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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 414 · 40 questions
TalentJR

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.

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

Answer key

  1. what training builds
  2. True
  3. True
  4. the trained program
  5. typing a new spoken word
  6. to see if it works
  7. data, model, prediction
  8. it learns patterns
  9. the learned patterns
  10. True
  11. training data
  12. tomorrow’s rain guess
  13. 500 labelled leaf photos
  14. True
  15. the learned patterns
  16. a prediction
  17. what training builds
  18. the learned patterns
  19. old emails marked spam
  20. True
  21. True
  22. training data
  23. what training builds
  24. True
  25. what training builds
  26. training data
  27. training data
  28. past weather records
  29. flagging a new email
  30. the model
  31. the model
  32. False
  33. False
  34. a prediction
  35. the learned patterns
  36. training data
  37. the trained program
  38. 500 labelled leaf photos
  39. recorded spoken words
  40. False

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