QuizTrain a classifier in the browser/12 min
Checkpoint: your first models
Eight questions on Python basics, scaling, splitting, fitting, reading a confusion matrix, and comparing two models.
8 questions. You need 70% to pass, and you can retake it as many times as you want.
1
What is score after score = 4 followed by score = score + 2?
2
Why does indentation matter inside a Python loop?
3
How many features are in a flattened 8 by 8 digit image?
4
Training pixels were divided by 16. How should a new raw digit be prepared?
5
What does model.fit(X_train, y_train) do?
6
What does stratify=y help preserve when splitting data?
7
Many true 8 images are predicted as 3. What should you inspect?
8
KNN beats your neural network on a fixed evaluation. What should you report?
0 of 8 answered