Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...
Abstract: This paper develops a machine learning model to classify the various sorts of car damages with high performance toward damage detection. Precision, recall, and F1-score values for all types ...
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