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.
( Image credit: Autoregressive CNNs for Asynchronous Time Series )
Papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | naive classifier | F1 | 87.47 | — | Unverified |
| 2 | GRU-D - APC (n = 1) | F1 | 27.3 | — | Unverified |
| 3 | GRU-APC (n = 1) | F1 | 25.7 | — | Unverified |
| 4 | GRU-D | F1 | 22.5 | — | Unverified |
| 5 | GRU | F1 | 22.3 | — | Unverified |
| 6 | GRU-Simple | F1 | 22.2 | — | Unverified |
| 7 | GRU-Mean | F1 | 22.1 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SepTr | % Test Accuracy | 98.51 | — | Unverified |
| 2 | ViT | % Test Accuracy | 98.11 | — | Unverified |
| 3 | FlexTCN-4 | % Test Accuracy | 97.73 | — | Unverified |
| 4 | MatchboxNet | % Test Accuracy | 97.4 | — | Unverified |
| 5 | CKCNN (100k) | % Test Accuracy | 95.27 | — | Unverified |
| 6 | FlexTCN-6 | % Test Accuracy (Raw Data) | 91.73 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ResBiLSTM | MAE | 0.13 | — | Unverified |