AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 195 · 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 the model? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) naming a new fruit photo
2. 2.True or false: “the learned patterns” is training data. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
4. 4.True or false: “what training builds” is a prediction. (a) True (b) False
5. 5.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
8. 8.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
9. 9.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) naming a new fruit photo (d) 500 labelled leaf photos
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
13. 13.True or false: “naming a new fruit photo” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “old emails marked spam” is training data. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
17. 17.True or false: “labelled fruit photos” is the model. (a) True (b) False
18. 18.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
22. 22.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
24. 24.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) old emails marked spam (d) 500 labelled leaf photos
25. 25.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) recorded spoken words
26. 26.True or false: “naming a new leaf” is training data. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
28. 28.True or false: “past weather records” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) 500 labelled leaf photos (d) tomorrow’s rain guess
32. 32.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
33. 33.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
37. 37.True or false: “flagging a new email” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
40. 40.True or false: “flagging a new email” is a prediction. (a) False (b) True

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