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 …

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").

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 …

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 …

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 …

Apr 3, 2015 · 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 …

Scikit-learns model.score (X,y) calculation works on co-efficient of determination i.e R^2 is a simple function that takes model.score= (X_test,y_test). It doesn't require y_predicted value to …

May 15, 2024 · And indeed, if we check scikit-suprise 1.1.3 on pypi, you can see that supported python versions only go up to 3.10. Nonetheless, the newest version 1.1.4 lists python 3.12 as …

In RandomForestClassifier, estimators_ attribute is a list of DecisionTreeClassifier (as mentioned in the documentation). In order to compute the feature_importances_ for the …

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.