AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 62 · 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 a prediction? (a) past weather records (b) recorded spoken words (c) 500 labelled leaf photos (d) typing a new spoken word
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “naming a new leaf” is a prediction. (a) False (b) True
6. 6.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
7. 7.True or false: “past weather records” is the model. (a) True (b) False
8. 8.True or false: “recorded spoken words” is a prediction. (a) True (b) False
9. 9.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
11. 11.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
16. 16.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) labelled fruit photos (d) what training builds
17. 17.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
18. 18.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
19. 19.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
20. 20.True or false: “what training builds” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “old emails marked spam” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
24. 24.True or false: “the trained program” is the model. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
26. 26.True or false: “past weather records” is training data. (a) False (b) True
27. 27.True or false: “old emails marked spam” is a prediction. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
30. 30.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) labelled fruit photos (d) the learned patterns
31. 31.True or false: “naming a new fruit photo” is the model. (a) True (b) False
32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
33. 33.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) typing a new spoken word (d) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
36. 36.True or false: “the learned patterns” is the model. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
38. 38.True or false: “typing a new spoken word” is the model. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

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