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 …

Note upfront: I tried following suggestions in other threads, but so far, haven't found anything that helps (1, 2) I received a pandas file that I would like to run on my machine. In the beginning...

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 …

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 …

Apr 28, 2021 · For scikit-survival is calculated using the predict_survival_function() Concordance index = 0.82 Part 2: Compare the results with the actuals So now I have created a table using …