added lab 5
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=== svm linear ===
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Confusion Matrix and Statistics
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Reference
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Prediction 1 2 3
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1 11 1 0
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2 0 13 0
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3 0 0 9
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Overall Statistics
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Accuracy : 0.9706
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95% CI : (0.8467, 0.9993)
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No Information Rate : 0.4118
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P-Value [Acc > NIR] : 3.92e-12
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Kappa : 0.9553
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Mcnemar's Test P-Value : NA
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Statistics by Class:
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Class: 1 Class: 2 Class: 3
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Sensitivity 1.0000 0.9286 1.0000
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Specificity 0.9565 1.0000 1.0000
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Pos Pred Value 0.9167 1.0000 1.0000
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Neg Pred Value 1.0000 0.9524 1.0000
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Prevalence 0.3235 0.4118 0.2647
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Detection Rate 0.3235 0.3824 0.2647
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Detection Prevalence 0.3529 0.3824 0.2647
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Balanced Accuracy 0.9783 0.9643 1.0000
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=== svm rbf ===
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Confusion Matrix and Statistics
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Reference
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Prediction 1 2 3
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1 11 1 0
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2 0 13 0
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3 0 0 9
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Overall Statistics
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Accuracy : 0.9706
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95% CI : (0.8467, 0.9993)
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No Information Rate : 0.4118
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P-Value [Acc > NIR] : 3.92e-12
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Kappa : 0.9553
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Mcnemar's Test P-Value : NA
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Statistics by Class:
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Class: 1 Class: 2 Class: 3
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Sensitivity 1.0000 0.9286 1.0000
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Specificity 0.9565 1.0000 1.0000
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Pos Pred Value 0.9167 1.0000 1.0000
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Neg Pred Value 1.0000 0.9524 1.0000
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Prevalence 0.3235 0.4118 0.2647
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Detection Rate 0.3235 0.3824 0.2647
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Detection Prevalence 0.3529 0.3824 0.2647
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Balanced Accuracy 0.9783 0.9643 1.0000
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=== random forest ===
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Confusion Matrix and Statistics
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Reference
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Prediction 1 2 3
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1 11 1 0
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2 0 13 0
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3 0 0 9
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Overall Statistics
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Accuracy : 0.9706
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95% CI : (0.8467, 0.9993)
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No Information Rate : 0.4118
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P-Value [Acc > NIR] : 3.92e-12
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Kappa : 0.9553
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Mcnemar's Test P-Value : NA
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Statistics by Class:
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Class: 1 Class: 2 Class: 3
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Sensitivity 1.0000 0.9286 1.0000
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Specificity 0.9565 1.0000 1.0000
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Pos Pred Value 0.9167 1.0000 1.0000
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Neg Pred Value 1.0000 0.9524 1.0000
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Prevalence 0.3235 0.4118 0.2647
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Detection Rate 0.3235 0.3824 0.2647
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Detection Prevalence 0.3529 0.3824 0.2647
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Balanced Accuracy 0.9783 0.9643 1.0000
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