Classification results

The LightTwinSVM program saves classification results in an Excel file. Here, the description of each column of the Excel file for both binary and multi-class classification problems is given in below tables. It helps you analyze the classification results.

The description of the Excel file for a binary classification problem.

Column name	Description
accuracy	The overall classification accuracy
acc_std	The standard deviation of the overall classification accuracy
recall_p	The recall for the positive class
r_p_std	The standard deviation of the recall for the positive class
precision_p	The precision for the positive class
p_p_std	The standard deviation of the precision for the positive class
f1_p	The F1-measure for the positive class
f1_p_std	The standard deviation of the F1-measure for the positive class
recall_n	The recall for the negative class
r_n_std	The standard deviation of the recall for the negative class
precision_n	The precision for the negative class
p_n_std	The standard deviation of the precision for the negative class
f1_n	The F1-measure for the negative class
f1_n_std	The standard deviation of the F1-measure for the negative class
tp	True positive
tn	True negative
fp	False positive
fn	False negative
C1	The value of the first penalty parameter for TwinSVM
C2	The value of the second penalty parameter for TwinSVM
gamma	The value of RBF kernel’s parameter

The description of the Excel file for a multi-class classification problem.

Column name	Description
accuracy	The overall classification accuracy
acc_std	The standard deviation of the overall classification accuracy
micro_recall	The micro-averaged recall for all classes
m_rec_std	The standard deviation of the micro-averaged recall for all classes
micro_precision	The micro-averaged precision for all classes
m_prec_std	The standard deviation of the micro-averaged precision for all classes
mirco_f1	The micro-averaged F1-measure for all classes
m_f1_std	The standard deviation of the micro-averaged F1-measure for all classes
C1	The value of the first penalty parameter for TwinSVM
C2	The value of the second penalty parameter for TwinSVM
gamma	The value of RBF kernel’s parameter