AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 997 · 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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
2. 2.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
3. 3.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) labelled fruit photos (d) naming a new leaf
4. 4.Which of these is training data? (a) past weather records (b) naming a new leaf (c) the trained program (d) tomorrow’s rain guess
5. 5.True or false: “flagging a new email” is training data. (a) True (b) False
6. 6.True or false: “naming a new leaf” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
8. 8.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
9. 9.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) labelled fruit photos (d) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
12. 12.True or false: “what training builds” is the model. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
14. 14.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
16. 16.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
17. 17.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
18. 18.Which of these is training data? (a) naming a new leaf (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
19. 19.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
20. 20.True or false: “the learned patterns” is the model. (a) False (b) True
21. 21.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
22. 22.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
25. 25.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
26. 26.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
27. 27.True or false: “old emails marked spam” is a prediction. (a) True (b) False
28. 28.⏩ 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
29. 29.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
30. 30.True or false: “the trained program” is the model. (a) True (b) False
31. 31.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) recorded spoken words
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
35. 35.True or false: “the trained program” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.True or false: “naming a new leaf” is the model. (a) False (b) True
39. 39.True or false: “old emails marked spam” is training data. (a) False (b) True
40. 40.True or false: “naming a new leaf” is training data. (a) True (b) False

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