F1: 87.47
Papers with Code · CC BY-SA 4.0
Time Series Analysis
Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and engineering to analyze patterns and trends in data over time. The goal of time series analysis is to identify the underlying patterns, trends, and seasonality in the data, and to use this information to make informed predictions about future values.
<span style="color:grey; opacity: 0.6">( Image credit: Autoregressive CNNs for Asynchronous Time Series )</span>
논문
MSE: 0.194MAE: 0.355
% Test Accuracy: 97.73
MSE: 0.166MAE: 0.323
MSE: 0.2088MAE: 0.371
MSE: 0.391
MSE: 0.166MAE: 0.329
MSE: 0.171MAE: 0.336
% Test Accuracy: 98.11
% Test Accuracy: 95.27
MAE: 0.1322
MSE: 0.204MAE: 0.367
% Test Accuracy: 97.40
MSE: 0.166MAE: 0.332
MSE: 0.18MAE: 0.345
% Test Accuracy: 98.51
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting
RMSE: 0.072
MSE: 1.226MAE: 0.653