public void PrecisionMetric_Not_Different_Lengths()
{
var targets = new double[] { 0, 1, 1, 1 };
var predictions = new double[] { 0, 1, 1, 1, 0 };
var sut = new PrecisionMetric <double>(1);
var actual = sut.Error(targets, predictions);
}
public void PrecisionMetric_Not_Binary()
{
var targets = new double[] { 0, 1, 1, 2 };
var predictions = new double[] { 0, 1, 1, 2 };
var sut = new PrecisionMetric <double>(1);
var actual = sut.Error(targets, predictions);
}
public void PrecisionMetric_Error_All_Positive()
{
var targets = new double[] { 0, 0, 0, 0, 0, 0, 0, 1 };
var predictions = new double[] { 1, 1, 1, 1, 1, 1, 1, 1 };
var sut = new PrecisionMetric <double>(1);
var actual = sut.Error(targets, predictions);
Assert.AreEqual(0.875, actual);
}
public void PrecisionMetric_All_Error()
{
var targets = new double[] { 0, 1, 0 };
var predictions = new double[] { 1, 0, 1 };
var sut = new PrecisionMetric <double>(1);
var actual = sut.Error(targets, predictions);
Assert.AreEqual(1.0, actual);
}
public void PrecisionMetric_ErrorString()
{
var targets = new double[] { 0, 1, 0 };
var predictions = new double[] { 1, 0, 1 };
var sut = new PrecisionMetric <double>(1);
var actual = sut.ErrorString(targets, predictions);
var expected = ";0;1;0;1\r\n0;0.000;2.000;0.000;100.000\r\n1;1.000;0.000;100.000;0.000\r\nError: 100.000\r\n";
Assert.AreEqual(expected, actual);
}
public void PrecisionMetric_ErrorString_TargetStringMapping()
{
var targets = new double[] { 0, 1, 0 };
var predictions = new double[] { 1, 0, 1 };
var targetStringMapping = new Dictionary <double, string> {
{ 0, "Negative" }, { 1, "Positive" }
};
var sut = new PrecisionMetric <double>(1);
var actual = sut.ErrorString(targets, predictions, targetStringMapping);
var expected = ";Negative;Positive;Negative;Positive\r\nNegative;0.000;2.000;0.000;100.000\r\nPositive;1.000;0.000;100.000;0.000\r\nError: 100.000\r\n";
Assert.AreEqual(expected, actual);
}