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Evaluation Metrics for the Hewlett Foundation's Automated Essay Scoring competition

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Evaluation metrics and benchmarks for the Hewlett Foundation's Automated Student Assessment Prize: Automated Essay Scoring competition.

length_benchmark.py creates a sample submission by training a Random Forest for each essay set from the character and word count features. It requires scikit.learn and the data files to be placed in the data directory to run.

http://www.kaggle.com/c/asap-aes

Open Source Agenda is not affiliated with "ASAP AES" Project. README Source: benhamner/ASAP-AES
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