Table 7 Classification accuracy for brain tumor optimized statistical multi features validation dataset.

From: Computer vision based efficient segmentation and classification of multi brain tumor using computed tomography images

Classifiers

Kappa Statistics

Sensitivity (TP Rate)

FP Rate

Specificity

(1-FP Rate)

ROC

Recall

MAE

RMSE

Time (Sec)

Precision

MLP

0.956

0.963

0.007

0.993

0.993

0.963

0.0303

0.1054

0.2

0.964

BN

0.968

0.973

0.005

0.995

0.996

0.973

0.0089

0.0943

0.01

0.973

PART

0.968

0.973

0.005

0.995

0.986

0.973

0.0123

0.0934

0.01

0.974

RT

0.960

0.967

0.007

0.993

0.980

0.967

0.0111

0.1054

0.01

0.967

RFC

0.940

0.950

0.010

0.990

0.970

0.950

0.0223

0.1279

0.00

0.950

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