From ee115ebde6629cc7b8a47bdc268985c1f1bc944e Mon Sep 17 00:00:00 2001
From: Oceania2018 <haiping008@gmail.com>
Date: Tue, 11 Sep 2018 17:46:07 -0500
Subject: [PATCH] update CookingTest

---
 BotSharp.NLP.UnitTest/NaiveBayesClassifierTest.cs | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/BotSharp.NLP.UnitTest/NaiveBayesClassifierTest.cs b/BotSharp.NLP.UnitTest/NaiveBayesClassifierTest.cs
index cffd7c00..be599c14 100644
--- a/BotSharp.NLP.UnitTest/NaiveBayesClassifierTest.cs
+++ b/BotSharp.NLP.UnitTest/NaiveBayesClassifierTest.cs
@@ -34,7 +34,7 @@ namespace BotSharp.NLP.UnitTest
             }
             sentences = newSentences.ToList();
             
-            // sentences.Shuffle();
+            sentences.Shuffle();
 
             var encoder = new OneHotEncoder();
             encoder.Sentences = sentences;
@@ -46,23 +46,24 @@ namespace BotSharp.NLP.UnitTest
             };
             var classifier = new ClassifierFactory<NaiveBayesClassifier, SentenceFeatureExtractor>(options, SupportedLanguage.English);
             
-            var dataset = sentences.Split(1M);
+            var dataset = sentences.Split(0.7M);
             classifier.Train(dataset.Item1);
 
             int correct = 0;
-            dataset.Item1.ToList().ForEach(td =>
+            int total = 0;
+            dataset.Item1.ForEach(td =>
             {
                 var classes = classifier.Classify(td);
                 if (td.Label == classes[0].Item1)
                 {
                     correct++;
-
                 }
+                total++;
             });
 
-            var accuracy = (float)correct / dataset.Item1.Count;
+            var accuracy = (float)correct / total;
 
-            Assert.IsTrue(accuracy > 0.8);
+            Assert.IsTrue(accuracy > 0.5);
         }
 
         [TestMethod]