AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 598 · 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 training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) flagging a new email (d) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) flagging a new email (d) the trained program
4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
6. 6.Which of these is training data? (a) past weather records (b) what training builds (c) typing a new spoken word (d) the trained program
7. 7.True or false: “the trained program” is a prediction. (a) True (b) False
8. 8.True or false: “old emails marked spam” is a prediction. (a) False (b) True
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
10. 10.True or false: “old emails marked spam” is training data. (a) False (b) True
11. 11.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) typing a new spoken word
12. 12.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
13. 13.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) flagging a new email (d) what training builds
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
19. 19.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
20. 20.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) naming a new leaf
21. 21.True or false: “recorded spoken words” is a prediction. (a) True (b) False
22. 22.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
26. 26.True or false: “what training builds” is the model. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “naming a new leaf” is training data. (a) False (b) True
29. 29.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
30. 30.True or false: “naming a new leaf” is the model. (a) False (b) True
31. 31.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
32. 32.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) the learned patterns (d) flagging a new email
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
34. 34.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) flagging a new email
35. 35.True or false: “past weather records” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “typing a new spoken word” is the model. (a) True (b) False
38. 38.True or false: “the learned patterns” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds

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