Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Numerical example for determining the optimal number of clusters in Algorithm 2. حسب Yi Wei Tye (22208735)

Binary contingency table. حسب Lu Xiao (314030)

Top-performing model configuration and performance by algorithm type. حسب Uğur Ejder (22683228)

الموضوعات:

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Flow diagram of the proposed model. حسب Uğur Ejder (22683228)

الموضوعات:

Convergence curve of feature selection algorithms across 11 datasets with KNN classifier. حسب Yi Wei Tye (22208735)

The comparison of the accuracy score of the benchmark and the proposed models. حسب Uğur Ejder (22683228)

الموضوعات:

The prediction accuracy of simple versus hybrid models. حسب Uğur Ejder (22683228)

الموضوعات:

The accuracy score change matrix following model development. حسب Uğur Ejder (22683228)

الموضوعات:

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). حسب Uğur Ejder (22683228)

الموضوعات:

The statistical description of the original data set of the patients (<i>n</i> = 162). حسب Uğur Ejder (22683228)

الموضوعات:

Confusion matrix of the ABC–LR–RF hybrid model for IVF outcome prediction. حسب Uğur Ejder (22683228)

الموضوعات: