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 …
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 …
python - Pycharm: No module named sklearn - Stack Overflow
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 …
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 443k times
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 …
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.
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 …
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 …
Get confidence interval from sklearn linear regression in python
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 …
How to extract the decision rules from scikit-learn decision-tree?
2 Here is a function, printing rules of a scikit-learn decision tree under python 3 and with offsets for conditional blocks to make the structure more readable: