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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 167 · 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: “what training builds”? (a) a prediction (b) the model (c) training data
  2. 2.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  5. 5.True or false: “what training builds” is the model. (a) False (b) True
  6. 6.True or false: “labelled fruit photos” is training data. (a) False (b) True
  7. 7.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  8. 8.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) the trained program (d) past weather records
  9. 9.True or false: “old emails marked spam” is the model. (a) True (b) False
  10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  11. 11.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  12. 12.Which of these is the model? (a) labelled fruit photos (b) typing a new spoken word (c) flagging a new email (d) the learned patterns
  13. 13.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) labelled fruit photos (d) recorded spoken words
  14. 14.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
  15. 15.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  16. 16.🔮 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
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  18. 18.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
  19. 19.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new leaf (d) typing a new spoken word
  20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  21. 21.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  22. 22.True or false: “old emails marked spam” is training data. (a) True (b) False
  23. 23.True or false: “recorded spoken words” is the model. (a) True (b) False
  24. 24.⏩ 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
  25. 25.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  27. 27.⏩ 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
  28. 28.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  29. 29.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  30. 30.True or false: “the trained program” is the model. (a) False (b) True
  31. 31.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) 500 labelled leaf photos (d) labelled fruit photos
  32. 32.True or false: “the learned patterns” is the model. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  34. 34.True or false: “naming a new leaf” is the model. (a) True (b) False
  35. 35.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  36. 36.⏩ 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
  37. 37.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  38. 38.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  39. 39.True or false: “flagging a new email” is a prediction. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records

Answer key

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

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