Does a deep learning LTV model outperform gradient boosting after feature engineering on our dataset?
Benchmark XGBoost LightGBM and MLP models on identical holdout sets with consistent features
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Does a deep learning LTV model outperform gradient boosting after feature engineering on our dataset?
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