From 79c2af1c138f1b539da16c1171da7cd0ce88173f Mon Sep 17 00:00:00 2001
From: sbosse <sbosse@uni-bremen.de>
Date: Tue, 27 Aug 2024 00:14:59 +0200
Subject: [PATCH] Tue 27 Aug 00:14:56 CEST 2024

---
 test/test-id3-2.js | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 test/test-id3-2.js

diff --git a/test/test-id3-2.js b/test/test-id3-2.js
new file mode 100644
index 0000000..07d5269
--- /dev/null
+++ b/test/test-id3-2.js
@@ -0,0 +1,34 @@
+var data = load('test-data-iris.json')
+var t0=time()
+var target = "species";
+var features = ["length", "width","petal_length","petal_width"];
+var datac = ml.preprocess(data,'xy',{features:features,target:target});
+
+var model = ml.learn({
+ algorithm:ml.ML.ID3,
+ data:data,
+ target:target,
+ features:features
+})
+var t1=time()
+var result = ml.classify(model,datac.x).map(function (r,i) { 
+  return {value:r,y:datac.y[i]}} )
+var t2=time()
+var correct=0,wrong=0;
+result.forEach(function (r) { if (r.value==r.y) correct++; else wrong++ });
+print('Training Data Test: Correct='+correct+', wrong='+wrong);
+print(toJSON(model).length)
+print(t1-t0,t2-t1)
+datac.x = ml.noise(datac.x,
+  {length:0.2,
+   width:0.1,
+   petal_length:0.05,
+   petal_width:0.01
+});
+
+// print(datac.x)
+var result = ml.classify(model,datac.x).map(function (r,i) { 
+  return {value:r,y:datac.y[i]}} )
+correct=0,wrong=0;
+result.forEach(function (r) { if (r.value==r.y) correct++; else wrong++ });
+print('Test Data Test (Noise): Correct='+correct+', wrong='+wrong);