Table 3 Classification accuracy for brain tumor statistical multi features dataset using CV classifiers.

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

0.972

0.977

0.005

0.995

0.989

0.977

0.0087

0.0824

34.9

0.977

BN

0.9633

0.969

0.006

0.994

0.986

0.969

0.0102

0.0994

0.32

0.970

PART

0.962

0.968

0.006

0.994

0.985

0.968

0.0117

0.1004

0.34

0.969

RT

0.9553

0.963

0.007

0.993

0.978

0.963

0.0124

0.1114

0.01

0.963

RFC

0.9203

0.934

0.013

0.987

0.960

0.934

0.0226

0.1486

0.01

0.934

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