AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 931 · 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 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
3. 3.True or false: “what training builds” is the model. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
5. 5.True or false: “past weather records” is the model. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (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 label error (b) a prediction (c) training data (d) a password
8. 8.True or false: “typing a new spoken word” is the model. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
10. 10.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) labelled fruit photos (d) the trained program
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
13. 13.True or false: “labelled fruit photos” is the model. (a) True (b) False
14. 14.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
15. 15.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
16. 16.True or false: “the trained program” is the model. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) recorded spoken words (d) the trained program
19. 19.True or false: “the learned patterns” is the model. (a) False (b) True
20. 20.True or false: “the learned patterns” is training data. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
23. 23.Which of these is training data? (a) the learned patterns (b) the trained program (c) past weather records (d) naming a new fruit photo
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
25. 25.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
26. 26.True or false: “naming a new fruit photo” is training data. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
29. 29.True or false: “old emails marked spam” is the model. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
31. 31.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) tomorrow’s rain guess
37. 37.Which of these is the model? (a) past weather records (b) the trained program (c) naming a new leaf (d) flagging a new email
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) recorded spoken words (d) naming a new leaf
39. 39.True or false: “naming a new fruit photo” is the model. (a) True (b) False
40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True

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