Contributed by Bin Yu, December 21, 2017 (sent for review June 23, 2017; reviewed by Michael M. Hoffman and Daniel Jacobson) ...

A comparative analysis of algorithms identified Random Forest as the most effective, achieving an R-squared of 39%. Integrated into a Power BI dashboard, the model enables real-time expenditure ...

However, as the data are being generated explosively in this big data era, many machine learning algorithms, including the random forest algorithm, may face the difficulty in maintaining and ...

These algorithms, the same as SVM, KNN, Decision Tree, and Naïve Bayes produced results with an accuracy of up to 90%. Whereas an existing technique like the Random Forest algorithm produced an ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...