Table 12 Correlation between experimental properties and entropies (cubic regression model).

From: Applications of Sombor topological indices and entropy measures for QSPR modeling of anticancer drugs: a Python-based methodology

 

BP

MR

HAC

EM

FP

P

\(\mathcal {I}_{SO}\)

0.9153

0.9745

0.9952

0.9792

0.9205

0.9744

\(\mathcal {I}_{RSO}\)

0.9156

0.9734

0.9952

0.9797

0.9207

0.9732

\(\mathcal {I}_{mSO}\)

0.9149

0.9746

0.9953

0.9794

0.9202

0.9745

\(\mathcal {I}_{mRSO}\)

0.9132

0.9738

0.9953

0.9803

0.9187

0.9736

\(\mathcal {I}_{BSO_1}\)

0.913

0.9796

0.9948

0.9783

0.9188

0.9795

\(\mathcal {I}_{BSO_2}\)

0.9152

0.9784

0.9947

0.978

0.9207

0.9783

\(\mathcal {I}_{ESO}\)

0.9161

0.9766

0.9956

0.9802

0.9211

0.9765

\(\mathcal {I}_{EUSO}\)

0.9153

0.9751

0.9953

0.9793

0.9206

0.975

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