AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 612 · 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.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
2. 2.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is training data? (a) the trained program (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
6. 6.True or false: “flagging a new email” is the model. (a) True (b) False
7. 7.🔮 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
8. 8.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
10. 10.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) recorded spoken words
11. 11.True or false: “labelled fruit photos” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
13. 13.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
15. 15.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) old emails marked spam (d) the trained program
16. 16.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) past weather records (d) old emails marked spam
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.True or false: “recorded spoken words” is training data. (a) True (b) False
21. 21.True or false: “flagging a new email” is training data. (a) False (b) True
22. 22.True or false: “old emails marked spam” is training data. (a) False (b) True
23. 23.True or false: “the learned patterns” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
25. 25.🧪 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
26. 26.True or false: “naming a new leaf” is training data. (a) False (b) True
27. 27.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
32. 32.True or false: “old emails marked spam” is a prediction. (a) True (b) False
33. 33.True or false: “what training builds” is a prediction. (a) True (b) False
34. 34.⏩ 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
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the trained program (d) past weather records
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
40. 40.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels

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