Confusion matrix for a multiclass classifier.

Metrics from the Support Vector Machine trained on the patient cohort using cross validation.

The summary statistics of accuracy after running 2-folds, 4-folds, 10-folds, and LOSO 100 times.

The GD50 levels and SNP calls for the 11 HER2 Cell lines used as secondary validation in this study.

Statistical parameters of vocal features.

Definitions of vocal features.

Breast cancer is the leading cause of cancer related deaths in women worldwide and is classified into subtypes based on the cancer’s receptor status. Of these subtypes, those...

BackgroundThe gold standard for pediatric sleep apnea hypopnea syndrome (SAHS) is overnight polysomnography, which has several limitations. Thus, simplified diagnosis techniques...

Error rates (%) per cyberbullying subcategory on hold-out for English and Dutch systems.

BackgroundPredicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative...

All these accuracies are reported using hold-out testing technique. All classifiers and dimensionality reduction technique hyper-parameters are fine tuned using the grid...

Error rates (%) per cyberbullying participant role on hold-out for English and Dutch systems.

Summary of the state-of-the-art studies in the context of detection of moderate-to-severe pediatric SAHS using SpO2 recordings.

Results of the KOSPI200 prediction based on [2] method.

Feature group mapping (Table 5).

Distribution for the sensitivity (SEN) (%) and specificity (SPE) (%) for the healthy control (HC), Alzheimer’s disease (AD) and Parkinson’s disease (PD) groups, accuracy (ACC)...

Binary AdaBoost classifier performance for average-ERP data.

Grand ERP average for positive (in red), negative (in green), and neutral (in blue) prime affect types.

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.

Ranking of the vocal features based on their mutual information with UPDRS level discretized according to the determined optimal threshold that can be discriminated by machine...