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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 3 · 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.

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

Answer key

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

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