What is stack models function in regression model in pycaret

This recipe explains what is stack models function in regression model in Pycaret and provides detailed steps on how to use it through an example.

Recipe Objective - What is stack_models function in the regression model in pycaret?

PyCaret provides the stack_models function in the regression module.

List of Classification Algorithms in Machine Learning

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https://www.dezyre.com/projects/data-science-projects/tensorflow-projects
https://www.dezyre.com/projects/data-science-projects/keras-deep-learning-projects

Stack models function with Example:-

PyCaret prvides "pycaret.regression.stack_models()" funtion. Stack models function trains a meta model over select estimators passed in the estimator_list parameter

The output of this function is a scoring grid with CV scores by fold.

from pycaret.datasets import get_data
bost = get_data('boston')
# importing regression module
from pycaret.regression import *
# initialize setup
set_up = setup(data = bost, target = 'medv')
comp_top3 = compare_models(n_select = 3)
stack = stack_models(comp_top3)
stack

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