AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 990 · 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: “flagging a new email”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
3. 3.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
4. 4.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) naming a new leaf (d) the trained program
5. 5.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
6. 6.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
7. 7.True or false: “what training builds” is a prediction. (a) False (b) True
8. 8.True or false: “naming a new leaf” is a prediction. (a) True (b) False
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
10. 10.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
11. 11.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
12. 12.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) recorded spoken words (d) old emails marked spam
15. 15.⏩ 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
16. 16.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
17. 17.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
18. 18.True or false: “typing a new spoken word” is training data. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
20. 20.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
24. 24.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
25. 25.True or false: “recorded spoken words” is a prediction. (a) True (b) False
26. 26.True or false: “naming a new fruit photo” is the model. (a) False (b) True
27. 27.⏩ 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
28. 28.True or false: “what training builds” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
30. 30.True or false: “flagging a new email” is a prediction. (a) False (b) True
31. 31.Which of these is a prediction? (a) the trained program (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.True or false: “the trained program” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
37. 37.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
38. 38.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) what training builds (d) 500 labelled leaf photos
39. 39.⏩ 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
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction

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