AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 754 · 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: “what training builds” is a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
3. 3.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
5. 5.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
7. 7.True or false: “past weather records” is a prediction. (a) False (b) True
8. 8.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
9. 9.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
10. 10.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
11. 11.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
12. 12.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
13. 13.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) old emails marked spam
16. 16.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) recorded spoken words
17. 17.True or false: “flagging a new email” is a prediction. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
19. 19.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) the trained program
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
22. 22.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) the trained program (d) what training builds
23. 23.True or false: “typing a new spoken word” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new leaf
26. 26.True or false: “recorded spoken words” is the model. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
28. 28.True or false: “recorded spoken words” is training data. (a) True (b) False
29. 29.True or false: “old emails marked spam” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
31. 31.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “the trained program” is the model. (a) True (b) False
35. 35.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
37. 37.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) naming a new leaf (d) flagging a new email
38. 38.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
39. 39.True or false: “labelled fruit photos” is the model. (a) False (b) True
40. 40.True or false: “500 labelled leaf photos” is training data. (a) True (b) False

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