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. …”

Applying the proposed image enhancement algorithm. by Nicodemus Songose Awarayi (18414494)

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

Framework of the proposed model. by Rajan Vohra (10689820)

The workflow of SCARS-Logistic algorithm. by Maryam Sadiq (7046903)

Structure of the proposed hybrid CNN-SVD-based ensemble model for lung cancer classification. by Md. Sabbir Hossain (9958939)

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)

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. …”

Metrics used to evaluate the models proposed in the literature. by Sebastião Rogério da Silva Neto (11944944)

Accuracy assessment of 2017 binary classification and multi-classification result (OA(Overall accuracy), PA(Producer accuracy), UA(User accuracy), ML(Maximum likelihood)). by Lei Liang (326409)

Binary confusion matrix. by Chen Zhu (445894)

Processes in the bagged tree ensemble classification in our experiment. by Rinrada Tanthanathewin (18611171)

The scheme of CARS-Logistic algorithm. by Maryam Sadiq (7046903)

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. …”

Using the Accuracy metric, three model types—naive deep learning models, advanced deep learning models, and the proposed framework—are compared for the binary classification of nor... by Amin Ullah (12015113)

Implementation of Adaptive Genetic Algorithm for classification problems by Dr.E.N. Ganesh (12315038)

“…In this article,</p> <p>we propose a genetic algorithm approach to the</p> <p>classification problem. …”

The overview of the proposed method. by Seyed Mahdi Hosseiniyan Khatibi (16791475)

Using the Recall, Precision, and F1-score metrics, three model types are compared: naïve deep learning models, advanced deep learning models, and the proposed framework for binary... by Amin Ullah (12015113)