v1 Baseline
Kaggle Notebook
Score
LB: ~0.77 (default submission from official starter tutorial)
Changes
Kaggle official starter tutorial notebook, using basic features and default RandomForest.
- Features:
Pclass,Sex,SibSp,Parch(only 4 raw features) - Model:
RandomForestClassifier(n_estimators=100, max_depth=5) - Missing values: Age/Fare/Cabin missing not handled
- Encoding:
pd.get_dummiesonly for Sex
Rationale
Build the first runnable baseline and get familiar with the Kaggle submission flow.
Result Analysis
Sexalone achieves ~0.77- Feature utilization insufficient; Age/Fare/Name information not exploited