Practice More Questions From: Test prep 2
Q:
Which type of machine learning model can be trained using the Support Vector Machine algorithm?
Q:
When using the classification report from sklearn.metrics to evaluate the performance of your model, what does the F1-Score metric provide?
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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?
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In multiclass classification, what are the two ways in which you can approach a problem?
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Hierarchical clustering creates clusters using two methods. Which are those two methods?
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To which kind of machine learning can the K-Means clustering algorithm be associated with?
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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?
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