What estimator is best?

A: While it depends on the augmentation you are running and how you like to consume your results, the ideal estimator is the one that performs the best without being overfit to the data. If no overrides are made, One AI will go through each of the available estimators to find the best fit for your augmentation. If you want your model to use a specific estimator or only consider a select few, you can override this from the augmentation page in the Estimator Configuration section of the One AI configuration. Here are the estimators One AI has available on site:

Classification Estimators:

  • AdaBoostClassifier
  • DecisionTreeClassifier
  • KNeighborsClassifer
  • LightGBM
  • LogisticRegression
  • RandomForestClassifier
  • SVC

Regression Estimators:

  • ElasticNet
  • Lasso
  • LinearRegression
  • AdaBoostRegressor
  • HuberRegressor
  • Ridge
  • DecisionTreeRegressor
  • GaussianProcessRegressor
  • LightGBMRegressor
  • SGDRegressor
  • SVR

Time to Event Estimators coming soon

For more information about each classifier, search “estimator configuration” in this advanced configuration settings help article.

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