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

… 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. …

… 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 …

… 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, …

… LR models performed better in the very low fire distribution class, compared to the RF
models, identifying lower forest fire incidence in the validation set of data. On the other hand, RF …

… 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 …