AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 419 · 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.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) recorded spoken words
2. 2.True or false: “the learned patterns” is training data. (a) False (b) True
3. 3.True or false: “old emails marked spam” is training data. (a) False (b) True
4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
5. 5.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
6. 6.🔮 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
7. 7.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) naming a new leaf
8. 8.True or false: “flagging a new email” is a prediction. (a) True (b) False
9. 9.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) past weather records (d) typing a new spoken word
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
11. 11.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
13. 13.True or false: “recorded spoken words” is training data. (a) True (b) False
14. 14.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) typing a new spoken word
15. 15.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) typing a new spoken word (d) flagging a new email
16. 16.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
20. 20.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
21. 21.Which of these is a prediction? (a) what training builds (b) the trained program (c) naming a new leaf (d) past weather records
22. 22.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “past weather records” is a prediction. (a) True (b) False
25. 25.🧪 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
26. 26.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
29. 29.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) recorded spoken words (d) the trained program
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
34. 34.True or false: “the trained program” is the model. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
36. 36.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) old emails marked spam (d) naming a new leaf
37. 37.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) what training builds (d) flagging a new email
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
39. 39.True or false: “naming a new leaf” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program

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