AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 578 · 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.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
4. 4.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
5. 5.Which of these is training data? (a) flagging a new email (b) what training builds (c) recorded spoken words (d) naming a new fruit photo
6. 6.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) past weather records
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
8. 8.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
9. 9.⏩ 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
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
12. 12.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
13. 13.True or false: “naming a new leaf” is training data. (a) True (b) False
14. 14.True or false: “old emails marked spam” is training data. (a) False (b) True
15. 15.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) old emails marked spam (d) typing a new spoken word
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “past weather records” is a prediction. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
22. 22.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
23. 23.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) typing a new spoken word (d) the trained program
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
28. 28.True or false: “what training builds” is the model. (a) False (b) True
29. 29.True or false: “old emails marked spam” is the model. (a) True (b) False
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
34. 34.Which of these is a prediction? (a) what training builds (b) the trained program (c) tomorrow’s rain guess (d) the learned patterns
35. 35.True or false: “typing a new spoken word” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
38. 38.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
39. 39.True or false: “the trained program” is a prediction. (a) True (b) False
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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