AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 181 · 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: “the learned patterns”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
3. 3.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
4. 4.Which of these is the model? (a) what training builds (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new fruit photo
5. 5.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
6. 6.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
8. 8.Which of these is a prediction? (a) what training builds (b) past weather records (c) labelled fruit photos (d) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
11. 11.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
13. 13.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) flagging a new email (d) recorded spoken words
14. 14.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
16. 16.True or false: “typing a new spoken word” is training data. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
20. 20.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
21. 21.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
24. 24.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
26. 26.True or false: “naming a new fruit photo” is the model. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
28. 28.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the learned patterns (d) what training builds
29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.True or false: “recorded spoken words” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
35. 35.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
38. 38.True or false: “what training builds” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “naming a new fruit photo” is training data. (a) False (b) True

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