AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 551 · 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 the model? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) old emails marked spam
2. 2.⏩ 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
3. 3.🔮 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
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) recorded spoken words (d) the learned patterns
7. 7.⏩ 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
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
9. 9.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
10. 10.True or false: “the learned patterns” is the model. (a) False (b) True
11. 11.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
12. 12.True or false: “naming a new fruit photo” is the model. (a) True (b) False
13. 13.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) past weather records (d) naming a new fruit photo
15. 15.True or false: “flagging a new email” is a prediction. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
19. 19.Which of these is training data? (a) what training builds (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
20. 20.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
22. 22.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
23. 23.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
28. 28.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) what training builds
29. 29.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
30. 30.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
31. 31.⏩ 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
32. 32.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
35. 35.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) the trained program (d) naming a new leaf
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
37. 37.⏩ 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
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
39. 39.⏩ 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
40. 40.True or false: “recorded spoken words” is training data. (a) False (b) True

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