AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 896 · 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.True or false: “labelled fruit photos” is training data. (a) False (b) True
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) recorded spoken words (d) naming a new fruit photo
3. 3.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
6. 6.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
7. 7.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “old emails marked spam” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
15. 15.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
18. 18.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
19. 19.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) naming a new leaf
20. 20.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the trained program (d) naming a new leaf
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “recorded spoken words” is the model. (a) False (b) True
23. 23.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
24. 24.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
25. 25.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
26. 26.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
28. 28.⏩ 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
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “labelled fruit photos” is the model. (a) True (b) False
31. 31.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
32. 32.True or false: “typing a new spoken word” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
34. 34.True or false: “naming a new leaf” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
40. 40.True or false: “the learned patterns” is a prediction. (a) False (b) True

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