public static DTOs.Responses.LogisticRegressionResult ToDto(this LogisticRegression logisticRegression)
{
return(new DTOs.Responses.LogisticRegressionResult
{
OddsRatio = logisticRegression.GetOddsRatio(),
StandardErrors = logisticRegression.GetStandardErrors(),
Regression = logisticRegression.LinearRegressionResult.ToDto()
});
}
public void When_Compute_Logistic_Regression()
{
double[][] inputs =
{
new double[] { 55, 0 },
new double[] { 28, 0 },
new double[] { 65, 1 },
new double[] { 46, 0 },
new double[] { 86, 1 },
new double[] { 56, 1 },
new double[] { 85, 0 },
new double[] { 33, 0 },
new double[] { 21, 1 },
new double[] { 42, 1 }
};
double[] outputs =
{
0, 0, 0, 1, 1, 1, 0, 0, 0, 1
};
var logisticRegression = new LogisticRegression();
logisticRegression.Regress(inputs, outputs);
var result = logisticRegression.Compute(new double[] { 87, 1 });
var oddsRatio = logisticRegression.GetOddsRatio();
var standardErrors = logisticRegression.GetStandardErrors();
Assert.Equal(0.75143272858390264, result);
Assert.Equal(0.085627701183141239, oddsRatio[0]);
Assert.Equal(1.0208597029292656, oddsRatio[1]);
Assert.Equal(5.8584748981778869, oddsRatio[2]);
Assert.Equal(2.1590686019476122, standardErrors[0]);
Assert.Equal(0.0337904223210436, standardErrors[1]);
Assert.Equal(1.4729903935788495, standardErrors[2]);
}
