Model Evaluation Functions - Analytics Database
Database Analytic Functions
- Deployment
- VantageCloud
- VantageCore
- Edition
- Enterprise
- IntelliFlex
- VMware
- Product
- Analytics Database
- Release Number
- 17.20
- Published
- June 2022
- ft:locale
- en-US
- ft:lastEdition
- 2025-07-09
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- gjn1627595495337.ditamap
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- qkf1628213546010.ditaval
- dita:id
- jmh1512506877710
- Product Category
- Teradata Vantage™
- TD_SHAP
- Computes the contribution of each feature in a prediction as as average marginal contribution of the feature value across all possible coalitions.
- TD_Silhouette
- Determines how well the data is clustered among clusters.
- TD_ClassificationEvaluator
- Computes the Confusion matrix, precision, recall, and F1-score based on the observed labels (true labels) and the predicted labels.
- TD_RegressionEvaluator
- Computes metrics to evaluate and compare multiple models and summarizes how close predictions are to their expected values.
- TD_ROC
- Accepts a set of prediction-actual pairs for a binary classification model and calculates the True-positive rate (TPR), False-positive rate (FPR), The area under the ROC curve (AUC), and Gini coefficient values for a range of discrimination thresholds.
- TD_TrainTestSplit
- Simulates model performance on new data.