The Understand tabs explain what drives a model’s predictions:
|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 August 23, 2023
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