The Precision and Recall metrics are derived from four possible prediction outcomes. <br>If the predicted label is 1, but the actual label is 0, what would the outcome be?

This outcome happens when the predicted label is 1, but the actual label is 0.

Hierarchical clustering creates clusters using two methods. <br>Which are those two methods?

The divisive method is a "top down" approach starting with the entire dataset and then finding partitions in a stepwise manner. <br>Agglomerative clustering is a "bottom up” approach.

Test Prep 2 » Week 2 » Create Machine Learning Models In Microsoft Azure

Q: Which type of machine learning model can be trained using the Support Vector Machine algorithm?

Logistic Regression is a well-established algorithm for classification.

Q: When using the classification report from sklearn.metrics to evaluate the performance of your model, what does the F1-Score metric provide?

This is what the F1-Score provides.

Q: In multiclass classification, what are the two ways in which you can approach a problem?

One vs One (OVO), in which a classifier for each possible pair of classes is created. <br>One vs Rest (OVR), in which a classifier is created for each possible class value, with a positive outcome for cases where the prediction is this class, and negative predictions for cases where the prediction is any other class.

Q: To which kind of machine learning can the K-Means clustering algorithm be associated with?

Clustering is a form of unsupervised machine learning in which the training data does not include known labels.

Q: You are using scikit-learn library to train a K-Means clustering model that groups observations into four clusters. How should you create the K-Means object?

The n_clusters parameter determines the number of clusters.

Practice More Quizzes:

Create Machine Learning Models in Microsoft Azure

Test prep

10 Questions Week 1

Test prep 2

10 Questions Week 2

Test prep 3

10 Questions Week 3

Q:

Which type of machine learning model can be trained using the Support Vector Machine algorithm?

View Solution

Q:

When using the classification report from sklearn.metrics to evaluate the performance of your model, what does the F1-Score metric provide?

View Solution

Q:

The Precision and Recall metrics are derived from four possible prediction outcomes. If the predicted label is 1, but the actual label is 0, what would the outcome be?

View Solution

Q:

In multiclass classification, what are the two ways in which you can approach a problem?

View Solution

Q:

Hierarchical clustering creates clusters using two methods. Which are those two methods?

View Solution

Q:

To which kind of machine learning can the K-Means clustering algorithm be associated with?

View Solution

Q:

You are using scikit-learn library to train a K-Means clustering model that groups observations into four clusters. How should you create the K-Means object?

View Solution

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