Consider the following code: from sklearn.datasets import make_regression from sklearn.datasets import make_classification from sklearn.linear_model import LinearRegression from sklearn.linear_model import LogisticRegression X_r, y_r = make_regression() lr = LinearRegression() lr.fit(X_r, y_r) score1 = lr.score(X_r, y_r) X_c, y_c = make_classification() logr = LogisticRegression() logr.fit(X_c, y_c) score2 = logr.score(X_c, y_c) print(score1) print(score2) Which metrics will be contained in score1 and score2 respectively?

(H) The code will result in an error.

Machine Learning Practice · Quiz 1 · 25 Feb 2024 · January 2024 term

Question 15: Consider the following code: Which metrics will be conta…

Question 15

+2 marksOne correct option

Consider the following code:

python

1from sklearn.datasets import make_regression
2from sklearn.datasets import make_classification
3from sklearn.linear_model import LinearRegression
4from sklearn.linear_model import LogisticRegression
5
6X_r, y_r = make_regression()
7lr = LinearRegression()
8lr.fit(X_r, y_r)
9score1 = lr.score(X_r, y_r)
10
11X_c, y_c = make_classification()
12logr = LogisticRegression()
13logr.fit(X_c, y_c)
14score2 = logr.score(X_c, y_c)
15
16print(score1)
17print(score2)

Which metrics will be contained in score1 and score2 respectively?

A
Accuracy, Accuracy
B
R2 score, R2 score
C
Accuracy, R2 score
D
R2 score, Accuracy
E
F1 score, Precision
F
Precision, Recall
G
MAE, MSE
H
The code will result in an error.

Show answer

Correct answer

D
R2 score, Accuracy

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Question 15 of 24 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 25 Feb 2024, in the January 2024 term (IIT M DIPLOMA AN2 EXAM QDD2 25 Feb 2024). It carries 2 marks.

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