Github user takuti commented on a diff in the pull request:
https://github.com/apache/incubator-hivemall/pull/107#discussion_r134137472
--- 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.
+
+# Example
+
+For the metrics explanation, this page introduces toy example data and two
metrics.
+
+## Data
+
+The following table shows the sample of binary classification's prediction.
+In this case, `1` means positive label and `0` means negative label.
+Left column includes supervised label data,
--- End diff --
Let you fix typo and strange capitalization as: "Left column includes
supervised label data, and right column includes predicted label by a binary
classifier."
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