12. Evaluation

1. Click on Evaluation in the Machine Learning category.

2. Model Type: Choose the type of model to evaluate:

   • Regression / Classification

   • Clustering

3. View Code: Preview the code.

4. Run: Execute the code.

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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.

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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.