AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 697 · 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.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
5. 5.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) recorded spoken words (d) the learned patterns
6. 6.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
7. 7.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the learned patterns (d) what training builds
8. 8.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) recorded spoken words (d) 500 labelled leaf photos
9. 9.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
10. 10.True or false: “past weather records” is the model. (a) True (b) False
11. 11.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) 500 labelled leaf photos (d) naming a new fruit photo
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
16. 16.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
17. 17.True or false: “recorded spoken words” is training data. (a) True (b) False
18. 18.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
20. 20.⏩ 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
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
23. 23.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
27. 27.True or false: “the trained program” is the model. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.True or false: “old emails marked spam” is a prediction. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
32. 32.Which of these is training data? (a) the trained program (b) the learned patterns (c) what training builds (d) labelled fruit photos
33. 33.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) old emails marked spam (d) what training builds
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
37. 37.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) flagging a new email (d) tomorrow’s rain guess
38. 38.⏩ 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
39. 39.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) labelled fruit photos
40. 40.True or false: “old emails marked spam” is training data. (a) False (b) True

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