Titanic survival prediction based on machine learning.
DOI:
https://doi.org/10.61173/9rh9s369Keywords:
machine learning, Titanic guest data, predict data, model analysisAbstract
Using the Titanic guest data offered by Kaggle, we executed data cleansing, feature engineering, and training of various designs, including logistic regression, Random Woodland, XGBoost, and LightGBM versions. We likewise brought out hyperparameter tuning and version combination, and ultimately enhanced the forecast efficiency of the version by heavy average approach. The evaluation results of the model showed that the integrated design surpassed the single design on the test collection, with greater accuracy and ROC AUC ratings.
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