AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 97 · 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 fruit photo” is training data. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
3. 3.True or false: “flagging a new email” is a prediction. (a) True (b) False
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
5. 5.⏩ 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
6. 6.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) past weather records (d) naming a new leaf
7. 7.True or false: “naming a new leaf” is a prediction. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) flagging a new email (d) naming a new fruit photo
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
12. 12.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) typing a new spoken word (d) past weather records
13. 13.Which of these is the model? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) typing a new spoken word
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
16. 16.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
18. 18.True or false: “what training builds” is a prediction. (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.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
24. 24.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new fruit photo
25. 25.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
27. 27.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) tomorrow’s rain guess (d) recorded spoken words
28. 28.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
29. 29.Which of these is training data? (a) recorded spoken words (b) the trained program (c) the learned patterns (d) typing a new spoken word
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
32. 32.Which of these is training data? (a) the trained program (b) what training builds (c) past weather records (d) flagging a new email
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos

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