SampleApp.MainForm.btnClassify_Click C# (CSharp) Method

btnClassify_Click() private method

Classifies images into one of the possible classes using the Support Vector Machines learned in the previous steps.
private btnClassify_Click ( object sender, EventArgs e ) : void
sender object
e EventArgs
return void
        private void btnClassify_Click(object sender, EventArgs e)
        {
            int trainingHits = 0;
            int trainingMiss = 0;

            int testingHits = 0;
            int testingMiss = 0;

            // For each image group (i.e. flowers, dolphins)
            foreach (ListViewGroup group in listView1.Groups)
            {
                // For each image item in the group
                foreach (ListViewItem item in group.Items)
                {
                    var info = item.Tag as Tuple<double[], int>;
                    double[] input = info.Item1;
                    int expected = info.Item2;

                    // Classify into one of the classes
                    int actual = ksvm.Compute(input);

                    // Check if we did a correct classification
                    if (expected == actual)
                    {
                        // Yes, we did! Change color to green
                        item.BackColor = Color.LightGreen;
                        if (item.Group.Name.EndsWith(".train"))
                            trainingHits++;
                        else testingHits++;
                    }
                    else
                    {
                        // No, we didn't :( change to red
                        item.BackColor = Color.Firebrick;
                        if (item.Group.Name.EndsWith(".train"))
                            trainingMiss++;
                        else testingMiss++;
                    }
                }
            }

            int trainingTotal = trainingHits + trainingMiss;
            int testingTotal = testingHits + testingMiss;
            lbStatus.Text = String.Format("Classification complete. " +
               "Training: {0}/{1} ({2:00.00}%) hits. Testing: {3}/{4} ({5:00.00}%) hits.",
               trainingHits, trainingTotal, 100 * trainingHits / (double)(trainingTotal),
               testingHits, testingTotal, 100 * testingHits / (double)(testingTotal));
        }
MainForm