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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_dummies only for Sex

Rationale

Build the first runnable baseline and get familiar with the Kaggle submission flow.

Result Analysis

  • Sex alone achieves ~0.77
  • Feature utilization insufficient; Age/Fare/Name information not exploited