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We present an algorithm for building probabilistic rule lists that is two orders of magnitude faster than previous work.
On the quasi-optimal solution of the general covering problem
Michalski, R. S. (1969) · 1969
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The robust beauty of improper linear models in decision making
Dawes, R. M. (1979) · 1979
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Learning Efficient Classification Procedures and Their Application to Chess End Games
Quinlan, J. R. (1983) · 1983
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Prism: An algorithm for inducing modular rules
Cendrowska, J. (1987) · 1987
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Learning decision lists
Rivest, R. L. (1987) · 1987
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The cn2 induction algorithm
Clark, P., and Niblett, T. (1989) · 1989
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Very simple classification rules perform well on most commonly used datasets
Holte, R. C. (1993) · 1993
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Inductive logic programming: Theory and methods
Muggleton, S., and De Raedt, L. (1994) · 1994
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Teleo-reactive programs for agent control
Nilsson, N. J. (1994) · 1994
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Theory and applications of agnostic pac-learning with small decision trees.
Auer, P., Holte, R. C., and Maass, W. (1995) · 1995
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Fast effective rule induction
Cohen, W. W. (1995) · 1995
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Optimal decision trees
Bennett, K. P., and Blue, J. A. (1996) · 1996
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Induction of shallow decision trees.
Dobkin, D., Fulton, T., Gunopulos, D., Kasif, S., and Salzberg, S. (1996) · 1996
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Machine learning: between accuracy and interpretability
Bratko, I. (1997) · 1997
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A Bayesian CART algorithm
Dension, D., Mallick, B., and Smith, A. (1998) · 1998
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Beyond predictive accuracy: what?
Giraud-Carrier, C. (1998) · 1998
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Integrating classification and association rule mining
Liu, B., Hsu, W., and Ma, Y. (1998) · 1998
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CMAR: accurate and efficient classification based on multiple class-association rules
Li, W., Han, J., and Pei, J. (2001) · 2001
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Bayesian treed models
Chipman, H. A., George, E. I., and McCulloch, R. E. (2002) · 2002
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The decision list machine
Sokolova, M., Marchand, M., Japkowicz, N., and Shawe-Taylor, J. (2003) · 2003
Cited alongside, same era.
Cpar: classification based on predictive association rules
Yin, X., and Han, J. (2003) · 2003
Cited alongside, same era.
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
Huysmans, J., Dejaeger, K., Mues, C., Vanthienen, J., and Baesens, B. (2011) · 2011
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Bayesian hierarchical rule modeling for predicting medical conditions
McCormick, T. H., Rudin, C., and Madigan, D. (2012) · 2012
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Making machine learning models interpretable
Vellido, A., Martín-Guerrero, J. D., and Lisboa, P. J. (2012) · 2012
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UCI machine learning repository.
Bache, K., and Lichman, M. (2013) · 2013
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Learning theory analysis for association rules and sequential event prediction
Rudin, C., Letham, B., and Madigan, D. (2013) · 2013
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Comprehensible classification models: a position paper
Freitas, A. A. (2014) · 2014
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Anthony, M. (2005) · 2005
Cited alongside, same era.
Learning with decision lists of data-dependent features
Marchand, M., and Sokolova, M. (2005) · 2005
Cited alongside, same era.
Learning interpretable models
Rüping, S. (2006) · 2006
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A fast way to produce optimal fixed-depth decision trees
Farhangfar, A., Greiner, R., and Zinkevich, M. (2008) · 2008
Cited alongside, same era.
Predictive learning via rule ensembles
Friedman, J. H., and Popescu, B. E. (2008) · 2008
Cited alongside, same era.
BART: Bayesian additive regression trees
Chipman, H. A., George, E. I., and McCulloch, R. E. (2010) · 2010
Cited alongside, same era.
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Computer-assisted keyword and document set discovery from unstructured text
King, G., Lam, P., and Roberts, M. (2014) · 2014
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Directional decision lists
Goessling, M., and Kang, S. (2015) · 2015
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Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model
Letham, B., Rudin, C., McCormick, T. H., and Madigan, D. (2015) · 2015
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Learning optimized lists of classification rules
Rudin, C., and Ertekin, S. (2015) · 2015
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Learning classification models of cognitive conditions from subtle behaviors in the digital clock drawing test
Souillard-Mandar, W., Davis, R., Rudin, C., Au, R., Libon, D. J., Swenson, R., Price, C. C., Lamar, M., and Penney, D. L. (2015) · 2015
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https://community.watsonanalytics.com/wp-content/uploads/2015/03/WA_Fn-UseC_-Telco-Customer-Churn.csv
WatsonAnalytics, I. (2015) · 2015
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Using decision lists to construct interpretable and parsimonious treatment regimes
Zhang, Y., Laber, E., Tsiatis, A., and Davidian, M. (2015) · 2015
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Learning certifiably optimal rule lists for categorical data.
Angelino, E., Larus-Stone, N., Alabi, D., Seltzer, M., and Rudin, C. (2017) · 2017
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