AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 661 · 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.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
2. 2.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) naming a new fruit photo
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
6. 6.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
8. 8.True or false: “naming a new fruit photo” is training data. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
10. 10.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
11. 11.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
12. 12.Which of these is the model? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) 500 labelled leaf photos
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
14. 14.True or false: “the trained program” is a prediction. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
16. 16.True or false: “labelled fruit photos” is the model. (a) True (b) False
17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) the trained program
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
19. 19.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
20. 20.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) old emails marked spam (d) naming a new leaf
21. 21.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “labelled fruit photos” is training data. (a) True (b) False
25. 25.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) the learned patterns
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 a prediction? (a) past weather records (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
29. 29.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
30. 30.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
31. 31.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) naming a new fruit photo (d) tomorrow’s rain guess
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.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
34. 34.True or false: “old emails marked spam” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
36. 36.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
39. 39.True or false: “what training builds” is training data. (a) True (b) False
40. 40.True or false: “naming a new leaf” is a prediction. (a) False (b) True

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