AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 210 · 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: “what training builds”? (a) a prediction (b) the model (c) training data
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
3. 3.🔮 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
4. 4.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
5. 5.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
7. 7.True or false: “what training builds” is a prediction. (a) False (b) True
8. 8.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
9. 9.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
10. 10.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) typing a new spoken word (d) the learned patterns
11. 11.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
12. 12.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) 500 labelled leaf photos (d) the trained program
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
15. 15.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
16. 16.True or false: “labelled fruit photos” is training data. (a) False (b) True
17. 17.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
18. 18.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
21. 21.Which of these is a prediction? (a) past weather records (b) the trained program (c) the learned patterns (d) flagging a new email
22. 22.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
23. 23.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
24. 24.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) the trained program (d) naming a new fruit photo
25. 25.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
26. 26.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) what training builds (d) the trained program
27. 27.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
33. 33.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
35. 35.True or false: “what training builds” is training data. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
39. 39.True or false: “past weather records” is training data. (a) False (b) True
40. 40.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) recorded spoken words (d) labelled fruit photos

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