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Cover image for MONSTER: A New Standard for Testing Time Series Forecasting Models
Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

MONSTER: A New Standard for Testing Time Series Forecasting Models

This is a Plain English Papers summary of a research paper called MONSTER: A New Standard for Testing Time Series Forecasting Models. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • New repository called MONSTER for evaluating time series models
  • Focuses on scalable benchmarking of forecasting algorithms
  • Addresses bias-variance tradeoff in time series analysis
  • Builds on lessons from machine learning advances
  • Creates standardized evaluation framework

Plain English Explanation

The MONSTER repository helps researchers test time series forecasting models more effectively. Think of it like a standardized testing system for algorithms that predict future values...

Click here to read the full summary of this paper

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