Machine Learning

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Across
  1. 3. one of the clustering algorithms
  2. 5. Sum of the diagonals of the confusion matrix divided by the total number of test observations
  3. 6. The classification algorithm predicts probabilities between 0 and 1
  4. 8. This information is missing in the dataset in unsupervised learning
Down
  1. 1. supervised learning algorithm which is a lazy learner
  2. 2. The method in python which is used to convert string features into numbers
  3. 4. Common distance measure used in KNN
  4. 7. co-ordinates of the data points