AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 827 · 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: “the trained program”? (a) a prediction (b) training data (c) the model
2. 2.True or false: “recorded spoken words” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
7. 7.⏩ 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
8. 8.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) tomorrow’s rain guess
9. 9.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new leaf
10. 10.True or false: “old emails marked spam” is a prediction. (a) True (b) False
11. 11.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) tomorrow’s rain guess (d) labelled fruit photos
12. 12.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
14. 14.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
16. 16.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) tomorrow’s rain guess
17. 17.⏩ 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
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
19. 19.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) flagging a new email (d) typing a new spoken word
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
22. 22.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
23. 23.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
26. 26.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) naming a new leaf (d) the learned patterns
27. 27.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
28. 28.True or false: “typing a new spoken word” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
30. 30.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
31. 31.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
33. 33.True or false: “recorded spoken words” is the model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
35. 35.⏩ 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
36. 36.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
39. 39.True or false: “the learned patterns” is a prediction. (a) True (b) False
40. 40.True or false: “flagging a new email” is training data. (a) True (b) False

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