AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 484 · 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 delete its data (b) to change its name (c) to see if it works (d) to make it slower
2. 2.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
3. 3.True or false: “labelled fruit photos” is training data. (a) False (b) True
4. 4.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
5. 5.🔮 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
6. 6.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
8. 8.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
9. 9.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) labelled fruit photos
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 a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) what training builds (d) flagging a new email
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) what training builds (d) labelled fruit photos
20. 20.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) naming a new leaf
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “old emails marked spam” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
24. 24.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
25. 25.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
27. 27.True or false: “recorded spoken words” is training data. (a) True (b) False
28. 28.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) 500 labelled leaf photos (d) typing a new spoken word
29. 29.Which of these is training data? (a) past weather records (b) what training builds (c) typing a new spoken word (d) tomorrow’s rain guess
30. 30.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
31. 31.Which of these is the model? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) old emails marked spam
32. 32.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
33. 33.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
36. 36.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
37. 37.True or false: “old emails marked spam” is training data. (a) True (b) False
38. 38.True or false: “old emails marked spam” is a prediction. (a) True (b) False
39. 39.True or false: “recorded spoken words” is a prediction. (a) False (b) True
40. 40.True or false: “the trained program” is training data. (a) True (b) False

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