Model Selection

GridSearch

GridSearch

Input Data

Parameters	Inputs
*Target Data	Data Input
*GridSearch Name	Name of the GridSearch (fill it out at your discretion)
*Best Model Name	Name of the best model selected (fill it out at your own discretion)
CV_results	Name of the cv_result_data
*X	User-selected columns to be X (training vector) must fulfill the input assumption of the underlying estimator
*Y	User-selected column to be Y (target relative to X for classification or regression)

[Task Information of GridSearchCV]

Defining estimators

Define the estimator by clicking "+Add Estimator" in Arguments before running the task.

Selected estimator needs to provide a 'score' function.

[Task Information for GridSearchCV Estimator]

Workflow Example

R-Flow Task Example Video: GridSearchCV

Python Package

GridSearchCV: https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html