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Table 3 Performance parameters, sensitivity, and precision of the decision trees

From: The use of knowledge extraction in predicting customer churn in B2B

Decision tree 0.1%

Model 1

Model 2

Model 3

Model 4

Model 5

Threshold

0.4855

0.089

0.591

0.852

0.237

Precision

0.827

1.839

0.326

1.660

0.517

Sensitivity

0.033

1.780

2.159

0.557

0.271

Kappa

0.088

0.145

0.283

0.922

0.048

Decision tree 1%

Model 1

Model 2

Model 3

Model 4

Model 5

Threshold

0.428

0.190

0.284

0.808

0.938

Precision

0.226

0.142

2.526

1.114

0.198

Sensitivity

0.751

1.183

1.292

0.759

0.973

Kappa

0.257

0.499

0.704

0.148

1.587