AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 592 · 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 training data? (a) labelled fruit photos (b) flagging a new email (c) naming a new leaf (d) tomorrow’s rain guess
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
4. 4.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) naming a new leaf (d) what training builds
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
10. 10.True or false: “old emails marked spam” is training data. (a) True (b) False
11. 11.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) naming a new fruit photo (d) past weather records
12. 12.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) naming a new fruit photo (d) naming a new leaf
13. 13.True or false: “labelled fruit photos” is training data. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
17. 17.True or false: “past weather records” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
21. 21.True or false: “naming a new leaf” is a prediction. (a) True (b) False
22. 22.True or false: “naming a new leaf” is the model. (a) True (b) False
23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
24. 24.True or false: “naming a new fruit photo” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
26. 26.⏩ 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
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
29. 29.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) past weather records (d) typing a new spoken word
30. 30.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
31. 31.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) the learned patterns (d) recorded spoken words
32. 32.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
33. 33.⏩ 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
34. 34.True or false: “what training builds” is a prediction. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
36. 36.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
38. 38.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) tomorrow’s rain guess
39. 39.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
40. 40.True or false: “the trained program” is training data. (a) False (b) True

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