http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/spark/regression/e2006_df.html
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diff --git a/userguide/spark/regression/e2006_df.html 
b/userguide/spark/regression/e2006_df.html
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                         <b>1.3.1.</b>
                     
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+                <a href="../../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../../eval/regression.html">
+            
+                <a href="../../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../../eval/rank.html">
+            
+                <a href="../../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
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                 <a href="../../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
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data-path="../../eval/lr_datagen.html">
             
                 <a href="../../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
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                     Logistic Regression data generation
             
@@ -2279,7 +2309,7 @@ Apache Hivemall is an effort undergoing incubation at The 
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+                <a href="../../eval/multilabel_classification_measures.html">
             
                     
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+                    Multi-label Classification Metrics
+            
+                </a>
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-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/tips/addbias.html
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diff --git a/userguide/tips/addbias.html b/userguide/tips/addbias.html
index 0b1717c..d360fc9 100644
--- a/userguide/tips/addbias.html
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-        <title>Explicit addBias() for better prediction · Hivemall User 
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+        <title>Explicit add_bias() for better prediction · Hivemall User 
Manual</title>
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@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
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data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
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-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
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-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
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-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2122,7 +2152,7 @@
     <!-- Title -->
     <h1>
         <i class="fa fa-circle-o-notch fa-spin"></i>
-        <a href=".." >Explicit addBias() for better prediction</a>
+        <a href=".." >Explicit add_bias() for better prediction</a>
     </h1>
 </div>
 
