AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 658 · 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.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
3. 3.True or false: “labelled fruit photos” is the model. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
5. 5.⏩ 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
6. 6.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
7. 7.Which of these is a prediction? (a) what training builds (b) the trained program (c) 500 labelled leaf photos (d) naming a new leaf
8. 8.⏩ 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
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the learned patterns (d) past weather records
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
12. 12.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
13. 13.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
14. 14.True or false: “flagging a new email” is a prediction. (a) True (b) False
15. 15.True or false: “past weather records” is the model. (a) False (b) True
16. 16.Which of these is training data? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
20. 20.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
21. 21.True or false: “naming a new leaf” is the model. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
24. 24.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
25. 25.True or false: “the trained program” is the model. (a) False (b) True
26. 26.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) flagging a new email (d) the trained program
27. 27.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) flagging a new email
30. 30.Which of these is training data? (a) the trained program (b) the learned patterns (c) past weather records (d) what training builds
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
32. 32.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
36. 36.True or false: “naming a new fruit photo” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
38. 38.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
39. 39.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) typing a new spoken word
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data

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