Table 2: Result of the performance metrics of the algorithms in Python.
|
|
Accuracy |
Recall |
F1-Score |
Precision |
||||
|
|
10-fold split |
70% split |
10-fold split |
70% split |
10-fold split |
70% split |
10-fold split |
70% split |
|
DT |
0.94 |
0.96 |
0.93 |
0.96 |
0.93 |
0.96 |
0.93 |
0.96 |
|
SVM |
0.96 |
0.99 |
0.95 |
0.99 |
0.95 |
0.99 |
0.96 |
0.99 |
|
MLP |
0.93 |
0.98 |
0.92 |
0.97 |
0.92 |
0.97 |
0.93 |
0.97 |
|
NB |
0.937 |
0.93 |
0.886 |
0.93 |
0.911 |
0.926 |
0.945 |
0.924 |
|
RF |
0.97 |
0.96 |
0.97 |
0.95 |
0.97 |
0.95 |
0.96 |
0.96 |