AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 402 · 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) typing a new spoken word (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
4. 4.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) what training builds
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
8. 8.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) labelled fruit photos (d) old emails marked spam
10. 10.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
11. 11.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
12. 12.⏩ 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
13. 13.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
14. 14.True or false: “labelled fruit photos” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
17. 17.True or false: “recorded spoken words” is a prediction. (a) True (b) False
18. 18.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
19. 19.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
21. 21.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “the learned patterns” is a prediction. (a) True (b) False
24. 24.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) naming a new fruit photo (d) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
26. 26.True or false: “recorded spoken words” is the model. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
28. 28.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) tomorrow’s rain guess
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
31. 31.Which of these is training data? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) the trained program
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
34. 34.True or false: “the learned patterns” is training data. (a) True (b) False
35. 35.True or false: “flagging a new email” is a prediction. (a) True (b) False
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
38. 38.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
39. 39.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

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