The author introduces NCART as a novel interpretable neural network to address the limitations of deep learning models in tabular data analysis, combining decision trees with deep learning for improved performance and interpretability.
提案されたNeural Classification and Regression Tree(NCART)は、決定木の制約を克服し、深層学習モデルと決定木の利点を組み合わせて、タブラーデータの解析に優れたパフォーマンスを提供します。
NCART is a novel interpretable neural network that combines decision trees with deep learning, offering superior performance in analyzing tabular data.
NCART is a novel interpretable neural network that combines decision trees with deep learning, offering superior performance in tabular data analysis.