AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 692 · 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) labelled fruit photos (b) old emails marked spam (c) flagging a new email (d) the trained program
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
3. 3.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
4. 4.True or false: “the learned patterns” is the model. (a) False (b) True
5. 5.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) flagging a new email
6. 6.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
7. 7.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
8. 8.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
9. 9.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) tomorrow’s rain guess (d) the trained program
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “what training builds” is the model. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
16. 16.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
17. 17.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
21. 21.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) tomorrow’s rain guess
22. 22.True or false: “naming a new leaf” is a prediction. (a) True (b) False
23. 23.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the learned patterns (d) naming a new fruit photo
24. 24.Which of these is training data? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) naming a new leaf
25. 25.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) typing a new spoken word
26. 26.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
27. 27.Which of these is the model? (a) old emails marked spam (b) the trained program (c) past weather records (d) labelled fruit photos
28. 28.True or false: “old emails marked spam” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
30. 30.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
32. 32.True or false: “flagging a new email” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
36. 36.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
38. 38.True or false: “past weather records” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
40. 40.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the trained program (d) flagging a new email

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