AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 824 · 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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
2. 2.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
3. 3.True or false: “flagging a new email” is a prediction. (a) False (b) True
4. 4.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
5. 5.True or false: “naming a new fruit photo” is the model. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
7. 7.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) flagging a new email (d) past weather records
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
11. 11.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
12. 12.True or false: “naming a new leaf” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
14. 14.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
16. 16.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) naming a new leaf
17. 17.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
18. 18.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new fruit photo
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
22. 22.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
23. 23.⏩ 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
24. 24.True or false: “past weather records” is training data. (a) True (b) False
25. 25.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
26. 26.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) 500 labelled leaf photos (d) past weather records
27. 27.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
31. 31.True or false: “what training builds” is the model. (a) True (b) False
32. 32.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) flagging a new email (d) the learned patterns
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
37. 37.True or false: “the trained program” is training data. (a) False (b) True
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data

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