AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 987 · 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.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
3. 3.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
4. 4.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) naming a new fruit photo (d) what training builds
5. 5.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) flagging a new email (d) past weather records
6. 6.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
7. 7.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) recorded spoken words (d) what training builds
8. 8.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
9. 9.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
10. 10.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) the trained program (d) tomorrow’s rain guess
11. 11.⏩ 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
12. 12.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) the trained program (d) 500 labelled leaf photos
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
14. 14.True or false: “labelled fruit photos” is training data. (a) True (b) False
15. 15.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) the learned patterns (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
17. 17.True or false: “past weather records” is a prediction. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
20. 20.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
21. 21.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
22. 22.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
23. 23.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
24. 24.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
26. 26.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) naming a new leaf (d) recorded spoken words
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
28. 28.⏩ 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
29. 29.⏩ 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
30. 30.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
31. 31.Which of these is a prediction? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
34. 34.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
36. 36.True or false: “typing a new spoken word” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
39. 39.True or false: “naming a new fruit photo” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns

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