Import Packages and Build the ML model:-
from sklearn.linear_model import LogisticRegression from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split # Load the data Iris_data = load_iris() # Split data Xtrain, Xtest, Ytrain, Ytest = train_test_split(Iris_data.data, Iris_data.target, test_size=0.3, random_state=4) # Define the Model LR_Model = LogisticRegression(C=0.1, max_iter=20, fit_intercept=True, n_jobs=3, solver=’liblinear’) # Train the Model LR_Model.fit(Xtrain, Ytrain)