@@ -2161,9 +2191,9 @@
 <p>With bias clause b, a trainer learns the following f(x).
 <em>f(x)=Wx+b</em> 
 Then, the predicted model considers bias existing in the dataset and the 
predicted hyperplane does not always cross the origin.</p>
-<p><strong>addBias()</strong> of Hivemall, adds a bias to a feature vector. 
-To enable a bias clause, use addBias() for 
<strong>both</strong><em>(important!)</em> training and test data as follows.
-The bias <em>b</em> is a feature of &quot;0&quot; (&quot;-1&quot; in before 
v0.3) by the default. See <a href="addbias.html">AddBiasUDF</a> for the 
detail.</p>
+<p><strong>add_bias()</strong> of Hivemall, adds a bias to a feature vector. 
+To enable a bias clause, use add<em>bias() for 
<strong>both</strong></em>(important!)<em> training and test data as follows.
+The bias _b</em> is a feature of &quot;0&quot; (&quot;-1&quot; in before v0.3) 
by the default. See <a href="addbias.html">AddBiasUDF</a> for the detail.</p>
 <p>Note that Bias is expressed as a feature that found in all training/testing 
examples.</p>
 <h1 id="adding-a-bias-clause-to-test-data">Adding a bias clause to test 
data</h1>
 <pre><code class="lang-sql"><span class="hljs-keyword">create</span> <span 
class="hljs-keyword">table</span> e2006tfidf_test_exploded <span 
class="hljs-keyword">as</span>
@@ -2175,7 +2205,7 @@ The bias <em>b</em> is a feature of &quot;0&quot; 
(&quot;-1&quot; in before v0.3
   <span class="hljs-comment">-- extract_feature(feature) as feature, -- 
hivemall v0.3.1 or later</span>
   <span class="hljs-comment">-- extract_weight(feature) as value     -- 
hivemall v0.3.1 or later</span>
 <span class="hljs-keyword">from</span> 
-  e2006tfidf_test LATERAL <span class="hljs-keyword">VIEW</span> 
explode(addBias(features)) t <span class="hljs-keyword">AS</span> feature;
+  e2006tfidf_test LATERAL <span class="hljs-keyword">VIEW</span> 
explode(add_bias(features)) t <span class="hljs-keyword">AS</span> feature;
 </code></pre>
 <h1 id="adding-a-bias-clause-to-training-data">Adding a bias clause to 
training data</h1>
 <pre><code>create table e2006tfidf_pa1a_model as
@@ -2184,7 +2214,7 @@ select
  avg(weight) as weight
 from 
  (select 
-     pa1a_regress(addBias(features),target) as (feature,weight)
+     pa1a_regress(add_bias(features),target) as (feature,weight)
   from 
      e2006tfidf_train_x3
  ) t 
@@ -2244,7 +2274,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/tips/emr.html
----------------------------------------------------------------------
diff --git a/userguide/tips/emr.html b/userguide/tips/emr.html
index 856cfc6..52e1b5e 100644
--- a/userguide/tips/emr.html
+++ b/userguide/tips/emr.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2249,7 +2279,7 @@ source ./tmp/define-all.hive;
   <span class="hljs-keyword">cast</span>(<span 
class="hljs-keyword">split</span>(feature,<span 
class="hljs-string">&quot;:&quot;</span>)[<span class="hljs-number">0</span>] 
<span class="hljs-keyword">as</span> <span class="hljs-built_in">int</span>) 
<span class="hljs-keyword">as</span> feature,
   <span class="hljs-keyword">cast</span>(<span 
class="hljs-keyword">split</span>(feature,<span 
class="hljs-string">&quot;:&quot;</span>)[<span class="hljs-number">1</span>] 
<span class="hljs-keyword">as</span> <span class="hljs-built_in">float</span>) 
<span class="hljs-keyword">as</span> <span class="hljs-keyword">value</span>
 <span class="hljs-keyword">from</span> 
-  news20b_test LATERAL <span class="hljs-keyword">VIEW</span> 
explode(addBias(features)) t <span class="hljs-keyword">AS</span> feature;
+  news20b_test LATERAL <span class="hljs-keyword">VIEW</span> 
explode(add_bias(features)) t <span class="hljs-keyword">AS</span> feature;
 </code></pre>
 <hr>
 <h1 id="adaptive-regularization-of-weight-vectors-arow">Adaptive 
Regularization of Weight Vectors (AROW)</h1>
@@ -2271,7 +2301,7 @@ LOCATION <span 
class="hljs-string">&apos;s3://${s3bucket}/emr/outputs/news20b_ar
  <span class="hljs-keyword">cast</span>(voted_avg(weight) <span 
class="hljs-keyword">as</span> <span class="hljs-built_in">float</span>) <span 
class="hljs-keyword">as</span> weight
 <span class="hljs-keyword">from</span> 
  (<span class="hljs-keyword">select</span> 
-     train_arow(addBias(features),label) <span class="hljs-keyword">as</span> 
(feature,weight)
+     train_arow(add_bias(features),label) <span class="hljs-keyword">as</span> 
(feature,weight)
   <span class="hljs-keyword">from</span> 
      news20b_train_x3
  ) t 
@@ -2330,8 +2360,8 @@ LOCATION <span 
class="hljs-string">&apos;s3://${s3bucket}/emr/outputs/news20b_ar
  --bootstrap-action s3://elasticmapreduce/bootstrap-actions/install-ganglia \
    --bootstrap-name &quot;install ganglia&quot; \
  --availability-zone ap-northeast-1a
-</code></pre><p>Using spot instance for core/task instance groups is the best 
way to save your money.
-<div id="page-footer" class="localized-footer"><hr><!--
+</code></pre><p>Using spot instance for core/task instance groups is the best 
way to save your money.</p>
+<p><div id="page-footer" class="localized-footer"><hr><!--
   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
@@ -2386,7 +2416,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/tips/ensemble_learning.html
----------------------------------------------------------------------
diff --git a/userguide/tips/ensemble_learning.html 
b/userguide/tips/ensemble_learning.html
index 370e424..364f2f2 100644
--- a/userguide/tips/ensemble_learning.html
+++ b/userguide/tips/ensemble_learning.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2197,20 +2227,20 @@ source /home/myui/tmp/define-all.hive;
  voted_avg(weight) <span class="hljs-keyword">as</span> weight
 <span class="hljs-keyword">from</span> 
  (<span class="hljs-keyword">select</span> 
-     <span class="hljs-comment">-- 
train_multiclass_cw(addBias(features),label) as (label,feature,weight)      -- 
hivemall v0.1</span>
-     train_multiclass_cw(addBias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)   <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
+     <span class="hljs-comment">-- 
train_multiclass_cw(add_bias(features),label) as (label,feature,weight)      -- 
hivemall v0.1</span>
+     train_multiclass_cw(add_bias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)   <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
   <span class="hljs-keyword">from</span> 
      news20mc_train_x3
   <span class="hljs-keyword">union</span> all
   <span class="hljs-keyword">select</span> 
-     <span class="hljs-comment">-- 
train_multiclass_arow(addBias(features),label) as (label,feature,weight)    -- 
hivemall v0.1</span>
-     train_multiclass_arow(addBias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar) <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
+     <span class="hljs-comment">-- 
train_multiclass_arow(add_bias(features),label) as (label,feature,weight)    -- 
hivemall v0.1</span>
+     train_multiclass_arow(add_bias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar) <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
   <span class="hljs-keyword">from</span> 
      news20mc_train_x3
   <span class="hljs-keyword">union</span> all
   <span class="hljs-keyword">select</span> 
-     <span class="hljs-comment">-- 
train_multiclass_scw(addBias(features),label) as (label,feature,weight)     -- 
hivemall v0.1</span>
-     train_multiclass_scw(addBias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)  <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
+     <span class="hljs-comment">-- 
train_multiclass_scw(add_bias(features),label) as (label,feature,weight)     -- 
hivemall v0.1</span>
+     train_multiclass_scw(add_bias(features),label) <span 
class="hljs-keyword">as</span> (label,feature,weight,covar)  <span 
class="hljs-comment">-- hivemall v0.2 or later</span>
   <span class="hljs-keyword">from</span> 
      news20mc_train_x3
  ) t 
@@ -2421,7 +2451,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
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 </div>

