public void DonskoyIndex_Calculate_3C()
{
var index = new DonskoyIndex <double[]>();
var p1 = SimplePattern(0, -0.5F);
var p2 = SimplePattern(0, 0.5F);
var p3 = SimplePattern(0, 1.5F);
var p4 = SimplePattern(0, 2.5F);
var p5 = SimplePattern(0, 3.5F);
var p6 = SimplePattern(0, 4.5F);
var p7 = SimplePattern(0, 5.5F);
var i1 = index.Calculate(p1, SAMPLE_3C);
var i2 = index.Calculate(p2, SAMPLE_3C);
var i3 = index.Calculate(p3, SAMPLE_3C);
var i4 = index.Calculate(p4, SAMPLE_3C);
var i5 = index.Calculate(p5, SAMPLE_3C);
var i6 = index.Calculate(p6, SAMPLE_3C);
var i7 = index.Calculate(p7, SAMPLE_3C);
Assert.AreEqual(i1, 0);
Assert.AreEqual(i2, 4);
Assert.AreEqual(i3, 8);
Assert.AreEqual(i4, 8);
Assert.AreEqual(i5, 8);
Assert.AreEqual(i6, 4);
Assert.AreEqual(i7, 0);
}
private void doDecisionTreeAlgorithmTest()
{
var patterns = getSimpleLogicPatterns();
var alg = new DecisionTreeID3Algorithm <double[]>(Data.TrainingSample);
var informativity = new DonskoyIndex <double[]>();
alg.Train(patterns, informativity);
outputError(alg);
Visualizer.Run(alg);
}
