AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 687 · 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: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “recorded spoken words” is training data. (a) True (b) False
3. 3.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) past weather records (d) naming a new fruit photo
4. 4.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
6. 6.⏩ 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
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “flagging a new email” is a prediction. (a) False (b) True
9. 9.🧪 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
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) old emails marked spam (d) the learned patterns
11. 11.True or false: “naming a new fruit photo” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “the trained program” is the model. (a) False (b) True
14. 14.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) what training builds (d) naming a new leaf
15. 15.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) 500 labelled leaf photos (d) tomorrow’s rain guess
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
18. 18.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
21. 21.True or false: “the learned patterns” is the model. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
24. 24.True or false: “old emails marked spam” is training data. (a) True (b) False
25. 25.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) labelled fruit photos (d) 500 labelled leaf photos
26. 26.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
29. 29.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
30. 30.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) naming a new fruit photo (d) what training builds
31. 31.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) past weather records (d) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) flagging a new email (d) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data

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