AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 659 · 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: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
2. 2.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) past weather records (d) the trained program
3. 3.True or false: “labelled fruit photos” is the model. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
8. 8.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) flagging a new email
9. 9.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
10. 10.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
11. 11.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) flagging a new email (d) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
14. 14.Which of these is training data? (a) past weather records (b) naming a new leaf (c) the trained program (d) naming a new fruit photo
15. 15.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) labelled fruit photos
16. 16.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
17. 17.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
18. 18.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) typing a new spoken word
19. 19.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) flagging a new email
20. 20.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
21. 21.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
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.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) past weather records (d) tomorrow’s rain guess
25. 25.True or false: “recorded spoken words” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
27. 27.True or false: “what training builds” is a prediction. (a) True (b) False
28. 28.True or false: “what training builds” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
32. 32.True or false: “the learned patterns” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
40. 40.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds

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