We have previously discussed several supervised learning algorithms ... in biology and medicine 1. SVM and kNN exemplify several important trade-offs in machine learning (ML).

Feature selection-based machine learning models for IDSs were the goal of this ... the Vortex Search Algorithm (VSA), then move on to Support Vector Machines (SVM) and the J48 algorithm. Normalization ...

examination and various machine learning calculations, as Naïve Bayes (NB), J48, Random Forest (RF), Support Vector Machine (SVM), Multi-Layer Perceptron based Neural Network (MLPNN), k-Nearest ...

In this paper, we proposed a novel support vector machine-based bioinformatic identification model. This model contains four machine learning steps, including feature extraction, feature selection, ...

sequential minimal optimization for training a support vector machine, decision lists, J48 decision tree, and the random forest (RF) algorithm. We also compared the performance of the machine learning ...

Amongst these algorithms, J48 Decision tree ... a machine learning model proficient in predicting a new data point’s class based on its features. Seven ML algorithms (Decision Tree, Naive Bayes, ...