Module 1 Quiz
Graded Quiz • 30 min Quiz10 Questions Week 1
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Module 1 Quiz

Graded Quiz • 30 min Quiz10 Questions Week 1
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Q:

Select the option that correctly completes the sentence: Training a model using labeled data and using this model to predict the labels for new data is known as ____________.

Q:

Select the option that correctly completes the sentence: Modeling the features of an unlabeled dataset to find hidden structure is known as ____________.

Q:

Select the option that correctly completes the sentence: Training a model using categorically labelled data to predict labels for new data is known as __________.

Q:

Select the option that correctly completes the sentence: Training a model using labelled data where the labels are continuous quantities to predict labels for new data is known as __________.

Q:

Why is it important to examine your dataset as a first step in applying machine learning? (Select all that apply):

Q:

Given a dataset with 10,000 observations and 50 features plus one label, what would be the dimensions of X_train, y_train, X_test, and y_test? Assume a train/test split of 75%/25%.

Q:

The key purpose of splitting the dataset into training and test sets is:

Q:

The purpose of setting the random_state parameter in train_test_split is: (Select all that apply)

Q:

Which of the following is true for the nearest neighbor classifier (Select all that apply):

Q:

Using the data for classes 0, 1, and 2 plotted below, what class would a KNeighborsClassifier classify the new point as for k = 1 and k = 3?

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