AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 763 · 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: “what training builds”? (a) a prediction (b) training data (c) the model
2. 2.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) past weather records
3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
4. 4.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
7. 7.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
9. 9.True or false: “the trained program” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
12. 12.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) what training builds (d) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
16. 16.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) what training builds
17. 17.True or false: “what training builds” is the model. (a) True (b) False
18. 18.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) naming a new fruit photo
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
20. 20.True or false: “naming a new leaf” is training data. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) past weather records
23. 23.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
24. 24.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
25. 25.True or false: “recorded spoken words” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
27. 27.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
32. 32.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
34. 34.True or false: “the trained program” is training data. (a) True (b) False
35. 35.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) past weather records (d) naming a new fruit photo
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
39. 39.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) naming a new fruit photo (d) old emails marked spam
40. 40.True or false: “recorded spoken words” is a prediction. (a) True (b) False

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