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

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

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

Calibration curves for the test set of four models. by Meng Cao (105914)

Subjects:

ROC curves for the test set of four models. by Meng Cao (105914)

Subjects:

Performance metrics of the models on the training and test set. by Meng Cao (105914)

Subjects:

Process flow diagram of CBFD. by Indhumathi S. (19173013)

Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

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)

datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf by Jan Tönshoff (10192709)

The AD-PSO-Guided WOA LSTM framework. by Ahmed M. Elshewey (21463867)

“…Out of all the models, LSTM produced the best results. The AD-PSO-Guided WOA algorithm was used to adjust the hyperparameters for the LSTM model. …”

SHAP bar plot. by Meng Cao (105914)

Subjects:

Display of the web prediction interface. by Meng Cao (105914)

Subjects:

Sample screening flowchart. by Meng Cao (105914)

Subjects:

Descriptive statistics for variables. by Meng Cao (105914)

Subjects:

SHAP summary plot. by Meng Cao (105914)

Subjects:

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. by Richard Porwancher (11413931)

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model by Getachew S. Molla (6416744)

“…A particle swarm optimization algorithm is incorporated to preregress conceptual segment parameters of solutes. …”

Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf by Sai Sakunthala Guddanti (17739363)

“…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …”

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. by Jiaqing Luo (10975030)