Algorithm 1: Correlation-based feature selection (CFS) working algorithm.

Input of data: S (A1, A2, A3, A4, C) // Clean dataset $\delta$// Benchmark threshold value Output: $S_{opt}$ Optimal Features vector Start For I = 1 to N do start Measure $S{U}_{i,c}$ for every attribute $A_i$; If ($S{U}_{i,c}\ge \delta$) Then, Append $A_i$ to list $S_{list}^{{}^{\prime }}$; end