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The purpose of the Spam Filter Web Service is to assist colleges in making accurate and informed decisions on whether an application coming in through CCCApply is fraudulent or not. At the heart of the web service is a machine learning , continuous-training model that does NOT make decisions, it just predicts whether an application meets specific "identifiers" that have been collected and analyzed by the model based on thousands of confirmed spam applications submitted by the colleges.
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