Best Classifier Analysis for Classification-Machine Learning Algorithms
R Sasirekha, U. Harshavardhini, K Vijayalakshmi, T Bhanushree, Manju C Nair, K. Punitha · 2023
Machine Learning extends everywhere in the world. Prediction based on the classification of data, misprediction may lead the model to failure. Hence, it is necessary to learn the traditional machine learning algorithms and how the Machine Learning traditional algorithms can work in prediction datasets, such as medical diagnosis. To build a good prediction model, which classifier can be chosen is discussed with intense care. The study uses traditional machine learning algorithms such as SVM, KNN, Naive Bayes, and Random forest to build the best prediction model. In this paper, a proper study of classification algorithms has been done. Finally, this paper concludes with the best machine learning algorithms among the above said algorithms with their improved precision.