ML Options

Hardik Chheda Updated by Hardik Chheda

When you create a Auto-ML model, the Auto ML page displays the chart for the selected prediction.

On the same page, you can also view the advanced options to specify additional parameters for your prediction.

Click the Advanced Configuration to view the ML Options and Features tabs.

On the ML Options tab, Tellius provides the following machine learning options:

  • Sample Percent: Specify how much percentage of data from the data set you want to use for your prediction.
  • Split ratio (Training vs test split): Specify the ratio to split your data between training and test data.
  • Handle null: Click the drop-down and select how you want to handle the null values in the data set. For example, you want to drop the null valued rows or you want to fill them with 'N/A'
  • Hyperparameter optimization: Select this option to enable the hyperparameter optimization. In machine learning, hyperparameter optimization is choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process.
  • Cross-validation: Select this option to enable the cross validation. Cross validation is a technique for evaluating ML models by training several ML models on subsets of the available input data and evaluating them on the complementary subset of the data.

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