http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/tips/general_tips.html
----------------------------------------------------------------------
diff --git a/userguide/tips/general_tips.html b/userguide/tips/general_tips.html
index fbf09a1..dc0b303 100644
--- a/userguide/tips/general_tips.html
+++ b/userguide/tips/general_tips.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2210,7 +2240,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
     <script>
         var gitbook = gitbook || [];
         gitbook.push(function() {
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http://git-wip-us.apache.org/repos/asf/incubator-hivemall-site/blob/a98b42f8/userguide/tips/hadoop_tuning.html
----------------------------------------------------------------------
diff --git a/userguide/tips/hadoop_tuning.html 
b/userguide/tips/hadoop_tuning.html
index db1b7fd..25d5fa0 100644
--- a/userguide/tips/hadoop_tuning.html
+++ b/userguide/tips/hadoop_tuning.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
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+        <li class="chapter " data-level="4.5.1" 
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                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2279,7 +2309,7 @@ Apache Hivemall is an effort undergoing incubation at The 
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----------------------------------------------------------------------
diff --git a/userguide/tips/index.html b/userguide/tips/index.html
index 53d6bd5..b1da530 100644
--- a/userguide/tips/index.html
+++ b/userguide/tips/index.html
@@ -244,7 +244,7 @@
                     
                         <b>1.3.1.</b>
                     
-                    Explicit addBias() for better prediction
+                    Explicit add_bias() for better prediction
             
                 </a>
             
@@ -707,14 +707,14 @@
         
         
     
-        <li class="chapter " data-level="4.1" 
data-path="../eval/stat_eval.html">
+        <li class="chapter " data-level="4.1" 
data-path="../eval/binary_classification_measures.html">
             
-                <a href="../eval/stat_eval.html">
+                <a href="../eval/binary_classification_measures.html">
             
                     
                         <b>4.1.</b>
                     
-                    Statistical evaluation of a prediction model
+                    Binary Classification Metrics
             
                 </a>
             
@@ -743,13 +743,43 @@
             
         </li>
     
-        <li class="chapter " data-level="4.2" data-path="../eval/rank.html">
+        <li class="chapter " data-level="4.2" 
data-path="../eval/multilabel_classification_measures.html">
             
-                <a href="../eval/rank.html">
+                <a href="../eval/multilabel_classification_measures.html">
             
                     
                         <b>4.2.</b>
                     
+                    Multi-label Classification Metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.3" 
data-path="../eval/regression.html">
+            
+                <a href="../eval/regression.html">
+            
+                    
+                        <b>4.3.</b>
+                    
+                    Regression metrics
+            
+                </a>
+            
+
+            
+        </li>
+    
+        <li class="chapter " data-level="4.4" data-path="../eval/rank.html">
+            
+                <a href="../eval/rank.html">
+            
+                    
+                        <b>4.4.</b>
+                    
                     Ranking Measures
             
                 </a>
@@ -758,12 +788,12 @@
             
         </li>
     
-        <li class="chapter " data-level="4.3" data-path="../eval/datagen.html">
+        <li class="chapter " data-level="4.5" data-path="../eval/datagen.html">
             
                 <a href="../eval/datagen.html">
             
                     
-                        <b>4.3.</b>
+                        <b>4.5.</b>
                     
                     Data Generation
             
@@ -774,12 +804,12 @@
             <ul class="articles">
                 
     
-        <li class="chapter " data-level="4.3.1" 
data-path="../eval/lr_datagen.html">
+        <li class="chapter " data-level="4.5.1" 
data-path="../eval/lr_datagen.html">
             
                 <a href="../eval/lr_datagen.html">
             
                     
-                        <b>4.3.1.</b>
+                        <b>4.5.1.</b>
                     
                     Logistic Regression data generation
             
@@ -2210,7 +2240,7 @@ Apache Hivemall is an effort undergoing incubation at The 
Apache Software Founda
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