Learning archive · Educational notebook
Computer Performance Prediction
A regression notebook with an explicit holdout.
An educational random-forest regression study of hardware performance using six predictors.
The question
Prediction error needs both a clear unit and an explicit held-out population to be interpretable.
How it works
- Model the recorded hardware-performance target from six predictors.
- Separate a 47-system holdout from the 208-record dataset.
- Inspect regression error alongside explained variation.
Evidence & results
- Stored model evaluation reports test R² of 0.948 on the 47-system holdout.
Scope & next steps
- Historical educational result from one notebook, not a production capacity model.
- The reported estimator is separate from the randomized-search estimator. This shares a repository with Mushroom Classification.
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