AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 760 · 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: “tomorrow’s rain guess” is a prediction. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
3. 3.True or false: “recorded spoken words” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “naming a new leaf” is a prediction. (a) True (b) False
6. 6.⏩ 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
7. 7.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) flagging a new email (d) what training builds
8. 8.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) naming a new leaf (d) recorded spoken words
9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
11. 11.⏩ 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
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
16. 16.True or false: “past weather records” is training data. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) tomorrow’s rain guess
19. 19.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) flagging a new email (d) past weather records
20. 20.True or false: “old emails marked spam” is training data. (a) True (b) False
21. 21.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
23. 23.Which of these is the model? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) 500 labelled leaf photos
24. 24.True or false: “flagging a new email” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
26. 26.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
27. 27.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) the learned patterns (d) what training builds
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
32. 32.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
35. 35.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “the trained program” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
40. 40.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up

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