AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 528 · 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: “what training builds”? (a) a prediction (b) training data (c) the model
2. 2.⏩ 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
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
5. 5.True or false: “naming a new fruit photo” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
8. 8.True or false: “what training builds” is the model. (a) True (b) False
9. 9.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
10. 10.⏩ 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
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
12. 12.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
13. 13.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
15. 15.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
19. 19.True or false: “naming a new fruit photo” is training data. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
21. 21.True or false: “flagging a new email” is training data. (a) False (b) True
22. 22.Which of these is the model? (a) past weather records (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
23. 23.True or false: “recorded spoken words” is the model. (a) True (b) False
24. 24.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
25. 25.True or false: “flagging a new email” is a prediction. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
28. 28.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) 500 labelled leaf photos (d) the learned patterns
32. 32.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) 500 labelled leaf photos
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
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.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
36. 36.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
37. 37.True or false: “labelled fruit photos” is the model. (a) False (b) True
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model

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