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Dummy Titanic
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Dummy Titanic

Developed by danupurnomo
A binary classification model based on the Titanic dataset for predicting whether passengers survived
Molecular Model#Passenger survival prediction#Structured data classification#Neural network inference
Downloads 26
Release Time : 11/21/2022

Model Overview

This model uses a neural network to process Titanic passenger data and predicts the survival probability of passengers in the disaster. The model takes passenger features such as cabin class, gender, age, etc. as input and outputs the survival prediction result (0/1).

Model Features

Structured data processing
Includes a complete data preprocessing pipeline that can automatically handle numerical and categorical features
Neural network model
A neural network classifier implemented using TensorFlow
End-to-end prediction
Provides a complete process from raw data to final prediction

Model Capabilities

Structured data classification
Survival probability prediction
Binary classification inference

Use Cases

Historical data analysis
Titanic survival analysis
Analyze the impact of different passenger features on the survival rate
Can predict the survival probability of specific passenger features
Teaching demonstration
Machine learning teaching case
As a standard teaching example for binary classification problems
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