AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 789 · 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: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
2. 2.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) 500 labelled leaf photos (d) flagging a new email
3. 3.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
5. 5.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
6. 6.⏩ 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
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “old emails marked spam” is training data. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
11. 11.True or false: “recorded spoken words” is training data. (a) False (b) True
12. 12.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) flagging a new email (d) what training builds
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
14. 14.True or false: “what training builds” is the model. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
18. 18.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
20. 20.True or false: “old emails marked spam” is the model. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
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.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
25. 25.True or false: “the trained program” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
27. 27.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) tomorrow’s rain guess
28. 28.True or false: “naming a new leaf” is the model. (a) True (b) False
29. 29.True or false: “naming a new leaf” is a prediction. (a) False (b) True
30. 30.True or false: “typing a new spoken word” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
32. 32.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
33. 33.True or false: “the trained program” is a prediction. (a) False (b) True
34. 34.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
35. 35.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
37. 37.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
38. 38.True or false: “the learned patterns” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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