AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 44 · 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: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
4. 4.True or false: “recorded spoken words” is training data. (a) True (b) False
5. 5.True or false: “the learned patterns” is a prediction. (a) True (b) False
6. 6.True or false: “old emails marked spam” is training data. (a) True (b) False
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
8. 8.⏩ 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
9. 9.⏩ 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
10. 10.True or false: “recorded spoken words” is the model. (a) False (b) True
11. 11.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
12. 12.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
13. 13.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
14. 14.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
15. 15.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “what training builds” is training data. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
20. 20.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) 500 labelled leaf photos
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
24. 24.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new leaf (d) the trained program
25. 25.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
26. 26.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
30. 30.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) flagging a new email (d) the learned patterns
31. 31.True or false: “past weather records” is training data. (a) True (b) False
32. 32.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “labelled fruit photos” is the model. (a) True (b) False
35. 35.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
37. 37.True or false: “the learned patterns” is the model. (a) True (b) False
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) tomorrow’s rain guess (d) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data

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