This repository has been archived on 2026-05-09. You can view files and clone it. You cannot open issues or pull requests or push a commit.
Files
Data-Analytics/Lab 5/lab5_confusion_matrices.txt
T
2025-11-04 21:00:48 -05:00

96 lines
3.0 KiB
Plaintext

=== svm linear ===
Confusion Matrix and Statistics
Reference
Prediction 1 2 3
1 11 1 0
2 0 13 0
3 0 0 9
Overall Statistics
Accuracy : 0.9706
95% CI : (0.8467, 0.9993)
No Information Rate : 0.4118
P-Value [Acc > NIR] : 3.92e-12
Kappa : 0.9553
Mcnemar's Test P-Value : NA
Statistics by Class:
Class: 1 Class: 2 Class: 3
Sensitivity 1.0000 0.9286 1.0000
Specificity 0.9565 1.0000 1.0000
Pos Pred Value 0.9167 1.0000 1.0000
Neg Pred Value 1.0000 0.9524 1.0000
Prevalence 0.3235 0.4118 0.2647
Detection Rate 0.3235 0.3824 0.2647
Detection Prevalence 0.3529 0.3824 0.2647
Balanced Accuracy 0.9783 0.9643 1.0000
=== svm rbf ===
Confusion Matrix and Statistics
Reference
Prediction 1 2 3
1 11 1 0
2 0 13 0
3 0 0 9
Overall Statistics
Accuracy : 0.9706
95% CI : (0.8467, 0.9993)
No Information Rate : 0.4118
P-Value [Acc > NIR] : 3.92e-12
Kappa : 0.9553
Mcnemar's Test P-Value : NA
Statistics by Class:
Class: 1 Class: 2 Class: 3
Sensitivity 1.0000 0.9286 1.0000
Specificity 0.9565 1.0000 1.0000
Pos Pred Value 0.9167 1.0000 1.0000
Neg Pred Value 1.0000 0.9524 1.0000
Prevalence 0.3235 0.4118 0.2647
Detection Rate 0.3235 0.3824 0.2647
Detection Prevalence 0.3529 0.3824 0.2647
Balanced Accuracy 0.9783 0.9643 1.0000
=== random forest ===
Confusion Matrix and Statistics
Reference
Prediction 1 2 3
1 11 1 0
2 0 13 0
3 0 0 9
Overall Statistics
Accuracy : 0.9706
95% CI : (0.8467, 0.9993)
No Information Rate : 0.4118
P-Value [Acc > NIR] : 3.92e-12
Kappa : 0.9553
Mcnemar's Test P-Value : NA
Statistics by Class:
Class: 1 Class: 2 Class: 3
Sensitivity 1.0000 0.9286 1.0000
Specificity 0.9565 1.0000 1.0000
Pos Pred Value 0.9167 1.0000 1.0000
Neg Pred Value 1.0000 0.9524 1.0000
Prevalence 0.3235 0.4118 0.2647
Detection Rate 0.3235 0.3824 0.2647
Detection Prevalence 0.3529 0.3824 0.2647
Balanced Accuracy 0.9783 0.9643 1.0000