AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 130 · 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: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
2. 2.Which of these is a prediction? (a) flagging a new email (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
3. 3.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) labelled fruit photos
4. 4.⏩ 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
5. 5.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) naming a new fruit photo (d) past weather records
6. 6.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
7. 7.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
9. 9.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
10. 10.True or false: “the trained program” is training data. (a) False (b) True
11. 11.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) what training builds (d) old emails marked spam
12. 12.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) typing a new spoken word
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
15. 15.⏩ 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
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
19. 19.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) typing a new spoken word (d) past weather records
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
21. 21.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
22. 22.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
23. 23.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
27. 27.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) what training builds (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
30. 30.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) recorded spoken words
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
32. 32.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
34. 34.True or false: “what training builds” is the model. (a) False (b) True
35. 35.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
36. 36.🧪 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
37. 37.True or false: “what training builds” is training data. (a) False (b) True
38. 38.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
39. 39.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model

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