IAthon

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Across
  1. 2. A process of finding the best parameters for a model
  2. 3. A mathematical function used in training neural networks to adjust weights
  3. 6. A type of neural network that learns from labeled data
Down
  1. 1. The process of splitting data into training and testing sets
  2. 4. A technique for evaluating model performance
  3. 5. A form of supervised learning where output labels are continuous
  4. 7. This algorithm is often used for classification tasks