Score Vs Accuracy Score

Score Vs Accuracy Score

Aspect ‘score’ method ‘accuracy_score’ function Usage This method can be called on the model object, score method refers to model object. For example, in sci-kit-learn after creating a model like ‘ Logistic Regression( ) ‘ , you have an object ‘model’ that represents this specific trained logistic regression model. The ‘accuracy_score( ) ‘ function is a standalone function from the metrics module. This function does not need to be tied to a specific object or class. Functionality This method evaluates the model on test data. This method compares predicted values with the true values. Arguments Takes test data directly Takes predicted labels and true labels as arguments. Flexibility This method is less flexible as compare to accuracy_score function This method is more flexible . Performance comparison Useful for quick model evaluation Useful for comparing multiple models....

Implementation: score() method vs accuracy_score() function in python

Below is an example of implementation demonstrating the difference between two evaluation methods using a simple logistic regression model in scikit-learn –...