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Table 5 Precision of Training Set and Precision of Test Set

From: Construction and evaluation of a column chart model and a random forest model for predicting the prognosis of hydrodistention surgery in BPS/IC patients based on preoperative CD117, P2X3R, NGF, and TrkA levels

Training set accuracy

Test set accuracy

Accuracy: 0.999

Accuracy: 0.997

95% CI: (0.992, 1)

95% CI: (0.982, 1)

No Information Rate: 0.547

No Information Rate: 0.55

P-Value [Acc > NIR]: < 2e-16

P-Value [Acc > NIR]: < 2e-16

Kappa: 0.997

Kappa: 0.993

Mcnemar's Test P-Value: 1

Mcnemar's Test P-Value: 1

Sensitivity: 1.000

Sensitivity: 1.000

Specificity: 0.997

Specificity: 0.994

Pos Pred Value: 0.997

Pos Pred Value: 0.993

Neg Pred Value: 1.000

Neg Pred Value: 1.000

Prevalence: 0.453

Prevalence: 0.450

Detection Rate: 0.453

Detection Rate: 0.450

Detection Prevalence: 0.455

Detection Prevalence: 0.454

Balanced Accuracy: 0.999

Balanced Accuracy: 0.997