Github user takuti commented on a diff in the pull request:
https://github.com/apache/incubator-hivemall/pull/107#discussion_r134146143
--- Diff: docs/gitbook/eval/binary_classification_measures.md ---
@@ -0,0 +1,232 @@
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+
+<!-- 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](./auc.md) 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](./auc.md) would be more appropriate."
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