AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 983 · 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.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) typing a new spoken word (d) recorded spoken words
3. 3.True or false: “what training builds” is a prediction. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
7. 7.True or false: “naming a new leaf” is the model. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
9. 9.Which of these is training data? (a) naming a new leaf (b) what training builds (c) the trained program (d) 500 labelled leaf photos
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
12. 12.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
14. 14.Which of these is training data? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) what training builds
15. 15.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) recorded spoken words
16. 16.True or false: “the trained program” is the model. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
19. 19.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
21. 21.True or false: “past weather records” is the model. (a) True (b) False
22. 22.True or false: “typing a new spoken word” is training data. (a) False (b) True
23. 23.Which of these is training data? (a) the trained program (b) the learned patterns (c) labelled fruit photos (d) flagging a new email
24. 24.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) naming a new fruit photo (d) the learned patterns
25. 25.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
27. 27.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
28. 28.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
30. 30.True or false: “flagging a new email” is a prediction. (a) False (b) True
31. 31.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos

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