From the confusion matrix
, a high percentage of DSB-AM signals were misclassified as SSB-AM and SSB-AM as DSB-AM (Fig.
Our result is presented in the confusion matrix
presented in Fig.
8(b) illustrates corresponding ROC curve and confusion matrix
for KNORA-E dynamic ensemble selection technique respectively.
These data were used as input to run the confusion function for each of the classification techniques in order to generate the corresponding confusion matrixes
. From the confusion matrix
the percentage of correct classification (PCC) and the Kappa index (Tso & Mather, 2009) were calculated.
are the most important outputs, because it represents the connection between the class showed by HDI, also named as original class and the new class (predicted) computed using K-Means algorithm and new datasets: principal components (W) and factors (F).
Using the estimated regression coefficients and the observed data we created a confusion matrix
to study the classification rate for our model.
As an example Table IV contains the confusion matrix
of the first subject.
These counts are organized in a table known as a confusion matrix
. In this research each classification is considered as a two-class case with classes yes and no ("there are" or "there are not"), where each single classification has four different possible outcomes shown in the confusion matrix
for a binary classification of Table 1.
The average performance of the approach across the dataset (the performance for the dataset is reported in a confusion matrix
FOR GMM/SVM METHOD USING THE SHORT-TERM MFCC FEATURES IN FEMALE SPEAKERS.
The performance of each NN was measured by the confusion matrix
obtained in the classification of the test samples (Congalton, 1991).
Table 2 shows the confusion matrix
to present the results numerically.