AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 314 · 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) the learned patterns (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
2. 2.Which of these is training data? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) what training builds
3. 3.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
5. 5.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) naming a new leaf (d) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) the trained program
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
9. 9.True or false: “labelled fruit photos” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “what training builds” is the model. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
13. 13.⏩ 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
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
16. 16.⏩ 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
17. 17.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
18. 18.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
19. 19.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
20. 20.True or false: “flagging a new email” is training data. (a) False (b) True
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
25. 25.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
27. 27.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) recorded spoken words (d) 500 labelled leaf photos
32. 32.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) naming a new fruit photo (d) what training builds
33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
36. 36.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
37. 37.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
38. 38.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
39. 39.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
40. 40.True or false: “500 labelled leaf photos” is the model. (a) False (b) True

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