private void btnmodelEvaluation_Click(object sender, System.EventArgs e)
{
var ret = EvaluateResults();
if (EvaluateResults != null && ret != null)
{
//
if (Parameters.OutputType == BasicTypes.ColumnType.Numeric)
{
RModelEvaluation dlg = new RModelEvaluation();
dlg.Evaluate(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray(),
ret.ContainsKey("obs_test") ? ret["obs_test"].Select(x => (double)x).ToArray() : null,
ret.ContainsKey("prd_test") ? ret["prd_test"].Select(x => (double)x).ToArray() : null);
dlg.ShowDialog();
}
else if (Parameters.OutputType == BasicTypes.ColumnType.Binary || (ret.ContainsKey("Classes") && ret["Classes"].Count() == 2))
{
BModelEvaluation dlg = new BModelEvaluation();
var cl = ret["Classes"].Select(x => x.ToString()).ToArray();
dlg.loadClasses(cl);
dlg.loadData(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray(),
ret.ContainsKey("obs_test") ? ret["obs_test"].Select(x => (double)x).ToArray() : null,
ret.ContainsKey("prd_test") ? ret["prd_test"].Select(x => (double)x).ToArray() : null);
dlg.ShowDialog();
}
else
{
MModelEvaluation dlg = new MModelEvaluation();
var cl = ret["Classes"].Select(x => x.ToString()).ToArray();
dlg.loadClasses(cl);
dlg.loadData(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray(),
ret.ContainsKey("obs_test") ? ret["obs_test"].Select(x => (double)x).ToArray() : null,
ret.ContainsKey("prd_test") ? ret["prd_test"].Select(x => (double)x).ToArray() : null);
dlg.ShowDialog();
}
}
else
{
MessageBox.Show("Evaluation process is not initialized.");
}
}
private void button6_Click(object sender, EventArgs e)
{
BModelEvaluation dlg = new BModelEvaluation();
double[] y1 = new double[6] {
0, 1, 1, 0, 1, 1
};
double[] y2 = new double[6] {
0.103345, 0.816285, 0.36523, 0.164645, 0.988035, 0.963756
};
double[] y11 = new double[] { 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1 };
double[] y21 = new double[] { 0.583333, 0, 1, 0.1026, 0.058482, 0.222538, 0, 0.306647, 0.05, 0.345238, 0, 0.45, 0.137926, 0.291667, 0, 1, 0.137926, 0.055871, 0, 0, 0.46875, 0.479167, 0, 0.125, 0, 0, 0.240183, 0.270833, 0.125, 1, 0.5625, 0.1026, 1, 0.125, 0.375, 1, 0.137926, 0.240183, 0.275984, 0.5, 0.137926, 0.625, 0.5, 0.5, 0.875, 0, 0.875, 0.765625, 0.137926, 0.875, 1, 0.375, 1, 0.1026, 0.45, 0.583333, 0.351637, 1, 0.1026, 0, 0.6875, 0.25, 0, 0.625, 0, 0.1026, 0.649777, 1, 0.202232, 0, 0, 0, 0.479167, 0.375, 0.25, 1, 0.17748, 0.125, 0.5625, 0.1026, 0.75463, 0, 0, 0, 1, 0.1026, 1, 0.458333, 0.1026, 1, 0.875, 1 };
dlg.loadClasses(new string[] { "FALSE", "TRUE" });
dlg.loadData(y11, y21, null, null);
dlg.ShowDialog();
}
private void ROCCurve_Click(object sender, RoutedEventArgs e)
{
if (!(this.DataContext is Models.ModelPerformance))
{
return;
}
var modelPerf = (Models.ModelPerformance) this.DataContext;
var ret = ((Models.ModelPerformance) this.DataContext).PerformanceData;
BModelEvaluation dlg = new BModelEvaluation();
dlg.Text = $"Model performance for {modelPerf.DatSetName}.";
var cl = ret["Classes"].Select(x => x.ToString()).ToArray();
dlg.loadClasses(cl);
dlg.loadData(ret["obs_train"].Select(x => (double)x).ToArray(), ret["prd_train"].Select(x => (double)x).ToArray(), null, null);
dlg.ShowDialog();
}
