AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 309 · 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.True or false: “the learned patterns” is a prediction. (a) True (b) False
2. 2.True or false: “old emails marked spam” is training data. (a) True (b) False
3. 3.True or false: “naming a new leaf” is the model. (a) False (b) True
4. 4.True or false: “naming a new fruit photo” is training data. (a) False (b) True
5. 5.True or false: “recorded spoken words” is a prediction. (a) True (b) False
6. 6.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) flagging a new email
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
9. 9.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
10. 10.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
12. 12.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) tomorrow’s rain guess (d) 500 labelled leaf photos
13. 13.Which of these is the model? (a) past weather records (b) flagging a new email (c) labelled fruit photos (d) what training builds
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) flagging a new email (d) the learned patterns
16. 16.⏩ 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
17. 17.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) typing a new spoken word
18. 18.True or false: “old emails marked spam” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
20. 20.⏩ 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
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “typing a new spoken word” is the model. (a) True (b) False
23. 23.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
24. 24.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
26. 26.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
27. 27.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
32. 32.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
34. 34.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) old emails marked spam (d) the trained program
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
39. 39.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
40. 40.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) past weather records (d) tomorrow’s rain guess

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