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 …

Apr 18, 2020 · If you're looking to compute the confidence interval of the regression parameters, one way is to manually compute it using the results of LinearRegression from scikit-learn and …

May 13, 2019 · I am trying to re-create the prediction of a trained model but I don't know how to save a model. For example, I want to save the trained Gaussian processing regressor model …

The R^2 in scikit learn is essentially the same as what is described in the wikipedia article on the coefficient of determination (grep for "the most general definition").

But although scikit-learn (which contains sklearn, that was initially confusing) seems fully installed on my system, including "import sklearn" working outside of PyCharm, I could not get the …

To check the accuracy I used scikit-learn and SVM. Following this tutorial I made this script: import pandas as pd from sklearn.model_selection import train_test_split from sklearn import …

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 …

How to calculated the adjusted R2 value using scikit Asked 7 years, 4 months ago Modified 3 years, 3 months ago Viewed 48k times

Anaconda comes with the conda package manager which is designed to handle these kinds of upgrades. Start by updating conda itself to get the most recent package lists: conda update …

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, …