thiruselvan-mle/Titanic-Survival-Prediction

Titanic Survival Prediction

• This is a RandomForest model trained on Kaggle's Titanic dataset.
• It predicts whether a passenger survived or not.

Model Accuracy:

• Accuracy: ~ 81.58 (test set)

Features

• Pclass
• Sex
• Age
• SibSp
• Parch
• Fare
• Embarked
• FamilySize
• IsAlone

Usage

import joblib
import pandas as pd

# Load the model
model = joblib.load('titanic_model.pkl')

# Prepare input data
X_new = pd.DataFrame({
    'Pclass':[3],
    'Sex':[0],
    'Age':[22],
    'SibSp':[1],
    'Parch':[0],
    'Fare':[7.25],
    'Embarked':[2],
    'FamilySize':[2],
    'IsAlone':[0]

})

## Make prediction
prediction = model.predict(X_new)
print("Survived" if prediction[0]==1 else "Not Survived")