This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In this project, GAIN and VAE with One-Hot and trainable embeddings for categorical variables were built for deep learning methods. MICE and Miss-Forest were chosen for representing conventional statistical methods…
☆19Oct 22, 2024Updated last year
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