AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 590 · 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 training data? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new fruit photo (d) past weather records
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
4. 4.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
5. 5.True or false: “past weather records” is training data. (a) True (b) False
6. 6.Which of these is the model? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) typing a new spoken word (d) the trained program
10. 10.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
11. 11.True or false: “past weather records” is a prediction. (a) False (b) True
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
13. 13.True or false: “the trained program” is the model. (a) True (b) False
14. 14.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
16. 16.True or false: “naming a new leaf” is training data. (a) True (b) False
17. 17.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) labelled fruit photos
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
20. 20.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
21. 21.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the trained program (d) recorded spoken words
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
24. 24.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
25. 25.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
27. 27.Which of these is the model? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) flagging a new email
28. 28.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
31. 31.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
34. 34.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
35. 35.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) the trained program
40. 40.True or false: “recorded spoken words” is the model. (a) False (b) True

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