What is create model function in Association Rules module

This recipe explains what is create model function in Association Rules module

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Recipe Objective - What is the create_model function in the Association Rules module?

PyCaret provides the create_model function in the Association Rules module.

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create_model function with Example:-

PyCaret prvides "pycaret.arules.create_models()" funtion. Create model function creates an association rules model using data and identifiers passed at setup stage.

Available Metrics:-

support(A->C) = support(A+C) [aka ‘support’], range: [0, 1]

confidence(A->C) = support(A+C) / support(A), range: [0, 1]

lift(A->C) = confidence(A->C) / support(C), range: [0, inf]

leverage(A->C) = support(A->C) - support(A)*support(C), range: [-1, 1]

conviction = [1 - support(C)] / [1 - confidence(A->C)], range: [0, inf]

from pycaret.datasets import get_data
data = get_data('france')
# importing NLP module
from pycaret.arules import *
# initialize the setup
exp = setup(data = data, transaction_id = 'InvoiceNo', item_id = 'Description')
# creating model function
model = create_model(metric = 'confidence')
model

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