public void TestCalculateOverallProbability()
{
double prob = 0.3d;
WordProbability wp1 = new WordProbability("myWord1", prob);
WordProbability wp2 = new WordProbability("myWord2", prob);
WordProbability wp3 = new WordProbability("myWord3", prob);
WordProbability[] wps = new WordProbability[] { wp1, wp2, wp3 };
double errorMargin = 0.0001d;
double xy = (prob * prob * prob);
double z = (1 - prob) * (1 - prob) * (1 - prob);
double result = xy / (xy + z);
BayesianClassifier classifier = new BayesianClassifier();
Assert.AreEqual(result, classifier.CalculateOverallProbability(wps), errorMargin);
}
public void TestCalculateOverallProbability()
{
var prob = 0.3d;
var wp1 = new WordProbability("myWord1", prob);
var wp2 = new WordProbability("myWord2", prob);
var wp3 = new WordProbability("myWord3", prob);
var wps = new[] { wp1, wp2, wp3 };
var errorMargin = 0.0001d;
var xy = (prob * prob * prob);
var z = (1 - prob) * (1 - prob) * (1 - prob);
var result = xy / (xy + z);
var classifier = new BayesianClassifier();
Assert.AreEqual(result, classifier.CalculateOverallProbability(wps), errorMargin);
}