Checklist HAIO 2026 Summer Online Qualifier · A task
Counting Snowmen
English title: Hóember számlálás
Regress the number of registered snowmen in a fictional kingdom from weekly weather and economic statistics.
The task
The ruler of the fictional Kingdom of Upper AIland asks for an estimate of the number of registered snowmen from weekly statistics that may be related to it. Because the counts are large and hard to estimate precisely, accuracy is measured by the root mean squared error rather than the mean squared error.
The weekly features are: average temperature (°C), wind speed (m/s), wind direction relative to north (radians), average daily precipitation (mm, column "precipation"), number of frost days, carrot price per kilogram, whether scarves were on sale (0/1), number of action films released, and average household firewood consumption (m³). The target column is "Hoember". Every record has an ID.
The starter notebook explains RMSE with a worked example, splits the labelled data 80/20 and fits a DummyRegressor baseline; the contestant must achieve a lower RMSE than this baseline.
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_labeled.csv(1,000 rows: ID, 9 features, Hoember) andtest.csv(1,000 rows: ID and 9 features); both are published in the repository folder A/adatok.- You submit
- A CSV with columns ID and Hoember for every test row, uploaded to Kaggle as <identifier>_A_<n>.csv, with the matching notebook uploaded separately.
- Scoring
- RMSE (lower is better); the result must beat the DummyRegressor baseline of the starter notebook.
- Rules
- Individual work only; no collaboration and no outside human help.
- The internet and any publicly available online tool, including AI-based tools, may be used; pretrained models are allowed unless the task description forbids them; no hardware restriction.
- At most 35 submissions per task per day; one submission per task must be selected for final scoring.
- The Kaggle team name must be the personal identifier sent by e-mail (e.g. HUN123); the notebooks must be uploaded (DOCK) within 15 minutes after the close.
- Everyone who submits valid solutions to both tasks advances to the national final; if that exceeds 80 contestants, the top 80 on the public leaderboard advance.
- Format
- Summer Online Qualifier (Nyári Online Előválogató) on Kaggle, 31 March 2026 09:00 – 2 April 2026 09:00 (48 hours); two tasks, final ranking by combining the rankings of both tasks.