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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 297 · 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.True or false: “labelled fruit photos” is training data. (a) False (b) True
  2. 2.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  3. 3.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  5. 5.True or false: “typing a new spoken word” is training data. (a) False (b) True
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
  7. 7.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  8. 8.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  10. 10.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  11. 11.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
  12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  14. 14.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
  15. 15.True or false: “recorded spoken words” is training data. (a) True (b) False
  16. 16.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  17. 17.True or false: “the trained program” is training data. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  19. 19.True or false: “the learned patterns” is the model. (a) True (b) False
  20. 20.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) naming a new leaf (d) flagging a new email
  21. 21.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) 500 labelled leaf photos
  22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  23. 23.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  24. 24.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
  25. 25.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
  27. 27.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
  28. 28.Which of these is the model? (a) naming a new leaf (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  29. 29.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  30. 30.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  32. 32.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
  33. 33.Which of these is training data? (a) naming a new leaf (b) what training builds (c) the trained program (d) past weather records
  34. 34.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  37. 37.True or false: “the trained program” is the model. (a) False (b) True
  38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  39. 39.True or false: “old emails marked spam” is the model. (a) False (b) True
  40. 40.True or false: “what training builds” is the model. (a) False (b) True

Answer key

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

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