AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 144 · 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 the model? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) past weather records
2. 2.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) what training builds (d) labelled fruit photos
3. 3.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) naming a new leaf (d) what training builds
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
5. 5.True or false: “naming a new fruit photo” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
8. 8.Which of these is the model? (a) naming a new leaf (b) the trained program (c) flagging a new email (d) labelled fruit photos
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
10. 10.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) naming a new leaf
11. 11.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
12. 12.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) naming a new fruit photo
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
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: “the learned patterns”? (a) training data (b) the model (c) a prediction
16. 16.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
17. 17.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
19. 19.True or false: “naming a new leaf” is training data. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
21. 21.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
22. 22.⏩ 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
23. 23.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “the trained program” is training data. (a) False (b) True
26. 26.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) past weather records (d) the learned patterns
27. 27.True or false: “labelled fruit photos” is the model. (a) False (b) True
28. 28.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) what training builds
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
31. 31.True or false: “typing a new spoken word” is training data. (a) True (b) False
32. 32.True or false: “naming a new fruit photo” is the model. (a) True (b) False
33. 33.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
34. 34.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
37. 37.True or false: “recorded spoken words” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word

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