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 accuracy and DR comparison on NSL-KDD. by Arshad Hashmi (13835488)

Binary classification task performance. by Thierry Jean (20691795)

Receiver operating characteristic curve for each method using the validation predictions of the binary classification problem where the positive class is malignant and the negative... by Alberto Garcia-Zamalloa (319006)

Precision-recall curve for each method using the validation predictions of the binary classification problem where the positive class is <i>malignant</i> and the negative class is... by Alberto Garcia-Zamalloa (319006)

Accuracy comparison with existing approaches for Binary Classification with state of art on UNSW-NB15 and NSL-KDD. by Arshad Hashmi (13835488)

Accuracy comparison with existing approaches for binary classification with state of art on UNSW-NB15 and NSL-KDD. by Arshad Hashmi (13835488)

Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data by Changhun Kim (682542)

Subjects:

Comparison of accuracy of MCL-FWA-BILSTM model with existing models for binary classification on UNSW-NB15 and NSL-KDD. by Arshad Hashmi (13835488)

MCL-FWA-BILSTM binary and multiclass accuracy comparison. by Arshad Hashmi (13835488)

Frequency and Density plot of features Across Classes of Ease of using the telehealth system “Effort Expectancy”. by Anis Ben Ghorbal (22521828)

Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm. by Sheema Gul (21519289)

Effect of class imbalance on predictive performance. by Thierry Jean (20691795)

Classification report based on HaPi. by Akib Mohi Ud Din Khanday (19065631)

Evaluation of Binary Classifiers for Asymptotically Dependent and Independent Extremes by Juliette Legrand (21771740)

ROC curves of our out-of-class algorithm (blue) and a threshold decision boundary (red) representing the true positive rates (TPR) compared to the false positive rates (FPR) for te... by G. Christopher Marais (21492084)

Validation of image processing steps and metric results using images of a microfluidic device. by Gavrielle R. Untracht (11820311)

Ordinal regression predictions. by Thierry Jean (20691795)

Passive sensing data. by Thierry Jean (20691795)

“…We trained 120 machine learning models to forecast 10 mental states (e.g., Calm, Depressed, Seeing things) from passive sensor data on 2 predictive tasks (ordinal regression, binary classification) with 2 learning algorithms (XGBoost, LSTM) over 3 forecast horizons (same day, next day, next week). …”