only limited classification statistics are provided. To better > understand classification results, it would be worth to provide at lease > average precision, recall and F1 score. -- This message was sent by Atlassian JIRA (v6.2#6252)