AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 703 · 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.True or false: “past weather records” is training data. (a) True (b) False
2. 2.True or false: “naming a new fruit photo” is training data. (a) False (b) True
3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “old emails marked spam” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
7. 7.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) naming a new fruit photo (d) old emails marked spam
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
9. 9.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
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.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) what training builds
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
17. 17.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
19. 19.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
20. 20.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
21. 21.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
23. 23.⏩ 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
24. 24.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “recorded spoken words” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
29. 29.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
30. 30.True or false: “the trained program” is the model. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
33. 33.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
34. 34.True or false: “flagging a new email” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
37. 37.Which of these is training data? (a) naming a new leaf (b) the trained program (c) tomorrow’s rain guess (d) recorded spoken words
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
39. 39.True or false: “the trained program” is training data. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data

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