AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 438 · 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: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
2. 2.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) the learned patterns (d) recorded spoken words
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
5. 5.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
7. 7.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
8. 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
9. 9.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) recorded spoken words (d) flagging a new email
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
12. 12.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
15. 15.True or false: “past weather records” is training data. (a) True (b) False
16. 16.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) labelled fruit photos (d) typing a new spoken word
17. 17.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
18. 18.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
19. 19.True or false: “the trained program” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “old emails marked spam” is the model. (a) False (b) True
22. 22.True or false: “the learned patterns” is a prediction. (a) True (b) False
23. 23.True or false: “typing a new spoken word” is training data. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
26. 26.Which of these is training data? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) the trained program
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
29. 29.True or false: “what training builds” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
31. 31.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
32. 32.True or false: “past weather records” is a prediction. (a) False (b) True
33. 33.Which of these is the model? (a) flagging a new email (b) what training builds (c) naming a new fruit photo (d) tomorrow’s rain guess
34. 34.⏩ 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
35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new leaf (d) the trained program

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