Fixed-mix trainer comparison
Manual worksheet · GTO Gecko ·
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Completed synthetic example
Metric: accepted / attempted decisions under one unchanged binary reference rubric. This is not an app grading formula.
Fixed sets: A = familiar situations; B = developing situations. These labels and memberships stay fixed. They are not calibrated difficulty classes.
Reference: 50% A, 50% B; equal importance for the two sets. This is an illustrative reference, not a population estimate.
Scroll sideways on a narrow screen. Contributions are reference weight × set rate.
| Set | Weight | Earlier count | Earlier contribution | Later count | Later contribution |
|---|---|---|---|---|---|
| A | 50% | 72/80 = 90% | 45 points | 19/20 = 95% | 47.5 points |
| B | 50% | 8/20 = 40% | 20 points | 40/80 = 50% | 25 points |
| Benchmark | 100% | — | 65% | — | 72.5% |
Raw pooled results: earlier 80/100 = 80%; later 59/100 = 59%. Benchmark change: +7.5 percentage points.
Interpretation: both recorded set rates rose, while attempts shifted toward the lower-rate set. The fixed-mix summary rose. This does not establish lasting learning or poker results.
Blank benchmark record
Earlier period: __________________ Later period: __________________
Game, positions, stacks, action context and reference version:
Fixed set definitions and within-set task selection method:
Binary acceptance rule; hints, retries and answer-reveal treatment:
Reference weights chosen on: __________ Why this mix:
Use nonnegative weights summing to 100%. Keep all denominators. Add rows for additional sets; keep each attempt in exactly one set.
| Set | Weight | Earlier accepted / attempts | Earlier weighted rate | Later accepted / attempts | Later weighted rate |
|---|---|---|---|---|---|
| A | |||||
| B | |||||
| Total | 100% |
Raw pooled rate earlier: __________ later: __________
Fixed-mix rate earlier: __________ later: __________
Change in percentage points (later minus earlier): __________
Missing sets, changed definitions, small counts or other limitations:
What the comparison supports; what remains uncertain:
Do not fill a missing rate with zero, carry forward its earlier value or silently renormalize. If you define a narrower benchmark, name the omitted set. Evaluation weights need not equal practice allocation.