… Our systematic large-scale comparison study performed … performance of random forest
(compared to logistic regression) … research (and comparison studies!) on random forests, not only …

… logistic regression consistently performed with a higher overall accuracy … compared to
random forest. However, the true positive rate for random forest was higher than logistic regression …

… using Logistic Regression and Random Forests multivariate … based on Logistic Regression
and Random Forests techniques and … tables; viii) comparison of model results and obtained …

… to compare RandomForest machine learning algorithm and Logistic Regression algorithm
… The evaluation criteria to compare the two algorithms were based on precision, Recall, True …

… (Random Forest) to account for interactions between them. We also intended to compare
Random Forest with traditional Logistic regression… selected by using Random Forest technique. …

… In this study, non-landslide grid cells were randomly selected from landslide-free areas.
Because areas with the 171 landslides are small compared to the total study area, in this study, …

… In the remainder of this article, we compare the ability of Random Forest to predict true
onsets of civil war to three logistic regression approaches (Firth 1993; Lee et al. 2006). …

… compared logistic regression, random forest and K-nearest neighbour as our classification
algorithms. Then, these classifiers were tested, analysed and compared … classification model …

… classification accuracy results in comparison to Random Forest and Support Vector Machine,
but the difference is not statistically significant. Except Logistic Regression, performance of …

… Therefore, the aim of this study was to compare the discrimination and calibration performance
of an ML algorithm called the random forest (RF) model, against a stepwise LR model …