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AI Worksheet: Training Data, Model, Prediction

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

Answer key

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

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