ヴァンダービルトの関連会社 PredictGov は 機械学習 を使用して議会を予測するには|Vanderbilt affiliates’ PredictGov uses machine learning to forecast Congress

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• ヴァンダービルトの関連会社 PredictGov は 機械学習 を使用して議会を予測するには|Vanderbilt affiliates’ PredictGov uses machine learning to forecast Congress

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A new website that forecasts Congressional bills’ success predicted the Affordable Care Act replacement bill would be shelved, awarding it a 15 percent chance of enactment. Users can look up any pending bill on PredictGov or find predictions through its partner, legislation tracker GovTrack, which now includes a “prognosis” line in its overview of each bill. PredictGov, which uses big data and artificial intelligence to reach its conclusions, is the invention of recent Vanderbilt University computer science Ph.D. John Nay, law Professor J.B. Ruhl and their team. PredictGov pulls from decades of Congressional data and hundreds of variables, including the bill’s sponsor, amendments, economic trends and political shifts.
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