论文信息 - Feature Interaction in Terms of Prediction Performance - 字舞流文

Feature Interaction in Terms of Prediction Performance

Sejong Oh | Sejong Oh

[1] Franco Turini,et al. A Survey of Methods for Explaining Black Box Models , 2018, ACM Comput. Surv..

[2] Cynthia Rudin,et al. Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the "Rashomon" Perspective , 2018 .

[3] Bogdan E. Popescu,et al. PREDICTIVE LEARNING VIA RULE ENSEMBLES , 2008, 0811.1679.

[4] Andreas Ziegler,et al. Do little interactions get lost in dark random forests? , 2016, BMC Bioinformatics.

[5] D. Rubinfeld,et al. Hedonic housing prices and the demand for clean air , 1978 .

[6] Houtao Deng,et al. Interpreting tree ensembles with inTrees , 2018, International Journal of Data Science and Analytics.

[7] Leo Breiman,et al. Random Forests , 2001, Machine Learning.

[8] Carolin Strobl,et al. Letter to the Editor: On the term ‘interaction’ and related phrases in the literature on Random Forests , 2014, Briefings Bioinform..

[9] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .