AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 807 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) naming a new leaf
3. 3.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) the trained program
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
7. 7.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) old emails marked spam
8. 8.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
11. 11.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) old emails marked spam
12. 12.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
14. 14.Which of these is training data? (a) naming a new leaf (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
15. 15.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
16. 16.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
18. 18.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) tomorrow’s rain guess (d) 500 labelled leaf photos
19. 19.True or false: “the trained program” is a prediction. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
22. 22.True or false: “typing a new spoken word” is training data. (a) True (b) False
23. 23.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
24. 24.True or false: “flagging a new email” is the model. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
26. 26.True or false: “labelled fruit photos” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
28. 28.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) the trained program
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) recorded spoken words (d) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “recorded spoken words” is training data. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
35. 35.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) 500 labelled leaf photos
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
37. 37.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
39. 39.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) labelled fruit photos (d) flagging a new email
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds

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