MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”

Binary classification predictions. by Thierry Jean (20691795)

Binary classification task performance. by Thierry Jean (20691795)

Binary contingency table. by Lu Xiao (314030)

Diagnostic performance for determining malignancy; binary classification. by Seung Seog Han (4782486)

Urgent versus nonurgent binary classification performance. by Kyung Won Kwon (18150416)

ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The model further showed superior results on binary classification compared with existing methods. …”

Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

“…The model further showed superior results on binary classification compared with existing methods. …”

Relationship between ordinal regression and binary classification performance. by Thierry Jean (20691795)

“…<p>For each of the 60 conditions (10 mental states x 2 algorithms x 3 forecast horizons), the performance of the ordinal regression model (y-axis) is displayed against the binary classification model (x-axis) under the same condition. …”

Binary confusion matrix. by Chen Zhu (445894)

Model 1: All Variables for binary classification. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm by Ge Zhang (112487)

“…A pre-screening method of feature ranking which is based on information gain (IG) and an improved binary krill herd (MBKH) algorithm are integrated in this strategy. …”

Confusion matrix for a binary outcome (adapted from Fawcett [30]). by João Albuquerque (12936572)

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)