Input
ExecutionExecution trigger
AI/ML/Tuning
Automatically finds the best classification model. Tries Naive Bayes, Decision Tree, and SVM with cross-validation.
Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.
Execution trigger
Number of cross-validation folds
Optimization metric
Include SVM in comparison (slower but often more accurate)
Data source type
Activated when AutoML completes
Complete AutoML results with leaderboard
Leaderboard entries sorted by score
Entry in the AutoML leaderboard
Model type (e.g., "GaussianNaiveBayes", "DecisionTree", "SVM")
Best parameters found for this model
Best CV score achieved
Training time in seconds
Rank in leaderboard (1 = best)
Index of best model in leaderboard
Total models trained
Total elapsed time in seconds
Metric used for optimization
The best model trained on full data
Name of the best algorithm