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🇮🇩 Indonesia IOAI selection 2025, Pelatnas IOAI practice 3 (Kaggle, Jun 2025)

Wine Category Classification

Predict a combined quality-and-colour wine category (e.g. 'good red') from physico-chemical features, scored by accuracy.

Read the statement
Statement
Indonesian · Read it in English (Google Translate)
Data
Data on Kaggle ↗
To hand in
A predictions file
Hardware
A laptop is enough (CPU)
Data type
📊 Tables
Estimated difficulty
Unknown

Get ready on the platform

The foundations of the learning path for this kind of data.

Python basics
NumPy & vectors
Probability
Statistics
Supervised models 1
Supervised models 2
Evaluation methodology
The problem
›How to tackle it
  1. Read the statement. What to hand in, the metric that scores you, the time and hardware limits.
  2. Explore the data. Size, format, missing values, how the labels are spread.
  3. Score yourself first. Keep part of the training data aside to measure your work before submitting.
  4. Start simple, then improve. A first solution that works end to end, then one change at a time.
  5. Compare with a solution. Once you have searched, open it and see what you would have done differently.

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