AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 469 · 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: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
2. 2.⏩ 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
3. 3.⏩ 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
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the learned patterns (d) typing a new spoken word
6. 6.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
7. 7.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) the trained program
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) what training builds (d) naming a new leaf
10. 10.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
14. 14.True or false: “recorded spoken words” is training data. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
16. 16.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
19. 19.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
20. 20.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) typing a new spoken word (d) past weather records
21. 21.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) what training builds (d) labelled fruit photos
22. 22.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
26. 26.True or false: “flagging a new email” is a prediction. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
28. 28.True or false: “old emails marked spam” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
30. 30.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) flagging a new email (d) what training builds
31. 31.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) flagging a new email (d) recorded spoken words
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.True or false: “naming a new leaf” is the model. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “the learned patterns” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
37. 37.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) tomorrow’s rain guess (d) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) what training builds (d) past weather records
40. 40.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess

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