Benjamin Jakubowski

Related to #47 is interrogating black box predictors (perhaps using [LIME](https://github.com/marcotcr/lime)). It might be interesting to roll this into coverage of feature importance -- highlighting that globally important features might...

A possible lab topic is calibration. It seems potentially most useful for students to cover [the sklearn CalibratedClassifierCV](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.60.7135&rep=rep1&type=pdf) methods -- perhaps working off this paper or similar.