AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 698 · 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 a prediction? (a) past weather records (b) recorded spoken words (c) the trained program (d) flagging a new email
2. 2.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
3. 3.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) tomorrow’s rain guess
4. 4.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
6. 6.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is training data? (a) past weather records (b) naming a new leaf (c) tomorrow’s rain guess (d) naming a new fruit photo
10. 10.Which of these is training data? (a) flagging a new email (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
15. 15.⏩ 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
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) naming a new fruit photo
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
20. 20.⏩ 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
21. 21.True or false: “old emails marked spam” is training data. (a) True (b) False
22. 22.True or false: “the learned patterns” is the model. (a) True (b) False
23. 23.True or false: “naming a new fruit photo” is training data. (a) False (b) True
24. 24.⏩ 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
25. 25.True or false: “recorded spoken words” is the model. (a) True (b) False
26. 26.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
28. 28.Which of these is the model? (a) flagging a new email (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
31. 31.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) what training builds (d) typing a new spoken word
32. 32.True or false: “typing a new spoken word” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
34. 34.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
35. 35.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
38. 38.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
40. 40.Which of these is the model? (a) past weather records (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess

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