Untitled

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import make_pipeline
iris=load_iris()
X=iris.data
y=iris.target
X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2, random_state=42)
pipeline=make_pipeline(StandardScaler(),LogisticRegression(C=1e4,max_iter=1000))
pipeline.fit(X_train,y_train)
accuracy=pipeline.score(X_test,y_test)
print("Classification Acccuracy ", accuracy)