Across
- 3. Obscurities in the signal
- 6. An evaluation metric that considers all possible thresholds in classification problem
- 7. The primary algorithm behind the gradient descent in Neural Networks
- 8. Grouping of the observations
- 9. The averaged squared loss per example
Down
- 1. Mixture of two functions
- 2. One of the most used activation function in Neural Networks
- 4. A popular machine learning Python API
- 5. An input variable for the model
- 6. Fraction of predictions that a classification model got correct
