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2 votes

The best algorithm(s) for finding the best hyperparameters (special case)

It seems as if you have tried the main tabular machine learning model types but I would suggest you to look into Optuna. It's a model-agnostic hyperparameter optimization framework which is awesome ...
Guest's user avatar
  • 21
1 vote

Hyperparameter tuning

This is called data leakage. She should choose hyper parameters based upon the training data. And then report performance when evaluated using the test data. Being able to make good predictions on ...
J_H's user avatar
  • 1,130
1 vote

Ordering of Train/Val/Test set use in hyperparameter tuning

You are asking about a model's ability to generalize to unseen examples. Consult Abu-Mostafa, et al., Learning From Data, § 5.3 Data Snooping. If a data set has affected any step in the learning ...
J_H's user avatar
  • 1,130
1 vote

Visualizing correlation between hyper-parameters and metrics for Neural Network

Scatter plots are standard way of visualizing relation between two variables. Similarly, you can try multi-dimensional scatter plots for visualizing. Since the number of features will be different for ...
shivani's user avatar
  • 140

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