AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 842 · 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.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
2. 2.⏩ 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
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: “the trained program”? (a) a prediction (b) training data (c) the model
5. 5.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
6. 6.True or false: “typing a new spoken word” is the model. (a) True (b) False
7. 7.🔮 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
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) flagging a new email (d) the trained program
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
12. 12.True or false: “naming a new leaf” is a prediction. (a) True (b) False
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
17. 17.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) naming a new leaf
18. 18.True or false: “the trained program” is a prediction. (a) False (b) True
19. 19.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) tomorrow’s rain guess
20. 20.True or false: “old emails marked spam” is the model. (a) False (b) True
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “old emails marked spam” is training data. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
27. 27.⏩ 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
28. 28.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
30. 30.Which of these is the model? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “recorded spoken words” is a prediction. (a) True (b) False
34. 34.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
35. 35.⏩ 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
36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
39. 39.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
40. 40.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam

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