AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 499 · 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: “past weather records”? (a) the model (b) training data (c) a prediction
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
3. 3.🔮 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
4. 4.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
5. 5.True or false: “naming a new fruit photo” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
8. 8.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
12. 12.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) labelled fruit photos
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
14. 14.🧪 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
15. 15.Which of these is the model? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) typing a new spoken word
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
17. 17.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
18. 18.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) past weather records
19. 19.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
23. 23.True or false: “the learned patterns” is a prediction. (a) True (b) False
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) what training builds (d) tomorrow’s rain guess
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
27. 27.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) the trained program
28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
30. 30.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
31. 31.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
34. 34.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
35. 35.True or false: “typing a new spoken word” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
37. 37.⏩ 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
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
39. 39.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
40. 40.True or false: “naming a new leaf” is a prediction. (a) True (b) False

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