ml

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Across
  1. 3. A popular clustering algorithm that groups examples in unsupervised learning
  2. 4. Creating a model that matches the training data so closely that the model fails to make correct predictions on new data-
  3. 7. The primary algorithm for performing gradient descent on neural networks
  4. 8. The primary algorithm for performing gradient descent on neural networks
  5. 9. an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time-
Down
  1. 1. a basic unit of a data structure, such as a linked list or tree data structure
  2. 2. A process used, as part of training, to evaluate the quality of a machine learning
  3. 5. The model correctly predicted the positive class
  4. 6. The fraction of predictions that a classification model got right
  5. 8. a term used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with