Table 42.

Multi-class weighted classes results.

Algorithms Used	Accuracy	Precision	Recall	F1 Score	Log Loss	CKS
KNN [14]	n/a	n/a	n/a	n/a	n/a	n/a
SVM [57]	n/a	n/a	n/a	n/a	n/a	n/a
DT [19]	0.92	0.92	0.92	0.92	0.46	0.90
NB [58]	n/a	n/a	n/a	n/a	n/a	n/a
RF [24]	0.86	0.86	0.86	0.86	0.79	0.83
ANN [25]	0.97	0.97	0.97	0.97	0.063	0.97
LR [31]	0.69	0.69	0.69	0.69	0.75	0.63