AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 150 · 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.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
3. 3.True or false: “naming a new fruit photo” is the model. (a) False (b) True
4. 4.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) past weather records (d) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
7. 7.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) naming a new fruit photo (d) 500 labelled leaf photos
8. 8.Which of these is the model? (a) recorded spoken words (b) past weather records (c) what training builds (d) typing a new spoken word
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
12. 12.True or false: “old emails marked spam” is the model. (a) False (b) True
13. 13.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
14. 14.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) naming a new fruit photo
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
16. 16.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) recorded spoken words (d) flagging a new email
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
18. 18.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
19. 19.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
20. 20.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
21. 21.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
22. 22.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
23. 23.⏩ 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
24. 24.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
25. 25.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
26. 26.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
30. 30.True or false: “the trained program” is the model. (a) False (b) True
31. 31.Which of these is the model? (a) flagging a new email (b) past weather records (c) the learned patterns (d) recorded spoken words
32. 32.True or false: “old emails marked spam” is a prediction. (a) True (b) False
33. 33.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) the trained program
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.⏩ 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
36. 36.True or false: “naming a new fruit photo” is training data. (a) False (b) True
37. 37.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction

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