Explaining Predictions by Characteristic Rules

Author:

Alkhatib AmrORCID,Boström HenrikORCID,Vazirgiannis MichalisORCID

Publisher

Springer International Publishing

Reference32 articles.

1. Ribeiro, M., Singh, S., Guestrin, C.: “Why should I trust you?”: explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, 13–17 August 2016, pp. 1135–1144 (2016)

2. Lundberg, S., Lee, S.: A unified approach to interpreting model predictions. Adv. Neural. Inf. Process. Syst. 30, 4765–4774 (2017)

3. Ribeiro, M., Singh, S., Guestrin, C.: Anchors: high-precision model-agnostic explanations. In: AAAI Conference on Artificial Intelligence (AAAI) (2018)

4. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, pp. 487–499 (1994)

5. Kohavi, R., Becker, B., Sommerfield, D.: Improving simple Bayes. In: European Conference On Machine Learning (1997)

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