AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 101 · 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.True or false: “what training builds” is the model. (a) False (b) True
2. 2.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) tomorrow’s rain guess (d) old emails marked spam
3. 3.True or false: “naming a new leaf” is a prediction. (a) True (b) False
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
7. 7.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) flagging a new email (d) what training builds
8. 8.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) what training builds (d) old emails marked spam
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) typing a new spoken word (d) old emails marked spam
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
14. 14.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
16. 16.⏩ 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
17. 17.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) past weather records (d) flagging a new email
18. 18.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
20. 20.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
21. 21.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
22. 22.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
23. 23.True or false: “typing a new spoken word” is training data. (a) False (b) True
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
25. 25.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
26. 26.True or false: “naming a new fruit photo” is training data. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
28. 28.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.True or false: “what training builds” is training data. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
37. 37.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) typing a new spoken word (d) 500 labelled leaf photos
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
39. 39.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data

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