What are the best metrics to evaluate AI algorithm performance with time-series data?
Time-series data are sequences of observations that are ordered in time, such as stock prices, weather patterns, or sensor readings. AI algorithms can use time-series data to learn from the past, predict the future, or detect anomalies. However, evaluating the performance of AI algorithms with time-series data is not straightforward. You need to choose the right metrics that capture the accuracy, reliability, and robustness of your AI models. In this article, you will learn about some of the best metrics to evaluate AI algorithm performance with time-series data, and how to apply them in different scenarios.