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Checklist Cyprus AI Camp 2026 IOAI Selection Camp · Task 2

The Enigma of Wine Quality

Predict the expert quality score (3–8) of red Vinho Verde wines from 11 physicochemical measurements.

  • Tabular
  • Multi-class classification (imbalanced)
Read the official statement

The task

Contestants receive physicochemical measurements of Portuguese 'Vinho Verde' red wines (fixed and volatile acidity, citric acid, residual sugar, chlorides, free and total SO₂, density, pH, sulphates, alcohol) and predict the quality rating given by experts.

The classes are strongly imbalanced (in training, quality 5 and 6 make up over 80% and quality 3 has 8 samples).

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
train.csv (1,279 labelled samples), val.csv (320 labelled), public_test.csv and private_test.csv (160 each), sample_submission.csv.
You submit
CSV with Id (0–159 public, 160–319 private) and quality.
Scoring
Weighted F1; points = max(0, min(100, (F1 − 0.40) × 166.67)).
Rules
  • Pre-trained models and additional data are not allowed unless the task says otherwise.
  • No outside help; LLM chats, ChatGPT, Copilot and similar tools are prohibited (except Colab inline autocompletion).
  • Only the Kaggle website and Google Colab may be used (no local IDEs); online library documentation is allowed.
  • One Kaggle account per participant; leaderboard name '[City] Name Surname'.
Format
Cyprus AI Camp 2026 (IOAI 2026 selection, in person, 31 Jan–8 Feb 2026): ML Tables 2, released 2 Feb 2026, 09:00–12:00 EET, on Kaggle (two tasks per 3-hour session).

Notebook

Competition

Details

Year
2026, Cyprus (in person)
Round
IOAI Selection Camp · Task 2
Language
English
License
Kaggle licence field varies by task (MIT; CC BY-NC-SA 4.0; 'Subject to Competition Rules'); see each task's notes, as stated by the source