AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 787 · 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: “recorded spoken words” is training data. (a) False (b) True
2. 2.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the learned patterns (d) what training builds
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
4. 4.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
5. 5.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) the trained program (d) naming a new leaf
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “naming a new leaf” is training data. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
13. 13.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) past weather records
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
15. 15.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
18. 18.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
19. 19.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
20. 20.True or false: “recorded spoken words” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
22. 22.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
23. 23.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
28. 28.True or false: “old emails marked spam” is a prediction. (a) True (b) False
29. 29.True or false: “typing a new spoken word” is the model. (a) False (b) True
30. 30.True or false: “flagging a new email” is the model. (a) False (b) True
31. 31.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
32. 32.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
35. 35.True or false: “what training builds” is a prediction. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
38. 38.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
39. 39.True or false: “old emails marked spam” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students