Practice Key Ml Terminology (5) - Introduction to Machine Learning

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9 questions

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5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What are features in Machine Learning?
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Think about the data we provide to the model.
Question 2.
What is a target variable?
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What do we want to find out from the data?
3Question 3.
What does 'features' refer to in Machine Learning?
- Input variables
- Output variables
- Trained models
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These are what we feed into the model.
4Question 4.
True or False: Overfitting occurs when a model performs well on unseen data.
- True
- False
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Consider how the model behaves on new data.
Question 5.
You are given a dataset to predict housing prices. Identify potential features and targets for your model and discuss why they are critical.
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Think about what information influences price most.
Question 6.
Design a simple strategy to prevent overfitting in a model you build. Discuss at least two methods.
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What techniques help manage model complexity?

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