AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 286 · 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: “the trained program” is the model. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
3. 3.True or false: “old emails marked spam” is a prediction. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
6. 6.Which of these is the model? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) tomorrow’s rain guess
7. 7.True or false: “naming a new leaf” is the model. (a) False (b) True
8. 8.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
9. 9.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
11. 11.True or false: “the trained program” is a prediction. (a) True (b) False
12. 12.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) past weather records (d) 500 labelled leaf photos
13. 13.⏩ 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
14. 14.True or false: “typing a new spoken word” is training data. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
16. 16.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
17. 17.True or false: “naming a new leaf” is a prediction. (a) False (b) True
18. 18.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) flagging a new email (d) past weather records
19. 19.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) what training builds (d) tomorrow’s rain guess
20. 20.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) typing a new spoken word (d) what training builds
21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) 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: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
25. 25.True or false: “naming a new fruit photo” is the model. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
27. 27.True or false: “flagging a new email” is the model. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
30. 30.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
31. 31.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) naming a new fruit photo (d) 500 labelled leaf photos
33. 33.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
34. 34.True or false: “flagging a new email” is a prediction. (a) False (b) True
35. 35.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
36. 36.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
39. 39.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
40. 40.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess

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