AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 385 · 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) flagging a new email (b) labelled fruit photos (c) the trained program (d) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) naming a new leaf (d) the learned patterns
6. 6.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) labelled fruit photos
7. 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
8. 8.True or false: “what training builds” is training data. (a) True (b) False
9. 9.True or false: “the trained program” is a prediction. (a) False (b) True
10. 10.True or false: “old emails marked spam” is training data. (a) False (b) True
11. 11.Which of these is training data? (a) the trained program (b) old emails marked spam (c) what training builds (d) naming a new leaf
12. 12.True or false: “naming a new leaf” is a prediction. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
14. 14.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
16. 16.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
17. 17.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) naming a new fruit photo
18. 18.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
20. 20.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
21. 21.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
22. 22.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) 500 labelled leaf photos (d) tomorrow’s rain guess
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
24. 24.Which of these is the model? (a) past weather records (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
25. 25.True or false: “labelled fruit photos” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
28. 28.True or false: “naming a new leaf” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
33. 33.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) what training builds
34. 34.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
35. 35.⏩ 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
36. 36.Which of these is the model? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) old emails marked spam
37. 37.True or false: “what training builds” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos

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