AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 938 · 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: “labelled fruit photos” is training data. (a) True (b) False
2. 2.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
3. 3.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
5. 5.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
6. 6.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) tomorrow’s rain guess (d) what training builds
7. 7.⏩ 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
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
10. 10.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) flagging a new email
11. 11.True or false: “recorded spoken words” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
14. 14.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
15. 15.True or false: “flagging a new email” is a prediction. (a) True (b) False
16. 16.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
17. 17.Which of these is training data? (a) the trained program (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
19. 19.⏩ 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
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
22. 22.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) tomorrow’s rain guess
23. 23.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) labelled fruit photos
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
26. 26.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
27. 27.True or false: “the learned patterns” is a prediction. (a) False (b) True
28. 28.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) labelled fruit photos (d) tomorrow’s rain guess
29. 29.True or false: “naming a new leaf” is training data. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
31. 31.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
32. 32.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “the trained program” is the model. (a) False (b) True
35. 35.Which of these is training data? (a) flagging a new email (b) past weather records (c) naming a new leaf (d) tomorrow’s rain guess
36. 36.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
38. 38.True or false: “naming a new fruit photo” is training data. (a) False (b) True
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data

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