31. Support vectors are the data points that lie closest to the decision
32. How can we assign the weights to output of different models in an ensemble?
1. Use an algorithm to return the optimal weights
2. Choose the weights using cross validation
3. Give high weights to more accurate models
1. Use an algorithm to return the optimal weights
2. Choose the weights using cross validation
3. Give high weights to more accurate models
33. Time Complexity of k-means is given by
34. Hyperplanes are decision boundaries that help classify the data points.
35. If you remove the non-red circled points from the data, the decision boundary will change?
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