… The binary bat algorithm was proposed in [41]. The authors of … of the SSA based on a
modified Arctan transformation [58]. … datasets, the Wisconsin Diagnostic Breast Cancer (Wdbc) is …

… dataset and are still able to maintain the model’s accuracy. Due to its strength, this study
focuses on feature selection problems with metaheuristic algorithms… ,it cannot be further modified…

… the Wisconsin Breast Cancer Dataset (WBCD), the algorithm … CART algorithm equipped with
feature selection had yielded … dataset’s continuous and integer features would be modified …

… M for a dataset with N samples and M dimensions (or features). … of the Bat Algorithm (BA)
is suggested to solve feature selection … An automatic breast cancer diagnosis framework was …

… , based upon the bat algorithm to remove the irrelevant features that affect the … Modified
bat algorithm for feature selection with the wisconsin diagnosis breast cancer (WDBC) dataset…

… in its performance by making modifications to its parameters. … As a result, to address the
feature selection problem in this … as Sentiment Polarity datasets v2.0 feature selection datasets. …

… used to select a proper feature which is called as feature selection process. … Modified bat
algorithm for feature selection with the Wisconsin Diagnosis Breast Cancer (WDBC) dataset…

… a modified bat algorithm for feature selection, to remove irrelevant features from the feature
set. After … Our experiment, evaluated on Wisconsin breast cancer diagnostic dataset. …

… Since feature selection needs to be accomplished to eradicate … the datasets efficiently.
Therefore, this paper reviews various optimization algorithms used for novel feature selection. …

… study utilised four breast cancer datasets: the wisconsin breast cancer dataset (… Modified
bat algorithm for feature selection with the Wisconsin Diagnosis Breast Cancer (WDBC) dataset…