Hello, I would like to suggest a new classification algorithm for scikit-learn, Averaged one-dependence estimators (AODE). AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see paper (https://link.springer.com/article/10.1007/s10994-005-4258-6). The paper has over 200 citations. There is an existing implementation in the WEKA machine learning suite ( http://weka.sourceforge.net/doc.stable/weka/classifiers/bayes/AODE.html). I’ve made a pull request and I would like some feedback ( https://github.com/scikit-learn/scikit-learn/pull/11093).
Thank You, Dylan
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