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Data Detective
Set how much each clue counts.
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Step 1 of 3
What you'll learn in this level
- What a weight does inside a model
- That every problem has different important features
- Why you try settings out and then adjust them
How Important Is What?
Welcome, Detective! Your mission is to figure out which clues are most important for solving different problems.
In Machine Learning, we call these clues 'features'. Giving the right weight to each feature helps the model make better predictions.
How to Play
- 1
Choose a Dataset
Pick a task: houses, health or weather.
- 2
Adjust Weights
With the sliders you set how much each feature counts.
- 3
Train Model
Start the training. Then you see how good your model gets.
- 4
Improve It
Keep changing the values. Your goal is the most accurate model.
Ready to solve some data mysteries?
Guess first, then experiment
You turn one feature's weight all the way up. Does that definitely make the prediction better?