Updated table visualization

Updated table visualization for output table  on line number 298
pull/915/head
LAKSHAY AGGARWAL 5 years ago committed by GitHub
parent 76b7b01b2c
commit 53f431a592

@ -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?

Loading…
Cancel
Save