AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 88 · 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 training data? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) labelled fruit photos
2. 2.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
3. 3.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “the learned patterns” is a prediction. (a) True (b) False
6. 6.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the trained program (d) recorded spoken words
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
8. 8.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
10. 10.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) recorded spoken words (d) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
15. 15.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
16. 16.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) flagging a new email
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
18. 18.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
19. 19.True or false: “flagging a new email” is a prediction. (a) True (b) False
20. 20.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
24. 24.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
25. 25.Which of these is the model? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
26. 26.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
27. 27.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
28. 28.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new leaf (d) recorded spoken words
29. 29.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “recorded spoken words” is training data. (a) True (b) False
32. 32.True or false: “old emails marked spam” is training data. (a) False (b) True
33. 33.⏩ 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
34. 34.True or false: “recorded spoken words” is the model. (a) False (b) True
35. 35.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) what training builds (d) tomorrow’s rain guess
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
38. 38.True or false: “the trained program” is the model. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam

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