AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 712 · 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.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
3. 3.🧪 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
4. 4.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
5. 5.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
8. 8.Which of these is the model? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) naming a new leaf
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
10. 10.True or false: “recorded spoken words” is the model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
13. 13.True or false: “typing a new spoken word” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
15. 15.True or false: “naming a new leaf” is the model. (a) False (b) True
16. 16.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) the learned patterns (d) recorded spoken words
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
18. 18.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) typing a new spoken word (d) past weather records
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
21. 21.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
22. 22.Which of these is training data? (a) the trained program (b) naming a new leaf (c) flagging a new email (d) 500 labelled leaf photos
23. 23.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new fruit photo (d) the learned patterns
24. 24.True or false: “the trained program” is the model. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
27. 27.Which of these is training data? (a) old emails marked spam (b) what training builds (c) the learned patterns (d) naming a new leaf
28. 28.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
29. 29.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
30. 30.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new fruit photo
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
34. 34.True or false: “the learned patterns” is the model. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “the learned patterns” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
38. 38.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
39. 39.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model

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