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Checklist Cyprus AI Camp 2026 IOAI Selection Camp · Task 5

Cyprus Cars Price Oracle

Predict asking prices of used cars from about 730 real, messy Cyprus classified listings.

  • Tabular
  • Regression with messy tabular and text features

The task

A Limassol car dealer needs a data-driven pricing model. The data are real used-car listings from Bazaraki, a Cyprus classifieds website, with title, location, year, doors, drive, seats, colour, gearbox, mileage, MOT expiry, body type, fuel type, engine size, power and a free-text list of extras; the target is the asking price in EUR (from about 650 to about 650,000).

The data are messy by design (missing values, comma decimal separators, free text), so feature engineering is central.

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 (~730 rows with price), test.csv, sample_submission.csv.
You submit
CSV with Id and price.
Scoring
MAPE; points = max(0, min(100, (0.65 − MAPE) × 200)).
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 3, released 4 Feb 2026, 09:00–12:00 EET, on Kaggle (two tasks per 3-hour session).

Details

Year
2026, Cyprus (in person)
Round
IOAI Selection Camp · Task 5
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