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 …

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").

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 …

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 …

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 …

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 …

Scikit-Learn itself provides very good classes to handle categorical data. Instead of writing your custom function, you should use LabelEncoder which is specially designed for this purpose.

Jan 13, 2015 · Find p-value (significance) in scikit-learn LinearRegression Asked 10 years, 9 months ago Modified 2 years ago Viewed 442k times

May 25, 2022 · I am trying to interpret the value that I get out of sklearn.metrics.mean_absolute_percentage_error(y_true, y_pred), but have difficulty to …