Data Scientist Tom Shafer has been declared the winner of its Blackmarker ML Modeling Contest. Tom’s model outperformed all other contest entries and was validated with a 250 document out-of-sample evaluation set which produced an F-measure that exceeds the threshold for a doubling of the prize money.
According to Zach Buckner, CEO of Blackmarker, “Tom’s model leveraged innovative features that he developed over top of the original data, including some NLP-based features. It also employed some clever tactics, such as altering the shape of the page targets that were provided by a commercial OCR package and by our proprietary Glyphic processing engine. This result is a testament to his exceptional talent as a data scientist. We’re delighted with his work and with the results of the contest, which will be incorporated into our application to drive even greater accuracy.”