Table of Contents
Analysis of Predictions and Actual Recordings
High Temperature Predictions:
- My Predictions: A total of 6 out of 30 high-temperature predictions were accurate, resulting in a 20% pass rate.
- BOM Predictions: The BOM achieved a 90% pass rate with 27 out of 30 high-temperature predictions being accurate.
Clearly, there’s a significant performance gap, indicating that my high-temperature prediction script requires fine-tuning. I think I might have summarised the wrong data set; I will have to look at the scripts.
Low Temperature Predictions:
- My Predictions: 16 out of 30 predictions were accurate, equating to a 53.33% pass rate.
- BOM Predictions: The BOM scored a 73.33% pass rate with 22 accurate predictions.
Although my low-temperature predictions were relatively better, still not what I expected, it usually is well above the 70% score. There’s room for improvement to match BOM’s precision.
Precipitation Predictions:
- My Predictions: With 27 out of 30 predictions correct, I achieved a 90% pass rate.
- BOM Predictions: BOM slightly outperformed with a 93.33% pass rate, securing 28 accurate predictions.
Precipitation predictions remain my strong suit, closely aligning with BOM’s results.
In conclusion, while my precipitation predictions are not too dire, the discrepancies in high-temperature predictions highlight that something has gone wrong. I usually have a better score than this.
Dayboro.AU
BOM
Inigo Jones
I recently started playing with the Inigo Jones method, so it is only fair to add those results as well. Generally, I create an Inigo Jones method prediction a month and a year in advance.
