Comparison of ROC curves between the baseline and the algorithm proposed in this paper. by Ping Xia (220386)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis (AUC-ROC). by Audêncio Victor (10400699)

Supplementary Figure 7 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Supplementary Figure 6 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Supplementary Figure 1 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Supplementary Figure 2 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Supplementary Figure 3 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Supplementary Figure 4 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Supplementary Figure 5 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications by Seyyed Mahmood Ghasemi (20815345)

Prediction AUC of Strokeformer and the competitor methods on the ten large-scale binary classification datasets. by Maocheng Cao (22127378)

Prediction AUC of Strokeformer and the competitor methods on the nine small-scale binary classification datasets. by Maocheng Cao (22127378)

Performance metrics of best algorithms for multiclass classification by serogroup of bacterial meningitis with hyperparameter tuning. by Audêncio Victor (10400699)

Accuracy Results from Random Forest and Binary Logistic Regression Models by Data Types. by Anis Ben Ghorbal (22521828)

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Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

Information Value Scores (Binary Logistic Regression) and Feature Importance Scores (Random Forest) Across Features (for IVs from LR, a bar with dashed border indicates a significa... by Anis Ben Ghorbal (22521828)

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Logistic Classification Model of the Effort Expectancy. by Anis Ben Ghorbal (22521828)

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

t-SNE analysis experimental results, including the t-SNE experimental results before training, the experimental results after training of the original baseline training, and the ex... by Ping Xia (220386)

ROC Curve and Classification Thresholds [33–36]. by Anis Ben Ghorbal (22521828)

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