AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 680 · 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.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) naming a new leaf
3. 3.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
5. 5.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
8. 8.True or false: “old emails marked spam” is training data. (a) True (b) False
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
12. 12.⏩ 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
13. 13.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) naming a new leaf (d) the trained program
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
15. 15.True or false: “labelled fruit photos” is training data. (a) True (b) False
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
18. 18.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
19. 19.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
20. 20.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
21. 21.True or false: “past weather records” is a prediction. (a) True (b) False
22. 22.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
24. 24.True or false: “naming a new leaf” is training data. (a) True (b) False
25. 25.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
27. 27.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
28. 28.True or false: “naming a new leaf” is a prediction. (a) False (b) True
29. 29.True or false: “the learned patterns” is the model. (a) False (b) True
30. 30.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) labelled fruit photos (d) what training builds
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “the trained program” is the model. (a) False (b) True
33. 33.⏩ 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
34. 34.True or false: “past weather records” is training data. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
36. 36.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) labelled fruit photos
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model

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