results.txt

CLUSTER 4 RESULTS - SVM classifier
Precision: 99.54
Recall: 99.53
F-Score: 99.53

CLUSTER 0 RESULTS - SVM classifier
Precision: 95.01
Recall: 94.68
F-Score: 94.85

CLUSTER 1 RESULTS - SVM classifier
Precision: 98.57
Recall: 97.97
F-Score: 98.27

CLUSTER 5 RESULTS - SVM classifier
Precision: 98.12
Recall: 98.14
F-Score: 98.13

CLUSTER 3 RESULTS - SVM classifier
Precision: 98.55
Recall: 94.65
F-Score: 96.48

CLUSTER 2 RESULTS - SVM classifier
Precision: 47.67
Recall: 50.00
F-Score: 48.81

CLUSTER 4 RESULTS - MLP classifier
Precision: 99.51
Recall: 99.50
F-Score: 99.50

CLUSTER 0 RESULTS - MLP classifier
Precision: 95.78
Recall: 92.43
F-Score: 94.03

CLUSTER 1 RESULTS - MLP classifier
Precision: 98.54
Recall: 97.88
F-Score: 98.20

CLUSTER 5 RESULTS - MLP classifier
Precision: 98.51
Recall: 98.44
F-Score: 98.47

CLUSTER 3 RESULTS - MLP classifier
Precision: 98.73
Recall: 95.70
F-Score: 97.15

CLUSTER 2 RESULTS - MLP classifier
Precision: 47.56
Recall: 47.56
F-Score: 47.56

ALL CLUSTERS RESULTS - Alt. MLP classifier
Precision: 95.51
Recall: 95.51
F-Score: 95.51

CLUSTER 2 RESULTS - Alt. MLP classifier
Precision: 47.67
Recall: 50.00
Accuracy: 48.81