Table 8 NasNetMobile ablation study statistical scores for various deep learning models with accuracy metric.

From: Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approaches

Layers

Mean

Std dev

Skewness

Kurtosis

Median

Variance

NASNET + ANN

0.983686

0.006735

0.08007

 − 1.03788

0.982405

0.000045

NASNET + DNN

0.920355

0.015769

0.028486

0.496725

0.920821

0.000249

NASNET + CNN

0.911891

0.022446

 − 0.18647

 − 0.99834

0.920821

0.000504

NASNET + LSTM

0.978239

0.006524

 − 0.26605

 − 1.04714

0.97654

0.000043

NASNET + CNN + LSTM

0.921137

0.016125

0.107479

 − 0.89426

0.920821

0.00026

NASNET + CHANNEL ATTENTION + CNN

0.984268

0.008081

 − 0.28296

 − 1.13235

0.979412

0.000065

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