AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 507 · 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: “recorded spoken words”? (a) the model (b) training data (c) a prediction
2. 2.🔮 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
3. 3.True or false: “the learned patterns” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
5. 5.True or false: “old emails marked spam” is the model. (a) True (b) False
6. 6.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) labelled fruit photos (d) old emails marked spam
7. 7.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
8. 8.True or false: “naming a new fruit photo” is the model. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
10. 10.Which of these is the model? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) naming a new leaf
11. 11.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
13. 13.True or false: “what training builds” is training data. (a) False (b) True
14. 14.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
19. 19.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
20. 20.Which of these is the model? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) past weather records
21. 21.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
22. 22.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) recorded spoken words
23. 23.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
25. 25.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
26. 26.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) naming a new fruit photo (d) the trained program
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “flagging a new email” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
33. 33.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) old emails marked spam (d) what training builds
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
38. 38.⏩ 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
39. 39.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
40. 40.True or false: “the learned patterns” is a prediction. (a) False (b) True

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