public void TestEvaluate()
{
DataModel model = GetDataModel();
RecommenderBuilder builder = new SlopeOneRecommenderBuilder();
RecommenderIRStatsEvaluator evaluator = new GenericRecommenderIRStatsEvaluator();
IRStatistics stats = evaluator.Evaluate(builder, model, 5, 0.2, 1.0);
Assert.IsNotNull(stats);
Assert.AreEqual(0.2, stats.Precision, EPSILON);
Assert.AreEqual(1.0, stats.Recall, EPSILON);
Assert.AreEqual(0.33333, stats.GetF1Measure(), EPSILON);
}
public void testBoolean()
{
IDataModel model = getBooleanDataModel();
IRecommenderBuilder builder = new TestRecommenderBuilder();
IDataModelBuilder dataModelBuilder = new TestDataModelBuilder();
IRecommenderIRStatsEvaluator evaluator = new GenericRecommenderIRStatsEvaluator();
IRStatistics stats = evaluator.Evaluate(
builder, dataModelBuilder, model, null, 1, GenericRecommenderIRStatsEvaluator.CHOOSE_THRESHOLD, 1.0);
Assert.NotNull(stats);
Assert.AreEqual(0.666666666, stats.GetPrecision(), EPSILON);
Assert.AreEqual(0.666666666, stats.GetRecall(), EPSILON);
Assert.AreEqual(0.666666666, stats.GetF1Measure(), EPSILON);
Assert.AreEqual(0.666666666, stats.GetFNMeasure(2.0), EPSILON);
Assert.AreEqual(0.666666666, stats.GetNormalizedDiscountedCumulativeGain(), EPSILON);
}
