AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 831 · 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: “recorded spoken words”? (a) a prediction (b) the model (c) training data
2. 2.True or false: “what training builds” is the model. (a) True (b) False
3. 3.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
6. 6.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
7. 7.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
8. 8.Which of these is the model? (a) flagging a new email (b) past weather records (c) tomorrow’s rain guess (d) what training builds
9. 9.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
12. 12.True or false: “flagging a new email” is the model. (a) False (b) True
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
15. 15.🔮 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
16. 16.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
21. 21.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
22. 22.Which of these is training data? (a) what training builds (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
23. 23.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
25. 25.⏩ 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
26. 26.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) past weather records (d) labelled fruit photos
27. 27.True or false: “flagging a new email” is a prediction. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
29. 29.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
30. 30.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) old emails marked spam (d) 500 labelled leaf photos
31. 31.True or false: “labelled fruit photos” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
33. 33.True or false: “what training builds” is a prediction. (a) True (b) False
34. 34.True or false: “labelled fruit photos” is the model. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
36. 36.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) typing a new spoken word (d) flagging a new email
37. 37.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) old emails marked spam (d) flagging a new email
38. 38.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) naming a new fruit photo (d) past weather records
39. 39.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess

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