Regarding the difference sklearn vs. scikit-learn: The package "scikit-learn" is recommended to be installed using pip install scikit-learn but in your code imported using import sklearn. A bit confusing, …

Here is a function, printing rules of a scikit-learn decision tree under python 3 and with offsets for conditional blocks to make the structure more readable: def print_decision_tree(tree, …

conda list scikit-learn It should now display the current (and desired) version of the scikit-learn library. For me personally, I tried using the conda command to update the scikit-learn library and it acted as …

Scikit-learn provides two modules for Stratified Splitting: StratifiedKFold : This module is useful as a direct k-fold cross-validation operator: as in it will set up n_folds training/testing sets such that …

Scikit-learn classifiers generally choose the predicted class by taking the of scores/probabilities (see LogisticRegression and DecisionTreeClassifier). For , the is equal to using a 0.5 threshold on …

Sep 8, 2017 · I want to import scikit-learn, but there isn't any module apparently: ModuleNotFoundError: No module named 'sklearn' I am using Anaconda and Python 3.6.1. When I use the command: …

Jan 13, 2015 · Find p-value (significance) in scikit-learn LinearRegression Asked 11 years ago Modified 2 years, 3 months ago Viewed 444k times

Apr 3, 2011 · Is it possible to specify your own distance function using scikit-learn K-Means Clustering? Asked 14 years, 10 months ago Modified 2 years, 1 month ago Viewed 139k times

Oct 1, 2014 · I'm building a decision tree using Scikit-Learn in Python. I've trained the model on a particular dataset and now I want to save this decision tree so that it can be used later. How to do this?

Feb 26, 2019 · In the specific case of scikit-learn, it may be better to use joblib’s replacement of pickle (dump & load), which is more efficient on objects that carry large numpy arrays internally as is often …