AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 1 · 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) recorded spoken words (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
2. 2.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) what training builds
3. 3.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
4. 4.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
10. 10.Which of these is a prediction? (a) what training builds (b) past weather records (c) old emails marked spam (d) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
16. 16.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
17. 17.True or false: “naming a new leaf” is a prediction. (a) False (b) True
18. 18.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
19. 19.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
20. 20.⏩ 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
21. 21.True or false: “the learned patterns” is a prediction. (a) True (b) False
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
25. 25.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
28. 28.True or false: “what training builds” is a prediction. (a) False (b) True
29. 29.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) past weather records (d) typing a new spoken word
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
32. 32.⏩ 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
33. 33.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) old emails marked spam (d) the trained program
34. 34.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
36. 36.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
37. 37.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
38. 38.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
39. 39.True or false: “the trained program” is the model. (a) True (b) False
40. 40.Which of these is the model? (a) typing a new spoken word (b) naming a new leaf (c) what training builds (d) tomorrow’s rain guess

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