Which of the following statements a) , b) or c) is false?
A) The following code tests a model by calling the estimator's xe "scikit-learn (sklearn) machine-learning library:predict method of an estimator"xe "predict method of a scikit-learn estimator"predict method with the test samples as an argument: predicted = linear_regression.predict(X_test)
B) Assuming the array expected contains the expected values for the samples used to make predictions in Part (a) 's snippet, evaluating the following snippets displays the first five predictions and their corresponding expected values: In [32]: predicted[:5]
Out[32]: array([1.25396876, 2.34693107, 2.03794745, 1.8701254 , 2.53608339])
In [33]: expected[:5]
Out[33]: array([0.762, 1.732, 1.125, 1.37 , 1.856])
C) With classification, we saw that the predictions were distinct classes that matched existing classes in the dataset. With regression, it's tough to get exact predictions, because you have continuous outputs. Every possible value of x1, x2 … xn in the calculation y = m1x1 + m2x2 + … mnxn + b
Predicts a different value.
D) All of the above statements are true.
Correct Answer:
Verified
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