Homework Help is Here – Start Your Trial Now!
Engineering
Computer Engineering
The exercise description says to use 1, 10 and 20 for the values of k. These should be 1, 11 and 21 since you should always use odd values to avoid ties. In [ ]: from sklearn.datasets import load_digits In [ ]: digits = load_digits() In [ ]: knn = KNeighborsClassifier(n_neighbors=1) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=11) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=21) In [ ]: Xtimeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: from sklearn.model_selection import cross_validate In [ ]: for k in range(1, 20, 2): kfold = KFold(n_splits=10, random_state=11, shuffle=True) knn = KNeighborsclassifier(n_neighbors=k) scores = cross_validate(estimator=knn, X=digits.data, y=digits.target, cv=kfold) print(f'k={k:<2}') print(f'score mean accuracy={scores["test_score"].mean():.2%}') print(f'score time mean={scores["score_time"].mean():.5}') print() Activ Go to

The exercise description says to use 1, 10 and 20 for the values of k. These should be 1, 11 and 21 since you should always use odd values to avoid ties. In [ ]: from sklearn.datasets import load_digits In [ ]: digits = load_digits() In [ ]: knn = KNeighborsClassifier(n_neighbors=1) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=11) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=21) In [ ]: Xtimeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: from sklearn.model_selection import cross_validate In [ ]: for k in range(1, 20, 2): kfold = KFold(n_splits=10, random_state=11, shuffle=True) knn = KNeighborsclassifier(n_neighbors=k) scores = cross_validate(estimator=knn, X=digits.data, y=digits.target, cv=kfold) print(f'k={k:<2}') print(f'score mean accuracy={scores["test_score"].mean():.2%}') print(f'score time mean={scores["score_time"].mean():.5}') print() Activ Go to

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
See similar textbooks
icon
Related questions
Question

Solve it in Python:

 

The exercise description says to use 1, 10 and 20 for the values of k. These should be 1, 11 and 21 since you should always use odd values to avoid ties. In [ ]: from sklearn.datasets import load_digits In [ ]: digits = load_digits() In [ ]: knn = KNeighborsClassifier(n_neighbors=1) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=11) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=21) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: from sklearn.model_selection import cross_validate In [ ]: for k in range(1, 20, 2): kfold = KFold(n_splits=10, random_state=11, shuffle=True) knn = KNeighborsClassifier(n_neighbors=k) scores = cross_validate(estimator=knn, X=digits.data, y=digits.target, cv=kfold) print(f'k={k:<2}') print(f'score mean accuracy={scores["test_score"].mean():.2%}') print(f'score time mean={scores["score_time"].mean(): .5}') print() Activ Go to
Transcribed Image Text:The exercise description says to use 1, 10 and 20 for the values of k. These should be 1, 11 and 21 since you should always use odd values to avoid ties. In [ ]: from sklearn.datasets import load_digits In [ ]: digits = load_digits() In [ ]: knn = KNeighborsClassifier(n_neighbors=1) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=11) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: knn = KNeighborsClassifier(n_neighbors=21) In [ ]: %timeit scores = cross_val_score(estimator=knn, X=digits.data, y=digits.target, cv=kfold) In [ ]: from sklearn.model_selection import cross_validate In [ ]: for k in range(1, 20, 2): kfold = KFold(n_splits=10, random_state=11, shuffle=True) knn = KNeighborsClassifier(n_neighbors=k) scores = cross_validate(estimator=knn, X=digits.data, y=digits.target, cv=kfold) print(f'k={k:<2}') print(f'score mean accuracy={scores["test_score"].mean():.2%}') print(f'score time mean={scores["score_time"].mean(): .5}') print() Activ Go to
Expert Solution
steps

Step by step

Solved in 3 steps with 4 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY
SEE MORE TEXTBOOKS