AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 189 · 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 a prediction? (a) what training builds (b) past weather records (c) tomorrow’s rain guess (d) recorded spoken words
2. 2.Which of these is the model? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
3. 3.True or false: “the learned patterns” is training data. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
5. 5.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) past weather records
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
9. 9.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
10. 10.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
11. 11.True or false: “recorded spoken words” is training data. (a) True (b) False
12. 12.True or false: “recorded spoken words” is the model. (a) True (b) False
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
14. 14.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
15. 15.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) the trained program (d) naming a new leaf
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
18. 18.True or false: “old emails marked spam” is the model. (a) False (b) True
19. 19.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
20. 20.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
21. 21.True or false: “the trained program” is the model. (a) True (b) False
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
24. 24.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
25. 25.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
26. 26.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) the trained program
27. 27.True or false: “labelled fruit photos” is the model. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
29. 29.True or false: “the trained program” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
34. 34.True or false: “naming a new leaf” is a prediction. (a) False (b) True
35. 35.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
36. 36.Which of these is a prediction? (a) past weather records (b) what training builds (c) the trained program (d) naming a new fruit photo
37. 37.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “the trained program” is a prediction. (a) False (b) True

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