Which method is used to fit a linear regression model in scikit-learn?Answer areafit()train()predict()apply()
Question
Which method is used to fit a linear regression model in scikit-learn?
areafit()train()predict()apply()
Solution
To fit a linear regression model in scikit-learn, the appropriate method to use is fit().
Explanation:
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fit(): This method is used to train the model using the training dataset. It estimates the coefficients of the linear regression model by minimizing the difference between the predicted and actual values.
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train(): This method is not used in scikit-learn for fitting models.
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predict(): This method is used after the model has been fitted to make predictions based on new data; it does not fit the model.
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apply(): This method is not a standard method for fitting models in scikit-learn.
Final Answer
The method used to fit a linear regression model in scikit-learn is fit().
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