AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 604 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
3. 3.True or false: “old emails marked spam” is training data. (a) False (b) True
4. 4.True or false: “what training builds” is training data. (a) True (b) False
5. 5.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) labelled fruit photos
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
12. 12.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
13. 13.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the trained program (d) the learned patterns
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
16. 16.True or false: “typing a new spoken word” is the model. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
18. 18.True or false: “what training builds” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
23. 23.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
24. 24.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
25. 25.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new leaf (d) old emails marked spam
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
28. 28.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
31. 31.True or false: “labelled fruit photos” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
33. 33.True or false: “flagging a new email” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
35. 35.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
36. 36.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
37. 37.True or false: “the learned patterns” is training data. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
40. 40.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word

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