AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 696 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
7. 7.True or false: “old emails marked spam” is a prediction. (a) True (b) False
8. 8.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
9. 9.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “labelled fruit photos” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “past weather records” is training data. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
16. 16.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
17. 17.True or false: “the trained program” is training data. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
19. 19.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) recorded spoken words
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
21. 21.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
22. 22.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
23. 23.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
24. 24.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) the trained program (d) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
26. 26.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
28. 28.True or false: “the learned patterns” is training data. (a) True (b) False
29. 29.True or false: “naming a new leaf” is the model. (a) False (b) True
30. 30.True or false: “recorded spoken words” is training data. (a) False (b) True
31. 31.True or false: “what training builds” is the model. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
38. 38.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data

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