AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 60 · 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.⏩ 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
2. 2.⏩ 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
3. 3.True or false: “labelled fruit photos” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
5. 5.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) recorded spoken words (d) what training builds
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
7. 7.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
9. 9.⏩ 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
10. 10.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
11. 11.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
12. 12.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
17. 17.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new fruit photo (d) recorded spoken words
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
19. 19.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
20. 20.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) labelled fruit photos (d) the learned patterns
21. 21.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
23. 23.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) what training builds
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
28. 28.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
29. 29.True or false: “recorded spoken words” is training data. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
32. 32.True or false: “the learned patterns” is the model. (a) False (b) True
33. 33.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
34. 34.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
35. 35.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) tomorrow’s rain guess (d) labelled fruit photos
36. 36.True or false: “typing a new spoken word” is training data. (a) False (b) True
37. 37.⏩ 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
38. 38.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
39. 39.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds

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