AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 795 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
4. 4.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) the trained program (d) flagging a new email
5. 5.True or false: “recorded spoken words” is training data. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
9. 9.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
10. 10.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) old emails marked spam
12. 12.True or false: “what training builds” is training data. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
15. 15.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
18. 18.True or false: “typing a new spoken word” is the model. (a) False (b) True
19. 19.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
21. 21.🧪 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
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
23. 23.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
25. 25.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) flagging a new email (d) 500 labelled leaf photos
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
28. 28.True or false: “old emails marked spam” is training data. (a) True (b) False
29. 29.True or false: “labelled fruit photos” is training data. (a) False (b) True
30. 30.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) old emails marked spam
31. 31.True or false: “old emails marked spam” is a prediction. (a) True (b) False
32. 32.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
34. 34.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
36. 36.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
37. 37.True or false: “the trained program” is the model. (a) True (b) False
38. 38.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) flagging a new email (d) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
40. 40.True or false: “what training builds” is a prediction. (a) False (b) True

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