AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 992 · 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.🧪 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
2. 2.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
4. 4.⏩ 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
5. 5.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
6. 6.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) typing a new spoken word
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
9. 9.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
13. 13.True or false: “typing a new spoken word” is training data. (a) False (b) True
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
15. 15.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
16. 16.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) flagging a new email (d) recorded spoken words
17. 17.True or false: “labelled fruit photos” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
19. 19.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
20. 20.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
21. 21.True or false: “recorded spoken words” is training data. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
23. 23.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
26. 26.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) naming a new fruit photo
27. 27.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
28. 28.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
29. 29.⏩ 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
30. 30.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) typing a new spoken word (d) what training builds
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “naming a new fruit photo” is the model. (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) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
36. 36.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) flagging a new email (d) recorded spoken words
37. 37.True or false: “recorded spoken words” is a prediction. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
40. 40.True or false: “labelled fruit photos” is a prediction. (a) True (b) False

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