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from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report
import joblib
def train_and_evaluate(X, y, test_size=0.2, random_state=42):
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size, random_state=random_state)
model = LogisticRegression(max_iter=500)
model.fit(X_train, y_train)
y_pred = model.predict(X_test)
print(classification_report(y_test, y_pred))
return model
def save_model(model, filename):
joblib.dump(model, filename)
def load_model(filename):
return joblib.load(filename)
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