Arthur C Graesser, John P Sabatini, Haiying Li
Educational Psychology Is Evolving to Accommodate Technology, Multiple Disciplines, and Twenty-First-Century Skills
Annual review of psychology
recent years researchers proven effectiveness speediness machine learningbased cancer diagnosis models however difficult explain results generated machine learning models especially ones utilized complex highdimensional data like rna sequencing data study propose binarilization technique novel way treat rna sequencing data used construct explainable cancer prediction models tested proposed data processing technique five different models namely neural network random forest xgboost support vector machine decision tree using four cancer datasets collected national cancer institute genomic data commons since datasets imbalanced evaluated performance models using metrics designed imbalance performance like geometric mean matthews correlation coefficient fmeasure area receiver operating characteristic curve approach showed comparative performance relying less features additionally demonstrated data binarilization offers higher explainability revealing feature affects prediction results demonstrate potential data binarilization technique improving performance explainability rna sequencing based cancer prediction models