AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 319 · 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: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
3. 3.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
4. 4.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) recorded spoken words (d) typing a new spoken word
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) naming a new fruit photo (d) the trained program
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
9. 9.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
10. 10.🔮 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
11. 11.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) what training builds (d) labelled fruit photos
12. 12.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) past weather records
13. 13.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
16. 16.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
17. 17.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
20. 20.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
22. 22.⏩ 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
23. 23.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) naming a new fruit photo (d) the learned patterns
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
25. 25.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
26. 26.True or false: “labelled fruit photos” is training data. (a) False (b) True
27. 27.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) past weather records
28. 28.True or false: “the trained program” is the model. (a) True (b) False
29. 29.True or false: “flagging a new email” is the model. (a) False (b) True
30. 30.True or false: “naming a new leaf” is a prediction. (a) False (b) True
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
33. 33.True or false: “naming a new fruit photo” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
35. 35.True or false: “typing a new spoken word” is training data. (a) True (b) False
36. 36.True or false: “what training builds” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
40. 40.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program

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