AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 503 · 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: “past weather records”? (a) a prediction (b) the model (c) training data
2. 2.True or false: “flagging a new email” is a prediction. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
4. 4.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “the learned patterns” is the model. (a) False (b) True
7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
10. 10.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) recorded spoken words
11. 11.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
12. 12.True or false: “what training builds” is the model. (a) False (b) True
13. 13.True or false: “past weather records” is a prediction. (a) False (b) True
14. 14.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
15. 15.True or false: “past weather records” is the model. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
17. 17.True or false: “recorded spoken words” is training data. (a) False (b) True
18. 18.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
19. 19.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
20. 20.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
22. 22.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) naming a new leaf (d) recorded spoken words
23. 23.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) flagging a new email
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
25. 25.True or false: “recorded spoken words” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
28. 28.Which of these is the model? (a) what training builds (b) recorded spoken words (c) naming a new fruit photo (d) old emails marked spam
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
31. 31.⏩ 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
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
33. 33.Which of these is the model? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) naming a new fruit photo
34. 34.True or false: “old emails marked spam” is the model. (a) False (b) True
35. 35.True or false: “past weather records” is training data. (a) True (b) False
36. 36.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) tomorrow’s rain guess (d) past weather records
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
40. 40.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam

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