AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 403 · 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.True or false: “the trained program” is the model. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
4. 4.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
5. 5.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) typing a new spoken word (d) what training builds
6. 6.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
9. 9.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) past weather records (d) typing a new spoken word
10. 10.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
11. 11.True or false: “flagging a new email” is a prediction. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) past weather records
14. 14.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
17. 17.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) 500 labelled leaf photos (d) naming a new fruit photo
19. 19.True or false: “what training builds” is the model. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
23. 23.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) the learned patterns (d) naming a new fruit photo
24. 24.True or false: “old emails marked spam” is the model. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
27. 27.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
28. 28.True or false: “naming a new leaf” is a prediction. (a) False (b) True
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
30. 30.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) the learned patterns (d) old emails marked spam
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) 500 labelled leaf photos (d) the trained program
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
34. 34.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) the trained program (d) naming a new fruit photo
35. 35.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
37. 37.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) old emails marked spam (d) flagging a new email
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.True or false: “recorded spoken words” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess

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