… We emphasize that it is necessary to distinguish between pairwise and multiple comparison
tests. … comparison statistical procedures to analyse and select machine learning algorithms. …

Introduction We aimed to assess whether machine learning models are superior at predicting
acute kidney injury (AKI) compared to logistic regression (LR), a conventional prediction …

… MACHINE LEARNING TECHNIQUES Five (5) different Machine Learning techniques for
learning classifier have been investigated in this paper. These techniques are selected due to …

… stage heart disease prediction by analytical support of clinical … machine learning classifiers
with the highest accuracy for such diagnostic purposes. Several supervised machine-learning …

… In current technologically advanced period, machine learning method has … machine learning
mainly involves medical diagnosis, data analysis, optimization analysis, structural analysis, …

… and machine learning algorithms … machine learning algorithms, we have worked on Boosting,
Bagging and Blending (Stacking) and compared their accuracies as well. The comparison …

… a comprehensive comparison between logit models and machine learning that covers …
analysis by comparing both the predictive accuracy and behavioral outputs of machine-learning …

… The comparative analysis among various supervised machine learning algorithms was
carried out using WEKA 3.7.13 (WEKA - Waikato Environment for Knowledge Analysis). The data …

… This paper presents a detail survey of various machine learning techniques and then compared
… On comparing we get 85% of accuracy by using supervised machine learning technique …

… -19 tweets sentiment analysis using a supervised machine learning approach. Identification
… The contribution of this work is the performance evaluation of various machine learning …