AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 688 · 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: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
3. 3.Which of these is training data? (a) past weather records (b) the trained program (c) flagging a new email (d) tomorrow’s rain guess
4. 4.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
5. 5.True or false: “labelled fruit photos” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
7. 7.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
9. 9.True or false: “naming a new leaf” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) typing a new spoken word (d) tomorrow’s rain guess
12. 12.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) labelled fruit photos
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
14. 14.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) recorded spoken words (d) the trained program
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
16. 16.Which of these is training data? (a) naming a new leaf (b) the trained program (c) the learned patterns (d) 500 labelled leaf photos
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
18. 18.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
21. 21.True or false: “old emails marked spam” is the model. (a) False (b) True
22. 22.🧪 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
23. 23.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “old emails marked spam” is training data. (a) True (b) False
28. 28.True or false: “naming a new fruit photo” is the model. (a) True (b) False
29. 29.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
30. 30.⏩ 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
31. 31.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
36. 36.⏩ 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
37. 37.True or false: “naming a new leaf” is a prediction. (a) True (b) False
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) naming a new fruit photo (d) past weather records
40. 40.True or false: “recorded spoken words” is a prediction. (a) False (b) True

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