ikhbarikhbar/titanic-survival-classifier

Titanic Survival Classifier

Binary classification model predicting passenger survival on the Titanic.

Dataset

• Source: julien-c/titanic-survival
• Task: Binary classification (Survived)

Model

• Type: GradientBoosting
• Framework: scikit-learn

Performance

Metric	Value
CV AUC (mean ± std)	0.8792 ± 0.0214
Test Accuracy	0.7809
Test Precision	0.7419
Test Recall	0.6667
Test F1	0.7023
Test AUC	0.8348

Usage

import skops.io as sio
from huggingface_hub import hf_hub_download

path = hf_hub_download(repo_id="ikhbarikhbar/titanic-survival-classifier", filename="model.skops")
model = sio.load(path, trusted=True)

Features

Numeric: Pclass, Age, Siblings/Spouses Aboard, Parents/Children Aboard, Fare, FamilySize, IsAlone, FarePerPerson Categorical: SexStr, PclassCat, Title, AgeGroup