Further, the study's own statistical tests indicate that random forests do not have significantly higher percent accuracy than support vector machines and neural networks, calling into question the conclusion that random forests are the best classifiers.

Why random forest classifier is the best?

Random forests is great with high dimensional data since we are working with subsets of data. It is faster to train than decision trees because we are working only on a subset of features in this model, so we can easily work with hundreds of features.

Is SVM better than random forest?

random forests are more likely to achieve a better performance than SVMs. Besides, the way algorithms are implemented (and for theoretical reasons) random forests are usually much faster than (non linear) SVMs.