What is evaluate model function in regression model in pycaret
This recipe explains what is evaluate model function in regression model in pycaret. This function displays a user interface for analyzing performance of a trained model.
Recipe Objective - What is the evaluate_model function in the regression model in pycaret?
PyCaret provides the evaluate_model function in the regression module.
This module is provided by the PyCaret python library. PyCaret is an open-source, less-code machine learning python library. PyCaret automates machine learning workflow. PyCaret library is wrapped around some machine learning libraries such as sklearn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more.
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evaluate_model function with Example:-
PyCaret provides "pycaret.regression.evaluate_model()" function. evaluate_model function displays a user interface for analyzing performance of a trained model.
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')
# creating model
svm = create_model('svm')
# evaluate_model function
evaluate_model(svm)
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