AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 608 · 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: “tomorrow’s rain guess” is training data. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “typing a new spoken word” is training data. (a) False (b) True
6. 6.⏩ 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
7. 7.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
8. 8.True or false: “old emails marked spam” is a prediction. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
10. 10.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
11. 11.True or false: “old emails marked spam” is training data. (a) False (b) True
12. 12.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
13. 13.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
14. 14.⏩ 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
15. 15.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) past weather records (d) 500 labelled leaf photos
16. 16.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
17. 17.True or false: “the trained program” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
19. 19.True or false: “the trained program” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
21. 21.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
23. 23.True or false: “what training builds” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
25. 25.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) naming a new leaf (d) labelled fruit photos
26. 26.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
27. 27.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
30. 30.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) typing a new spoken word (d) the trained program
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
34. 34.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
35. 35.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
36. 36.Which of these is a prediction? (a) what training builds (b) past weather records (c) tomorrow’s rain guess (d) 500 labelled leaf photos
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
38. 38.Which of these is the model? (a) the trained program (b) naming a new leaf (c) naming a new fruit photo (d) past weather records
39. 39.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) what training builds (d) labelled fruit photos
40. 40.True or false: “typing a new spoken word” is the model. (a) False (b) True

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