Data Science
Final Project Part 4: Model Training
Senior Data Analyst
May 24, 2026
5 min read
Multiple Models
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
models = {
'Logistic': LogisticRegression(),
'Random Forest': RandomForestClassifier(),
'Gradient Boosting': GradientBoostingClassifier()
}
for name, model in models.items():
model.fit(X_train, y_train)
print(f"{name}: {model.score(X_test, y_test):.2%}")
*Day 145: Model Evaluation.*