Difference between scikit-learn and sklearn (now deprecated)
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 …
python - scikit-learn doesn't upgrade - Stack Overflow
Feb 22, 2024 · The last version of scikit-learn to support Python 3.7, is 1.0.2, according to PyPI. If you want to use a newer version of scikit-learn, you'll have to use a more recent version of …
How to upgrade scikit-learn package in anaconda - Stack Overflow
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 …
python - scikit-surprise installation in windows - Stack Overflow
Oct 9, 2024 · Installation of scikit-surprise using pip in my project file, gives me an error like 'Error originates from subprocess'. Then I tried to install it globally using conda.
What are the parameters for sklearn's score function?
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 …
Stratified Train/Test-split in scikit-learn - Stack Overflow
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 compute precision, recall, accuracy and f1-score for the ...
Jul 15, 2015 · For the classification Im using scikit's SVC. The problem is I do not know how to balance my data in the right way in order to compute accurately the precision, recall, accuracy …
Find p-value (significance) in scikit-learn LinearRegression
Sep 8, 2021 · Find p-value (significance) in scikit-learn LinearRegression Asked 10 years, 10 months ago Modified 2 years ago Viewed 442k times
Label encoding across multiple columns in scikit-learn
Jun 28, 2014 · I'm trying to use scikit-learn's LabelEncoder to encode a pandas DataFrame of string labels. As the dataframe has many (50+) columns, I want to avoid creating a …
How to use pandas DataFrames with sklearn? - Stack Overflow
Like mentioned in the comments below your question your features and your label are persumably strings. However, sklearn requires them to be numeric (sklearn is normally used with numpy …