Checklist OPEIA 2025 Competition · Task 1
The Mistic Alpaca
Engineer at most 100 features from 32×32 textile fragments so that a plain linear regression predicts each textile's value.
The task
In an Andean legend, the Mistic Alpaca Qoriñawi weaves textiles whose value must be predicted; only a 32×32 corner fragment of each textile is available. Contestants may use only scikit-learn LinearRegression with default hyperparameters and at most 100 engineered features; feature generation, training and inference must take no more than 60 seconds on a standard non-GPU Colab instance.
Supervised models may not be used as feature extractors (simple models may be used for feature selection); unsupervised learning is allowed; pretrained models and AutoML are not; validation data may not be used for training.
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
- A pickle file downloaded in the notebook (
1_ml_data_start.pickle) with training and validation data. - You submit
final_predictions.csvand the completed notebook.- Scoring
- Root Mean Square Error.
- Rules
- LinearRegression only; ≤ 100 features; ≤ 60 s per model on CPU.
- Format
- OPEIA 2025, a 14-day team competition (teams of four listed on the results page); dates not stated on the pages opened.