Abstract: In an increasingly modern era, machine ... including Decision Trees, Support Vector Machines, Linear Regression, and so on. We can combine these basic models to create an ensemble model, ...

Computer vision systems combined with machine learning techniques have demonstrated ... which influence consumer purchasing potential, using the decision tree algorithm. Tomatoes were categorized into ...

Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree classifier, random forest classifier (RF), support vector machine ... SMOTE works by ...

We developed a machine learning-derived lactylation signature (MLLS) by integrating multiple algorithms with a ten-fold cross-validation ... functional roles of commonly mutated genes. For example, ...

The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, ...

uw.edu Physicians and other healthcare professionals are increasingly finding ways to use artificial intelligent decision support systems (AI-DSS) in their work. IBM Watson Health, for example ... by ...

Abstract: This research article identifies the fault occurrence in the blowfish cryptography algorithm using a modified Decision Tree classifier. Though there are several cryptography algorithms, the ...