AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 362 · 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) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
3. 3.True or false: “old emails marked spam” is training data. (a) False (b) True
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
5. 5.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
7. 7.Which of these is training data? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
8. 8.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
9. 9.True or false: “flagging a new email” is a prediction. (a) False (b) True
10. 10.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
11. 11.True or false: “naming a new leaf” is a prediction. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
16. 16.Which of these is a prediction? (a) past weather records (b) what training builds (c) typing a new spoken word (d) recorded spoken words
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “typing a new spoken word” is training data. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
24. 24.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
27. 27.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
28. 28.True or false: “flagging a new email” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
30. 30.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
31. 31.True or false: “past weather records” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) the trained program
34. 34.Which of these is the model? (a) past weather records (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
35. 35.Which of these is training data? (a) past weather records (b) what training builds (c) the trained program (d) flagging a new email
36. 36.⏩ 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
37. 37.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) tomorrow’s rain guess
38. 38.True or false: “the learned patterns” is a prediction. (a) False (b) True
39. 39.⏩ 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
40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model

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