AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 494 · 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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
2. 2.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
3. 3.True or false: “naming a new fruit photo” is the model. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
5. 5.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
6. 6.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) naming a new leaf
7. 7.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) past weather records
8. 8.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
10. 10.Which of these is the model? (a) recorded spoken words (b) the trained program (c) typing a new spoken word (d) old emails marked spam
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
12. 12.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
16. 16.⏩ 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
17. 17.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
18. 18.True or false: “the learned patterns” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
21. 21.True or false: “past weather records” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
24. 24.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
25. 25.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) recorded spoken words (d) the learned patterns
26. 26.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) typing a new spoken word
27. 27.True or false: “naming a new leaf” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
32. 32.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) typing a new spoken word
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
34. 34.True or false: “recorded spoken words” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
37. 37.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
38. 38.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “labelled fruit photos” is a prediction. (a) False (b) True

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