THE RESULT
What the data shows
The largest computed metric is 0.2168 for productrelated_duration; the smallest is -0.2545 for exitrates. Metric: spearman_rho (Spearman correlation).
Correlation is descriptive. The source metrics summarize pages visited during an already completed session.
| feature | spearman rho | absolute rho | paired rows |
|---|---|---|---|
| exitrates | -0.2545 | 0.2545 | 12,330 |
| productrelated_duration | 0.2168 | 0.2168 | 12,330 |
| administrative_duration | 0.164 | 0.164 | 12,330 |
| bouncerates | -0.149 | 0.149 | 12,330 |
| informational_duration | 0.1121 | 0.1121 | 12,330 |
THE METHOD
From source to answer
Rate-range validation and rank associations with completed-session outcomes.
The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.
THE NEXT DECISION
What follows from the finding
Clarify the analytics platform definitions before treating these fields as interchangeable.
Where the conclusion stops
One observation is a completed session. End-of-session behavior cannot support an early-session prediction claim. PageValues is excluded from purchase models because it can encode downstream purchase information. Associations are not experiment results.
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.