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Merge pull request #263 from LakshayAggarwal25/main

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Updated Table visualization
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Jen Looper 3 years ago committed by GitHub
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7-TimeSeries/2-ARIMA/README.md
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@ -295,7 +295,7 @@ Walk-forward validation is the gold standard of time series model evaluation and
eval_df.head() eval_df.head()
``` ```
```output Output
| | | timestamp | h | prediction | actual | | | | timestamp | h | prediction | actual |
| --- | ---------- | --------- | --- | ---------- | -------- | | --- | ---------- | --------- | --- | ---------- | -------- |
| 0 | 2014-12-30 | 00:00:00 | t+1 | 3,008.74 | 3,023.00 | | 0 | 2014-12-30 | 00:00:00 | t+1 | 3,008.74 | 3,023.00 |
@ -303,7 +303,7 @@ Walk-forward validation is the gold standard of time series model evaluation and
| 2 | 2014-12-30 | 02:00:00 | t+1 | 2,900.17 | 2,899.00 | | 2 | 2014-12-30 | 02:00:00 | t+1 | 2,900.17 | 2,899.00 |
| 3 | 2014-12-30 | 03:00:00 | t+1 | 2,917.69 | 2,886.00 | | 3 | 2014-12-30 | 03:00:00 | t+1 | 2,917.69 | 2,886.00 |
| 4 | 2014-12-30 | 04:00:00 | t+1 | 2,946.99 | 2,963.00 | | 4 | 2014-12-30 | 04:00:00 | t+1 | 2,946.99 | 2,963.00 |
```
Observe the hourly data's prediction, compared to the actual load. How accurate is this? Observe the hourly data's prediction, compared to the actual load. How accurate is this?

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