Binary contingency table. by Lu Xiao (314030)

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

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

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. …”

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)

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Binary classification predictions. by Thierry Jean (20691795)

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Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Binary classification task performance. by Thierry Jean (20691795)

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Accuracy of different algorithms in binary classification on Alibaba Cloud data set. by Zhanhui Hu (18405183)

“…<p>Accuracy of different algorithms in binary classification on Alibaba Cloud data set.…”

Experimental results for the binary relevance classifier. by Antonio Fernando Lavareda Jacob Junior (17816730)

The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. by Qian Zhang (49333)

Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

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

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Binary classification results on the variant data (affecting/non affecting). by Yaron Strauch (12769860)

Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

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. …”

Predictive performance of algorithms for binary classification of bacterial vs. non-bacterial meningitis (AUC-ROC). by Audêncio Victor (10400699)