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Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

机译：决策林：结合多个独立决策树模型的预测

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Weida Tong; Huixiao Hong; Hong Fang; Qian Xie; Roger Perkins;
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年度 2013
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2. Constructing Regression Models with High Prediction Accuracy and Interpretability Based on Decision Tree and Random Forests [J] . Naoto SHIMIZU, Hiromasa KANEKO Journal of computer chemistry . 2021,第2期

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5. Optimal Decision Rule for Combining Multiple Biomarkers into Tree-Based Classifier and Its Evaluation [D] . Zhu, Yuxin 2018

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6. Cross-sectional study: Does combining optical coherence tomography measurements using the ‘Random Forest’ decision tree classifier improve the prediction of the presence of perimetric deterioration in glaucoma suspects? [O] . Koichiro Sugimoto, Hiroshi Murata, Hiroyo Hirasawa, 2013

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Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

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