AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 293 · 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.Which of these is training data? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) naming a new leaf
2. 2.True or false: “flagging a new email” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
4. 4.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
5. 5.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
11. 11.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
12. 12.Which of these is the model? (a) the trained program (b) naming a new leaf (c) tomorrow’s rain guess (d) naming a new fruit photo
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
14. 14.Which of these is training data? (a) the learned patterns (b) the trained program (c) typing a new spoken word (d) old emails marked spam
15. 15.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
16. 16.True or false: “naming a new leaf” is training data. (a) False (b) True
17. 17.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) 500 labelled leaf photos (d) naming a new leaf
18. 18.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
20. 20.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
21. 21.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
23. 23.True or false: “past weather records” is training data. (a) True (b) False
24. 24.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
26. 26.⏩ 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
27. 27.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
28. 28.True or false: “the learned patterns” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
30. 30.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
31. 31.Which of these is training data? (a) naming a new leaf (b) the trained program (c) past weather records (d) flagging a new email
32. 32.True or false: “labelled fruit photos” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
35. 35.True or false: “the learned patterns” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
37. 37.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
38. 38.True or false: “the trained program” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction

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