What is evaluate model function in clustering model in pycaret

Recipe Objective - What is the evaluate_model function in the clustering model in pycaret?

PyCaret provides the evaluate_model function in the clustering 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.clustering.evaluate_model()" function. The evaluate_model function displays a user interface for analyzing performance of a trained model.

from pycaret.datasets import get_data
jewll = get_data('jewellery')
# importing clustering module
from pycaret.clustering import *
# initialize the setup
setup_name = setup(data = jewll)
# k_means clustering
k_m = create_model('kmeans')
# evaluate_model function
evaluate_model(k_m)