How to use the ML Algorithm Selector Quiz
- 1. Describe the goalSay whether you predict a number, a category, groups or anomalies.
- 2. Describe the dataPick the data type, size and how simple the pattern looks.
- 3. Get the shortlistRead the ranked algorithms and why each one fits.
How recommendations are made
The selector follows the same rules of thumb experienced data scientists use. It first splits by task: regression (a number), classification (a category), clustering (groups with no labels), anomaly detection or dimensionality reduction. Then it adjusts for data type, because images and text need different models from tables, and for size and the need to explain predictions.
For example, answering predict a category, tables, 1,000 to 100,000 rows, must be easy to explain and mostly linear puts Logistic Regression at the top, followed by a shallow decision tree and gradient boosting. Logistic regression gives probabilities and coefficients a manager can read; boosting is there to show what extra accuracy is possible.
Use it as a starting point
- Start simple. A baseline such as logistic or linear regression tells you whether a complex model is worth it.
- Compare on held-out data. Try two or three algorithms on the same test set and pick on evidence.
- Tabular data: gradient boosting (XGBoost, LightGBM) wins most competitions.
- Images and long text: pre-trained deep models usually beat building from scratch.
No guide can know your data. The output is rule-based advice, not a promise of results. Test your knowledge of these algorithms with the machine learning MCQ quiz, then plan your split with the train-test split calculator.
Frequently asked questions
Is this an AI recommendation?
No. It is a transparent set of rules based on common practice, written by Uncodemy trainers.
What if my problem fits two goals?
Run it twice, once for each goal. Many projects combine models, such as clustering customers before predicting churn.
Is the ML Algorithm Selector Quiz free?
Yes, the ML Algorithm Selector Quiz is free. The first time you get your first recommendation, you are asked for your name and WhatsApp number once. After that, this and every other Uncodemy tool opens straight away without the form.