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From takuti <>
Subject [GitHub] incubator-hivemall pull request #107: [HIVEMALL-132] Generalize f1score UDAF...
Date Mon, 21 Aug 2017 08:17:58 GMT
Github user takuti commented on a diff in the pull request:
    --- Diff: docs/gitbook/eval/ ---
    @@ -0,0 +1,232 @@
    +  Licensed to the Apache Software Foundation (ASF) under one
    +  or more contributor license agreements.  See the NOTICE file
    +  distributed with this work for additional information
    +  regarding copyright ownership.  The ASF licenses this file
    +  to you under the Apache License, Version 2.0 (the
    +  "License"); you may not use this file except in compliance
    +  with the License.  You may obtain a copy of the License at
    +  Unless required by applicable law or agreed to in writing,
    +  software distributed under the License is distributed on an
    +  KIND, either express or implied.  See the License for the
    +  specific language governing permissions and limitations
    +  under the License.
    +<!-- toc -->
    +# Binary problems
    +Binary classification problem is the task to predict the label of each data given two
categorized dataset.
    +Hivemall provides some tutorials to deal with binary classification problems as follows:
    +- [Online advertisement click prediction](../binaryclass/general.html)
    +- [News classification](../binaryclass/news20_dataset.html)
    +This page focuses on the evaluation of the results from such binary classification problems.
    +If you want to know about Area Under the ROC Curve, please check [AUC](./ page.
    --- End diff --
    Describing why AUC is documented separately is better. For example: "If your classifier
outputs probability rather than 0/1 label, evaluation based on [Area Under the ROC Curve](./
would be more appropriate."

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