AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 53 · 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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
2. 2.True or false: “the trained program” is the model. (a) True (b) False
3. 3.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
5. 5.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
6. 6.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
7. 7.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
8. 8.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
11. 11.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
12. 12.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new fruit photo (d) 500 labelled leaf photos
14. 14.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
16. 16.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
18. 18.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) flagging a new email (d) the trained program
19. 19.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
20. 20.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
25. 25.⏩ 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
26. 26.True or false: “flagging a new email” is a prediction. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “flagging a new email” is training data. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “the learned patterns” is a prediction. (a) True (b) False
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
37. 37.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new leaf
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam

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