private void PlotLearningCurve(Testing.CurvePoint[] learningCurve, out GraphForm graphFormS, out GraphForm graphFormFn, out GraphForm graphFormFp, double[] simpleAlgorithm, bool excludeLearnedFromTestingSet)
{
// Create 3 new graphs
GraphForm.GraphPlot graphSuccess = new GraphForm.GraphPlot("TrainingSet", "Success");
GraphForm.GraphPlot graphFN = new GraphForm.GraphPlot("TrainingSet", "False Negative");
GraphForm.GraphPlot graphFP = new GraphForm.GraphPlot("TrainingSet", "False Positive");
graphSuccess.setUsedForLearningCurve(true);
graphFN.setUsedForLearningCurve(true);
graphFP.setUsedForLearningCurve(true);
// add point (0,0)
graphSuccess.addPoint(0, 0, "", Color.Black);
graphFN.addPoint(0, 0, "", Color.Black);
graphFP.addPoint(0, 0, "", Color.Black);
foreach (Testing.CurvePoint p in learningCurve)
{
graphSuccess.addPoint(p.getTrainingSetPercentage(), p.getAvgPercentageCorrect(), Math.Round(p.getStdPercentageCorrect(), 2).ToString(), Color.Black);
graphFN.addPoint(p.getTrainingSetPercentage(), p.getAvgPercentageFalseNegative(), Math.Round(p.getStdPercentageFalseNegative(), 2).ToString(), Color.Black);
graphFP.addPoint(p.getTrainingSetPercentage(), p.getAvgPercentageFalsePositive(), Math.Round(p.getStdPercentageFalsePositive(), 2).ToString(), Color.Black);
}
// add point (100,100) or (100,0)
graphSuccess.addPoint(100, 100, "", Color.Black);
graphFN.addPoint(100, 0, "", Color.Black);
graphFP.addPoint(100, 0, "", Color.Black);
//add comparison line for statistical simple algorithms
string partially = (excludeLearnedFromTestingSet) ? "" : "partially_statistical";
graphSuccess.addComparisonLines(simpleAlgorithm[0], "statistical", partially);
graphFN.addComparisonLines(simpleAlgorithm[1], "statistical", partially);
graphFP.addComparisonLines(simpleAlgorithm[2], "statistical", partially);
// Draw
graphFormS = new GraphForm(graphSuccess);
graphFormFn = new GraphForm(graphFN);
graphFormFp = new GraphForm(graphFP);
graphFormS.Show();
graphFormFn.Show();
graphFormFp.Show();
}
