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12.-evaluation.md

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12. Evaluation

  1. Click on Evaluation in the Machine Learning category.

  1. Model Type: Choose the type of model to evaluate:
  2. View Code: Preview the code.
  3. Run: Execute the code.

Regression / Classification

  1. Target Data: Specify the target data.
  2. Predict Data: Specify the data to predict.
  3. Evaluation Metrics: Select the evaluation metrics to apply.

Clustering

  1. Clustered Index: Load the data containing index information assigned to the original data by clusters.
  2. Feature Data: Load the original data. The Silhouette Score is derived through computations with the data specified in the Clustered Index.
  3. Target Data: Load the target data. The comparison with the Clustered Index reveals how accurately the data has been clustered.