Algorithm 3. ModelConstruction().

<p>Algorithm 3. ModelConstruction().</p

Algorithm 2. ApplicableKernelIdentification().

<p>Algorithm 2. ApplicableKernelIdentification().</p

The classification performance (ARR) of SVM with the real best kernel vs. with the recommended kernels.

<p>The classification performance (ARR) of SVM with the real best kernel vs. with the recommended kernels.</p

Algorithm 1. PerformanceEvaluation().

<p>Algorithm 1. PerformanceEvaluation().</p

Description of the 132 data sets.

<p>Description of the 132 data sets.</p

Comparison of different feature selection methods in terms of <i>HR</i>, <i>Precision</i> and <i>ARR</i>.

<p>Comparison of different feature selection methods in terms of <i>HR</i>, <i>Precision</i> and <i>ARR</i>.</p

Comparison of different recommendation methods in terms of <i>HR</i>.

<p>Comparison of different recommendation methods in terms of <i>HR</i>.</p

Framework of the kernel recommendation method.

<p>Framework of the kernel recommendation method.</p

Data characteristic measures.

<p>Data characteristic measures.</p

Comparison of different recommendation methods in terms of overall classification performance (<i>ARR</i>).

<p>Comparison of different recommendation methods in terms of overall classification performance (<i>ARR</i>).</p