50 research outputs found
Comparison of the classification accuracy of different class imbalance models with classifiers on LIHC dataset.
Comparison of the classification accuracy of different class imbalance models with classifiers on LIHC dataset.</p
Number of original features (before PCA), and number of features after dimensionality reduction using PCA.
Number of original features (before PCA), and number of features after dimensionality reduction using PCA.</p
Comparison of recall of different class imbalance models with classifiers on LIHC dataset.
Comparison of recall of different class imbalance models with classifiers on LIHC dataset.</p
Summary of the classification performance on the datasets of different cancer types.
Summary of the classification performance on the datasets of different cancer types.</p
Comparison of F1 score of different class imbalance models with classifiers on LIHC dataset.
Comparison of F1 score of different class imbalance models with classifiers on LIHC dataset.</p
Comparison of the performance metrics of different classifiers for LIHC.
Comparison of the performance metrics of different classifiers for LIHC.</p
Comparison of the performance metrics of different classifiers for COAD.
Comparison of the performance metrics of different classifiers for COAD.</p
Comparison of precision of different class imbalance models with classifiers on LIHC dataset.
Comparison of precision of different class imbalance models with classifiers on LIHC dataset.</p
Comparison of the performance metrics of different classifiers for BRCA.
Comparison of the performance metrics of different classifiers for BRCA.</p
Summary of SMOTE’s effect on different cancer types.
Summary of SMOTE’s effect on different cancer types.</p