diff --git a/test/test-c45.js b/test/test-c45.js
new file mode 100644
index 0000000..38a4e75
--- /dev/null
+++ b/test/test-c45.js
@@ -0,0 +1,65 @@
+// Test 1
+var training_data = [
+  	{"color":"blue", "shape":"square", "liked":false},
+  	{"color":"red", "shape":"square",  "liked":false},
+  	{"color":"blue", "shape":"circle", "liked":true},
+  	{"color":"red", "shape":"circle", "liked":true},
+  	{"color":"blue", "shape":"hexagon", "liked":false},
+  	{"color":"red", "shape":"hexagon", "liked":false},
+  	{"color":"yellow", "shape":"hexagon", "liked":true},
+  	{"color":"yellow", "shape":"circle", "liked":true}
+]
+
+var test_data = [
+  	{"color":"blue", "shape":"hexagon", "liked":false},
+  	{"color":"red", "shape":"hexagon", "liked":false},
+  	{"color":"yellow", "shape":"hexagon", "liked":true},
+  	{"color":"yellow", "shape":"circle", "liked":true}
+  ];
+
+var target = "liked";
+var features = ["color", "shape"];
+var model = ml.learn({
+ algorithm:ml.ML.C45,
+ data:training_data,
+ target:target,
+ features:features
+})
+
+print(ml.print(model))
+print(toJSON(model).length+' Bytes')
+print(ml.classify(model,test_data))
+
+// Test 2
+var A='A',B='B',C='C',False=false,True=true,CLASS1='CLASS1',CLASS2='CLASS2';
+training_data = [
+[A,70,True,CLASS1],
+[A,90,True,CLASS2],
+[A,85,False,CLASS2],
+[A,95,False,CLASS2],
+[A,70,False,CLASS1],
+[B,90,True,CLASS1],
+[B,78,False,CLASS1],
+[B,65,True,CLASS1],
+[B,75,False,CLASS1],
+[C,80,True,CLASS2],
+[C,70,True,CLASS2],
+[C,80,False,CLASS1],
+[C,80,False,CLASS1],
+[C,96,False,CLASS1],
+]
+
+test_data = [
+  [B,71,False],
+  [C,70,True],
+]
+      
+model = ml.learn({
+ algorithm:ml.ML.C45,
+ data:training_data
+})
+
+
+print(ml.print(model))
+print(ml.classify(model,test_data))
+