This study aimed to classify tomatoes based on their colorimetric characteristics, which influence consumer purchasing potential, using the decision tree algorithm. Tomatoes were categorized into two ...

Abstract: As a classical decision tree algorithm, ID3 selects the best test attribute based on information entropy, uses information gain as the attribute division basis, and selects the attribute ...

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 ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

Using machine learning to improve prediction accuracy, this study investigates the use of the Extra Tree (Extremely Randomized Trees) algorithm for heart disease ... model may be implemented into a ...