AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 714 · 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: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
2. 2.True or false: “flagging a new email” is training data. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
4. 4.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
5. 5.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) flagging a new email (d) labelled fruit photos
6. 6.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
8. 8.True or false: “the trained program” is a prediction. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “flagging a new email” is the model. (a) False (b) True
11. 11.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
12. 12.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) flagging a new email (d) naming a new fruit photo
13. 13.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) the trained program
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
15. 15.True or false: “naming a new fruit photo” is the model. (a) True (b) False
16. 16.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “recorded spoken words” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) naming a new fruit photo
21. 21.True or false: “recorded spoken words” is training data. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
23. 23.⏩ 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
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “naming a new fruit photo” is training data. (a) False (b) True
26. 26.🔮 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
27. 27.True or false: “the learned patterns” is a prediction. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
30. 30.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
32. 32.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes 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) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) labelled fruit photos
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
36. 36.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
37. 37.True or false: “labelled fruit photos” is training data. (a) False (b) True
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
40. 40.True or false: “recorded spoken words” is a prediction. (a) False (b) True

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