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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 641 · 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 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  2. 2.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  3. 3.Which of these is the model? (a) what training builds (b) naming a new leaf (c) past weather records (d) 500 labelled leaf photos
  4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  5. 5.True or false: “past weather records” is training data. (a) False (b) True
  6. 6.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) labelled fruit photos
  7. 7.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) recorded spoken words (d) flagging a new email
  8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
  9. 9.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new fruit photo (d) flagging a new email
  10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  11. 11.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) recorded spoken words (d) the trained program
  12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
  13. 13.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  14. 14.⏩ 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
  15. 15.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  17. 17.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) typing a new spoken word (d) labelled fruit photos
  18. 18.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) recorded spoken words (d) the trained program
  19. 19.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
  20. 20.Which of these is training data? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
  21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  22. 22.True or false: “naming a new leaf” is training data. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  24. 24.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  26. 26.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  27. 27.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  28. 28.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) old emails marked spam (d) the trained program
  29. 29.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  30. 30.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  31. 31.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  34. 34.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  37. 37.⏩ 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
  38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  40. 40.True or false: “the learned patterns” is a prediction. (a) True (b) False

Answer key

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

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