BENCHMARKING ASSESSMENT OF SUPERVISED MACHINE LEARNING ALGORITHMS OF K-NEAREST NEIGHBOR, RANDOM FOREST, DECISION TREE AND ITS VARIANTS BASED ON EFFICIENCY AND PERFORMANCE METRICS

Benchmarking Assessment of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and Its Variants Based On Efficiency and Performance Metrics

Machine learning provides more verbose algorithms capable of accurately predicting, classifying groups as needed.Consequently, the objective of this paper is to assess the benchmarking of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and it variants VOLUMEA VOLUMIZING FOAM (ID3, C4.5, C5.0 and CART) base

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