AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 628 · 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 a prediction? (a) labelled fruit photos (b) recorded spoken words (c) naming a new leaf (d) the trained program
2. 2.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) the learned patterns (d) 500 labelled leaf photos
3. 3.True or false: “flagging a new email” is the model. (a) True (b) False
4. 4.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
5. 5.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) the learned patterns (d) old emails marked spam
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
8. 8.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
9. 9.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
10. 10.⏩ 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
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
12. 12.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
15. 15.True or false: “naming a new leaf” is the model. (a) True (b) False
16. 16.True or false: “the trained program” is the model. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
19. 19.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) the learned patterns (d) the trained program
20. 20.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
22. 22.True or false: “what training builds” is the model. (a) True (b) False
23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
24. 24.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) past weather records (d) what training builds
25. 25.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
27. 27.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
28. 28.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) past weather records (d) the learned patterns
29. 29.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) past weather records
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
33. 33.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
35. 35.Which of these is training data? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction

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