AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 285 · 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: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
2. 2.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
3. 3.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) recorded spoken words (d) the learned patterns
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
5. 5.True or false: “old emails marked spam” is the model. (a) True (b) False
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
7. 7.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “the trained program” is the model. (a) False (b) True
12. 12.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
13. 13.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
15. 15.True or false: “the learned patterns” is a prediction. (a) True (b) False
16. 16.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
17. 17.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
19. 19.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
20. 20.True or false: “naming a new leaf” is a prediction. (a) False (b) True
21. 21.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
22. 22.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
23. 23.True or false: “what training builds” is the model. (a) False (b) True
24. 24.Which of these is the model? (a) naming a new leaf (b) past weather records (c) the trained program (d) tomorrow’s rain guess
25. 25.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) naming a new fruit photo
26. 26.True or false: “the learned patterns” is training data. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
28. 28.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
29. 29.True or false: “naming a new fruit photo” is training data. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.⏩ 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
37. 37.True or false: “labelled fruit photos” is training data. (a) True (b) False
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) recorded spoken words
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
40. 40.True or false: “past weather records” is training data. (a) False (b) True

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