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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 788 · 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: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
  4. 4.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
  5. 5.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  6. 6.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  8. 8.True or false: “the trained program” is a prediction. (a) False (b) True
  9. 9.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new fruit photo
  10. 10.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) past weather records (d) naming a new leaf
  11. 11.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) past weather records (d) naming a new fruit photo
  12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  14. 14.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) typing a new spoken word (d) the learned patterns
  15. 15.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  16. 16.⏩ 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
  17. 17.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  22. 22.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) old emails marked spam
  23. 23.⏩ 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
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  25. 25.True or false: “flagging a new email” is training data. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  27. 27.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  28. 28.⏩ 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
  29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
  30. 30.True or false: “labelled fruit photos” is training data. (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  32. 32.True or false: “the learned patterns” is a prediction. (a) False (b) True
  33. 33.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new fruit photo (d) past weather records
  34. 34.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
  35. 35.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  37. 37.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
  38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  39. 39.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf

Answer key

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

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