Previously we have looked in depth at a simple generative classifier (naive ... Random forests are an example of an ensemble method, meaning that it relies ... ... <看更多>

A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and ... ... <看更多>

Random forests are an example of an ensemble method, meaning that it ... Let's use that again here to see how the random forest classifier can be used in ... ... <看更多>

I am trying to improve the accuracy of Random Forest Classifier using RandomizedCV and GridsearchCV. Whenever I run the script, ... ... <看更多>

As a model I use sklearn.ensemble.RandomForestClassifier . Additionally, I am playing around with dask.distributed with joblib.parallel_backend('dask') . My ... ... <看更多>