エクスペリメントを管理¶

After modeling has started, DataRobot constructs a model Leaderboard to help learn and understand models and the data that built them. Also from the Leaderboard you can [add or retrain models]{0} and [create custom blueprints]{1} from the Leaderboard blueprint using built-in tasks and custom Python/R code.

Tiles on the left-side of the experiment Leaderboard provide all the tools necessary for managing predictive experiments. They are described in the following section:

タイル	名前	説明
	エクスペリメントの設定	Opens the experiment setup summary page.
	データプレビュー	Displays a more visual representation of the features in your dataset, including frequent values.
	特徴量
	特徴量セット	Allows you to create new feature lists, manage existing ones, and retrain all the models in an experiment on a different feature list.
	データインサイト	Helps you track and visualize associations within your data using the Feature Associations insight.
	ブループリントリポジトリ	Opens library of modeling blueprints available for a selected experiment.
	モデル リーダーボード
	エクスペリメントのインサイト	Opens experiment-level insights for all models.
	モデル比較