AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 593 · 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: “naming a new leaf” is training data. (a) True (b) False
2. 2.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the learned patterns (d) the trained program
3. 3.True or false: “what training builds” is the model. (a) True (b) False
4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
5. 5.⏩ 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
6. 6.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
7. 7.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
8. 8.True or false: “old emails marked spam” is training data. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
10. 10.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) the trained program (d) what training builds
11. 11.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) labelled fruit photos
12. 12.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
13. 13.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
15. 15.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
18. 18.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
19. 19.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
20. 20.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
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: “the trained program”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
30. 30.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) past weather records (d) flagging a new email
31. 31.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
32. 32.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
33. 33.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
34. 34.True or false: “past weather records” is the model. (a) False (b) True
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
36. 36.True or false: “old emails marked spam” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “the trained program” is training data. (a) False (b) True

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