public void RocAucClassificationMetric_ErrorString()
{
var targets = new double[] { 0, 1 };
var probabilities = new ProbabilityPrediction[] { new ProbabilityPrediction(0, new Dictionary <double, double> {
{ 0, 0 }, { 1.0, 0.0 }
}), new ProbabilityPrediction(1, new Dictionary <double, double> {
{ 0, 0.0 }, { 1.0, 1 }
}) };
var sut = new RocAucClassificationProbabilityMetric(1);
var actual = sut.ErrorString(targets, probabilities);
var expected = ";0;1;0;1\r\n0;1.000;0.000;100.000;0.000\r\n1;0.000;1.000;0.000;100.000\r\nError: 0.000\r\n";
Assert.AreEqual(expected, actual);
}
public void RocAucClassificationMetric_ErrorString_TargetStringMapping()
{
var targets = new double[] { 0, 1 };
var probabilities = new ProbabilityPrediction[] { new ProbabilityPrediction(0, new Dictionary <double, double> {
{ 0, 0 }, { 1.0, 0.0 }
}), new ProbabilityPrediction(1, new Dictionary <double, double> {
{ 0, 0.0 }, { 1.0, 1 }
}) };
var sut = new RocAucClassificationProbabilityMetric(1);
var targetStringMapping = new Dictionary <double, string> {
{ 0, "Negative" }, { 1, "Positive" }
};
var actual = sut.ErrorString(targets, probabilities, targetStringMapping);
var expected = ";Negative;Positive;Negative;Positive\r\nNegative;1.000;0.000;100.000;0.000\r\nPositive;0.000;1.000;0.000;100.000\r\nError: 0.000\r\n";
Assert.AreEqual(expected, actual);
}