AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 753 · 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.True or false: “what training builds” is a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
4. 4.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
5. 5.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) tomorrow’s rain guess (d) the trained program
6. 6.True or false: “the learned patterns” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
8. 8.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
10. 10.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
12. 12.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
13. 13.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
14. 14.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
15. 15.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
17. 17.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) 500 labelled leaf photos (d) recorded spoken words
21. 21.True or false: “past weather records” is the model. (a) True (b) False
22. 22.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) old emails marked spam
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
24. 24.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) old emails marked spam
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
27. 27.Which of these is training data? (a) flagging a new email (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
29. 29.Which of these is a prediction? (a) past weather records (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
30. 30.True or false: “old emails marked spam” is training data. (a) True (b) False
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
39. 39.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
40. 40.⏩ 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

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