Given these advantages, the present study aims to employ the decision tree algorithm to classify tomatoes based on their ripeness condition for consumption using colorimetric characteristics obtained ...

Ashar Ahmed Fazal, and Maryam Daud, (2023) Detecting Phishing Websites Using Decision Trees A Machine Learning Approach. International Journal for Electronic Crime Investigation, 7, 232-250.

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 symmetric ...

Noninvasive tests such as retinal imaging and urine dipstick assessments significantly enhanced the effectiveness and efficiency of CKD screening.

CNET reported a few weeks ago that Amazon is preparing to remove a key privacy setting in its Alexa smart home devices. Today, it goes into effect. Here's what it means.

Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach ...

Through the National Education Sector Strategic Plan 2023–27, the ministry vowed to “make data-driven decision-making to inform policies, track progress and make evidence-based decisions.” To this ...

When using decision tree regression, it's not necessary to normalize the training data predictor values because no distance between data items is computed. However, it's not a bad idea to normalize ...

C4.5 Decision Tree [3]: The C4.5 decision tree is an upgraded version of the ID3 decision tree, and its main advantage lies in the ability to handle both continuous data and missing data.