AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 109 · 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.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
4. 4.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
6. 6.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) what training builds (d) 500 labelled leaf photos
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
9. 9.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
10. 10.True or false: “past weather records” is a prediction. (a) False (b) True
11. 11.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
15. 15.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) typing a new spoken word (d) the learned patterns
20. 20.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
23. 23.True or false: “the trained program” is the model. (a) True (b) False
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
29. 29.True or false: “naming a new leaf” is a prediction. (a) False (b) True
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) old emails marked spam (d) naming a new leaf
31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) old emails marked spam (d) the trained program
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
33. 33.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
34. 34.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
35. 35.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
36. 36.True or false: “flagging a new email” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
38. 38.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
39. 39.True or false: “the learned patterns” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words

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