Understand¶
The Understand tabs explain what drives a model’s predictions:
Leaderboard tabs | Description | Source |
---|---|---|
Cluster Insights | Visualizes the groupings of data that result from modeling in clustering mode, an unsupervised learning technique. | Training data |
Feature Effects | Visualizes the effect of changes in the value of each feature on the model’s predictions. | Training data prior to v5.0; Training, Validation, Holdout (selectable) in v5.0+ |
Feature Impact | Provides a high-level visualization that identifies which features are most strongly driving model decisions. | Training data |
Prediction Explanations | Illustrates what drives predictions on a row-by-row basis using XEMP or SHAP methodology. | Low and high thresholds and baseline prediction based on Validation data (XEMP) or training data (SHAP) |
Word Cloud | Displays the most relevant words and short phrases in word cloud format. | Training data |
Updated February 13, 2025
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