AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 496 · 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: “naming a new leaf”? (a) a prediction (b) training data (c) the model
2. 2.Which of these is training data? (a) past weather records (b) the learned patterns (c) naming a new leaf (d) the trained program
3. 3.🔮 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
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
7. 7.⏩ 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
8. 8.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) the learned patterns (d) the trained program
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
12. 12.Which of these is training data? (a) what training builds (b) flagging a new email (c) labelled fruit photos (d) the trained program
13. 13.True or false: “old emails marked spam” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
15. 15.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) typing a new spoken word (d) the trained program
16. 16.⏩ 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
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
18. 18.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
20. 20.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
21. 21.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
23. 23.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) the learned patterns
25. 25.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
27. 27.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
29. 29.Which of these is the model? (a) past weather records (b) old emails marked spam (c) what training builds (d) naming a new leaf
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
31. 31.True or false: “what training builds” is training data. (a) False (b) True
32. 32.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
33. 33.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) recorded spoken words (d) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
38. 38.True or false: “the learned patterns” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “recorded spoken words” is the model. (a) True (b) False

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