AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 622 · 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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) labelled fruit photos
4. 4.True or false: “the trained program” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
10. 10.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
11. 11.⏩ 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
12. 12.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) 500 labelled leaf photos (d) what training builds
13. 13.True or false: “old emails marked spam” is a prediction. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
15. 15.True or false: “recorded spoken words” is the model. (a) False (b) True
16. 16.True or false: “old emails marked spam” is training data. (a) False (b) True
17. 17.True or false: “flagging a new email” is the model. (a) True (b) False
18. 18.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) typing a new spoken word (d) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
20. 20.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
21. 21.True or false: “old emails marked spam” is the model. (a) True (b) False
22. 22.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
24. 24.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
27. 27.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
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) past weather records (d) the learned patterns
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
34. 34.True or false: “flagging a new email” is a prediction. (a) False (b) True
35. 35.⏩ 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
36. 36.True or false: “the learned patterns” is training data. (a) True (b) False
37. 37.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
39. 39.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
40. 40.True or false: “what training builds” is training data. (a) False (b) True

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