RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . by Jakub Stoklosa (3315042)

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

Flow chart for data acquisition and processing. by Micanaldo Ernesto Francisco (18723706)

Logistic regression permutation evaluation. by Elisa Ferrari (7000166)

Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke by Chulho Kim (622686)

“…Labeling for AIS was performed manually, identifying clinical notes. We applied binary logistic regression, naïve Bayesian classification, single decision tree, and support vector machine for the binary classifiers, and we assessed performance of the algorithms by F1-measure. …”

Comparison of ML and NLP algorithms for classifying the brain MRI reports. by Chulho Kim (622686)

Fig 1 - by Jakub Stoklosa (3315042)

Receiver operating curves for NLP classification. by Charlene Jennifer Ong (8997278)

Calibration curves for NLP classification. by Charlene Jennifer Ong (8997278)

Predicting childhood obesity using electronic health records and publicly available data by Robert Hammond (3631525)

“…</p><p>Methods and findings</p><p>We trained a variety of machine learning algorithms to perform both binary classification and regression. …”

DataSheet_1_Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees.docx by Tine Geldof (8380125)

“…Secondly, a classification tree algorithm was trained and validated for dividing individual patients into treatment response and non-response groups. …”

Data_Sheet_1_The impact of family urban integration on migrant worker mental health in China.docx by Xiaotong Sun (6535064)

Data for Exploring the Mechanism of Path-Creating Strategy for Latecomers: A Combined Approach of Econometrics and Causal Machine Learning by Yuanyang Teng (19096724)

“…TechCatchup-selected_features.xlsx is further processed data meet the requirements of binary classification and algorithm in the research. …”

DataSheet_1_Accurate Tumor Delineation vs. Rough Volume of Interest Analysis for 18F-FDG PET/CT Radiomics-Based Prognostic Modeling inNon-Small Cell Lung Cancer.docx by Shima Sepehri (11574997)