AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 850 · 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 training data? (a) labelled fruit photos (b) the learned patterns (c) naming a new fruit photo (d) flagging a new email
2. 2.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
5. 5.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
7. 7.True or false: “what training builds” is the model. (a) False (b) True
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
10. 10.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
11. 11.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
12. 12.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
15. 15.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) old emails marked spam (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
17. 17.⏩ 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
18. 18.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
19. 19.True or false: “the trained program” is training data. (a) True (b) False
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
23. 23.True or false: “labelled fruit photos” is training data. (a) False (b) True
24. 24.⏩ 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
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
26. 26.True or false: “naming a new leaf” is the model. (a) True (b) False
27. 27.True or false: “naming a new fruit photo” is the model. (a) False (b) True
28. 28.True or false: “the learned patterns” is training data. (a) True (b) False
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
33. 33.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
34. 34.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
35. 35.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) tomorrow’s rain guess
36. 36.True or false: “typing a new spoken word” is the model. (a) False (b) True
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
38. 38.True or false: “what training builds” is training data. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data

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