APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Predicting and calculating the accuracy of the training model
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Return the size training set
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Return the size of the testing set
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Predicting for test values and calculating the score of prediction
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Detailed explanation-1: -The Sklearn ‘Predict’ Method Predicts an Output Scikit learn is a machine learning toolkit for Python. That being the case, it provides a set of tools for doing things like training and evaluating machine learning models.
Detailed explanation-2: -The R2 score is a very important metric that is used to evaluate the performance of a regression-based machine learning model. It is pronounced as R squared and is also known as the coefficient of determination. It works by measuring the amount of variance in the predictions explained by the dataset.
Detailed explanation-3: -Think of score as a shorthand to calculate accuracy since it is such a common metric. It is also implemented to avoid calculating accuracy like this which involves more steps: from sklearn.metrics import accuracy score preds = clf.predict(X test) accuracy score(y test, preds)