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 confusing, …
How is the R2 value in Scikit learn calculated? - Stack Overflow
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"). It is 1 - residual sum of square / …
scikit learn - How are feature_importances in RandomForestClassifier ...
In RandomForestClassifier, estimators_ attribute is a list of DecisionTreeClassifier (as mentioned in the documentation). In order to compute the feature_importances_ for the RandomForestClassifier, in …
How to install scikit-surprise from the ground up - Stack Overflow
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 a supported …
How to save a trained model by scikit-learn? [duplicate]
May 13, 2019 · Closed 4 years ago. 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 …
Installing an old version of scikit-learn - Stack Overflow
Jan 29, 2020 · In my case, I was able to "hack" the modern scikit learn to load a pickle created with a much older version: sys.modules['sklearn.preprocessing.label'] = …
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 Python.
Impute categorical missing values in scikit-learn
Impute categorical missing values in scikit-learn Asked 11 years, 4 months ago Modified 2 years, 6 months ago Viewed 130k times
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 and f1-score …
python - scikit learn f1 score - Stack Overflow
Jun 18, 2023 · The f1_score takes the true classes y_true and predicted classes y_pred. In this case, there is no use for the threshold since the predicted classes are provided. If you have predicted …