AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 191 · 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 a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
2. 2.True or false: “recorded spoken words” is a prediction. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
5. 5.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) labelled fruit photos (d) what training builds
6. 6.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) the trained program
7. 7.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) 500 labelled leaf photos (d) tomorrow’s rain guess
8. 8.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) labelled fruit photos (d) old emails marked spam
9. 9.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) the trained program (d) the learned patterns
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
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.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
18. 18.True or false: “old emails marked spam” is the model. (a) True (b) False
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
23. 23.True or false: “old emails marked spam” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
25. 25.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) typing a new spoken word (d) 500 labelled leaf photos
26. 26.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) naming a new leaf (d) what training builds
27. 27.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
28. 28.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) labelled fruit photos (d) tomorrow’s rain guess
29. 29.Which of these is the model? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) 500 labelled leaf photos
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.True or false: “typing a new spoken word” is training data. (a) False (b) True
32. 32.True or false: “what training builds” is the model. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “naming a new leaf” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
37. 37.True or false: “labelled fruit photos” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction

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