AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 761 · 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 a prediction? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) labelled fruit photos
2. 2.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
3. 3.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
5. 5.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
8. 8.True or false: “recorded spoken words” is the model. (a) True (b) False
9. 9.⏩ 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
10. 10.Which of these is training data? (a) flagging a new email (b) the trained program (c) old emails marked spam (d) typing a new spoken word
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
14. 14.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) typing a new spoken word (d) flagging a new email
15. 15.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) past weather records (d) tomorrow’s rain guess
17. 17.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
20. 20.🔮 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
21. 21.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
22. 22.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
24. 24.True or false: “past weather records” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
26. 26.True or false: “old emails marked spam” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
29. 29.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
30. 30.True or false: “flagging a new email” is a prediction. (a) False (b) True
31. 31.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) past weather records
32. 32.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
34. 34.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.True or false: “typing a new spoken word” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
38. 38.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
39. 39.True or false: “old emails marked spam” is the model. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records

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