AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 897 · 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 training data. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
4. 4.True or false: “flagging a new email” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) labelled fruit photos (d) naming a new leaf
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
12. 12.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
13. 13.True or false: “old emails marked spam” is training data. (a) False (b) True
14. 14.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
16. 16.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) naming a new leaf (d) the trained program
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
21. 21.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
22. 22.🔮 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
23. 23.Which of these is training data? (a) the learned patterns (b) the trained program (c) 500 labelled leaf photos (d) tomorrow’s rain guess
24. 24.Which of these is the model? (a) labelled fruit photos (b) the learned patterns (c) past weather records (d) recorded spoken words
25. 25.True or false: “the learned patterns” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
28. 28.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
29. 29.True or false: “the learned patterns” is the model. (a) True (b) False
30. 30.True or false: “labelled fruit photos” is training data. (a) False (b) True
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) typing a new spoken word (d) what training builds
32. 32.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
33. 33.True or false: “naming a new fruit photo” is training data. (a) True (b) False
34. 34.Which of these is the model? (a) old emails marked spam (b) what training builds (c) tomorrow’s rain guess (d) recorded spoken words
35. 35.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) the trained program
36. 36.⏩ 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
37. 37.True or false: “old emails marked spam” is a prediction. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
40. 40.True or false: “typing a new spoken word” is a prediction. (a) False (b) True

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