THE RESULT
What the data shows
The largest computed metric is 0.4022 for (50.0, 70.0]; the smallest is 0.2287 for (0.0, 30.0]. Metric: mae (CO reference-unit MAE).
Missing humidity is retained in an explicit nan group. Error differences do not identify a humidity effect independently of pollutant levels.
| humidity band | test hours | mae |
|---|---|---|
| (0.0, 30.0] | 183 | 0.2287 |
| (30.0, 50.0] | 597 | 0.3216 |
| (50.0, 70.0] | 484 | 0.4022 |
| (70.0, 100.0] | 195 | 0.2651 |
THE METHOD
From source to answer
Stratify held-out residuals by declared humidity ranges.
The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.
EVALUATION
How the result was checked
First 80% of ordered observations train; final 20% test.
Fixed configurations specified before scoring; no tuning on the holdout.
Target and input features
Target: co_gt
Inputs: pt08_s1_co, pt08_s2_nmhc, pt08_s3_nox, pt08_s4_no2, pt08_s5_o3, t, rh, ah
THE NEXT DECISION
What follows from the finding
Use diagnostic differences to plan a calibration study across environmental conditions.
Where the conclusion stops
The -200 sentinel is treated as missing. Reference instruments have incomplete coverage; comparisons use paired observations. Sensor calibration is retrospective, not a health or regulatory compliance assessment.
Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.