While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

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Description for "mantle_source_classifier" Using well-trained DNN, SVM, Adaboost, Decision_tree, Gradient_boosting, KNN, LightGBM, Random Forest models to predict 0-1.0 Ga independent test sets Please ...

Machine learning enables us to build models that process data and train them to provide predictive results. We call predictions with categorical labels ‘classifications’. We commonly use several basic ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

The artificial intelligence (AI) market is expanding. Statista has calculated that the number of AI tool users will increase ...

Abstract: This study uses the San Francisco dataset and applies the Novel Random Forest Classifier with K-Fold Cross Validation to improve the accuracy of crime prediction. The outcomes derived from ...