AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 878 · 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: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
3. 3.True or false: “recorded spoken words” is a prediction. (a) True (b) False
4. 4.Which of these is training data? (a) what training builds (b) the trained program (c) the learned patterns (d) past weather records
5. 5.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) what training builds (d) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
7. 7.True or false: “naming a new leaf” is training data. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
10. 10.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
11. 11.⏩ 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
12. 12.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
13. 13.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) tomorrow’s rain guess
14. 14.True or false: “recorded spoken words” is training data. (a) False (b) True
15. 15.True or false: “the trained program” is the model. (a) False (b) True
16. 16.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
17. 17.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
18. 18.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
21. 21.True or false: “flagging a new email” is a prediction. (a) False (b) True
22. 22.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) the learned patterns (d) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
25. 25.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) typing a new spoken word
26. 26.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
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.True or false: “typing a new spoken word” is training data. (a) False (b) True
29. 29.True or false: “recorded spoken words” is the model. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
31. 31.True or false: “typing a new spoken word” is the model. (a) True (b) False
32. 32.⏩ 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
33. 33.⏩ 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
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
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.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) typing a new spoken word (d) labelled fruit photos
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
39. 39.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

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