Classification of Earthquake-Induced Damage for R/C Slab Column Frames Using Multiclass SVM and Its Combination with MLP Neural Network

Table 5

Properties of parameters used for evaluation of confusion matrix.

Name	Definition	Function
Sensitivity or recall (SEN)	The rate of true positive	SEN=TPTP+FN
Specificity (SPC)	The rate of true negative	SPC=TNFP+TN
Precision (PRE)	The fraction of observations classified as positive that are actually positive	PRE=TPTP+FP
Accuracy (ACC)	The proportion of the total number of predictions that are correct	ACC=TP+TNTP+TN+FP+FN
Error	The proportion of the total number of predictions that are incorrect	Error=FP+FNTP+TN+FP+FN
NPV	The negative predictive values	NPV=TNTN+FN
PPV	The positive predictive values	PPV=TPTP+FP