AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 535 · 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 the model? (a) labelled fruit photos (b) flagging a new email (c) typing a new spoken word (d) the trained program
2. 2.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) typing a new spoken word
3. 3.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
4. 4.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
5. 5.True or false: “old emails marked spam” is the model. (a) False (b) True
6. 6.Which of these is a prediction? (a) the trained program (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
7. 7.True or false: “the learned patterns” is the model. (a) True (b) False
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
12. 12.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) flagging a new email
13. 13.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) 500 labelled leaf photos
14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
15. 15.True or false: “what training builds” is training data. (a) True (b) False
16. 16.True or false: “naming a new leaf” is a prediction. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
23. 23.⏩ 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
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) typing a new spoken word
26. 26.⏩ 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
27. 27.Which of these is the model? (a) past weather records (b) flagging a new email (c) what training builds (d) recorded spoken words
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) typing a new spoken word (d) labelled fruit photos
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
32. 32.True or false: “what training builds” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is a prediction? (a) the trained program (b) past weather records (c) what training builds (d) naming a new fruit photo
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
39. 39.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
40. 40.True or false: “the trained program” is a prediction. (a) False (b) True

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