AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 560 · 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: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) the trained program (d) flagging a new email
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
4. 4.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
5. 5.True or false: “past weather records” is the model. (a) True (b) False
6. 6.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
8. 8.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
9. 9.True or false: “flagging a new email” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
11. 11.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
13. 13.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new leaf (d) labelled fruit photos
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “recorded spoken words” is training data. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
18. 18.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
19. 19.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.True or false: “recorded spoken words” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
24. 24.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
26. 26.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
27. 27.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
30. 30.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
31. 31.True or false: “what training builds” is the model. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
33. 33.True or false: “old emails marked spam” is training data. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
36. 36.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
37. 37.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) the trained program (d) flagging a new email
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) what training builds (d) naming a new fruit photo
40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False

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