Algorithm 2: Preprocessing data.

Input: User channel data and RIS phase shift   Output: Return filled missing values, labeled data, and normalized values. // Step 1. Filling Missing Values:   1:  For future of dataset: =fd to Fd    // fd is future of da-taset   2:    For sample: = sd to Sd   // sd is sample of dataset   3:      If fd is missing:   4:        Replace the missing value by −6   5:       end if   6:    end for   7:  end for // Step 2. Data Labeling:   1: For sample: = sd to Sd   2:    Label the SNR to LQI based on the above range   3:    Assign the corresponding label to the sample   4:  end for // Step 3. Data Normalization:   1:  For the future of the dataset: =fd to Fd   2:      For sample: = sd to Sd   3:        Normalize the value of the feature using the (16)   4:       end for   5:  end for