AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 796 · 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.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) old emails marked spam (d) what training builds
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
4. 4.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
5. 5.True or false: “past weather records” is training data. (a) False (b) True
6. 6.True or false: “naming a new leaf” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
8. 8.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new leaf (d) labelled fruit photos
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is the model? (a) what training builds (b) flagging a new email (c) tomorrow’s rain guess (d) typing a new spoken word
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
12. 12.⏩ 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
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
17. 17.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) typing a new spoken word (d) 500 labelled leaf photos
18. 18.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) 500 labelled leaf photos (d) labelled fruit photos
19. 19.True or false: “naming a new leaf” is the model. (a) False (b) True
20. 20.True or false: “recorded spoken words” is the model. (a) True (b) False
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
23. 23.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
25. 25.True or false: “typing a new spoken word” is the model. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
29. 29.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
30. 30.True or false: “the trained program” is a prediction. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
32. 32.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
37. 37.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
38. 38.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
39. 39.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records

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