AI Worksheet: Training Data, Model, Prediction

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

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