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Checklist ONIA 2026 County Stage, Grades 11–12 · Task 2

Juditis Mission

Romanian title: Misiunea Juditis

Compute two statistics of a comic-book hero dataset, regress the combat power statistic and classify the Super Strength ability.

  • Tabular
  • Statistics + regression + binary classification
  • Romanian original

The task

After a cosmic event merged several comic-book universes, an agency collected data on the heroes: descriptive attributes (publisher, gender, race, eye and hair colour, height, weight, alignment), binary abilities and numeric power statistics.

Task 1 asks for the number of distinct publishers and task 2 for the publisher with the most heroes of 'good' alignment (ties broken alphabetically). Task 3 asks for powerstats__combat and task 4 for the binary Super Strength ability of each hero in test.csv.

Abridged and translated by SOTA from the official Romanian materials. The official statement has the exact rules, and it wins wherever this summary differs.

At a glance

You get
train.csv (505 rows, 103 columns) and test.csv (100 rows, without powerstats__combat and Super Strength). Archive of 82,121 bytes.
You submit
CSV with id, subtaskID (task1–task4) and answer; tasks 1–2 use id GLOBAL; task 4 answers are 0.0 or 1.0.
Scoring
Tasks 1–2 (10 points each): exact match. Task 3 (40): MAE; 40 points if MAE ≤ 12.0, 0 if ≥ 30.0, otherwise 40 × (30 − MAE)/(30 − 12). Task 4 (40): accuracy; 40 points if ≥ 0.90, 0 if ≤ 0.55, otherwise 40 × (acc − 0.55)/(0.90 − 0.55).
Rules
  • On-site at county competition centres, in a prepared Docker/Jupyter environment (VS Code also available)
  • Problem statements unlocked with a password handed out in the room
  • Only the listed documentation may be consulted (NumPy, scikit-learn, OpenCV, Python, pandas, Matplotlib, seaborn, PyTorch, SciPy, CatBoost, Joblib)
Format
ONIA 2026 county stage, grades 11–12, 14 March 2026.

Details

Year
2026, County centres, Romania
Round
County Stage, Grades 11–12 · Task 2
Language
Romanian
License
Not stated by the source