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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 735 · 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.⏩ 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
  2. 2.🧪 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
  3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  4. 4.⏩ 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
  5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
  6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  7. 7.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) typing a new spoken word
  8. 8.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  9. 9.True or false: “flagging a new email” is the model. (a) False (b) True
  10. 10.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) flagging a new email (d) old emails marked spam
  11. 11.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  13. 13.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  14. 14.True or false: “flagging a new email” is training data. (a) True (b) False
  15. 15.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
  16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
  17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  18. 18.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
  19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  21. 21.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  22. 22.True or false: “old emails marked spam” is the model. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  24. 24.True or false: “old emails marked spam” is training data. (a) False (b) True
  25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  26. 26.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
  27. 27.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
  28. 28.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
  29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) labelled fruit photos (d) flagging a new email
  30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) what training builds (d) flagging a new email
  31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  33. 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  35. 35.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) old emails marked spam (d) the trained program
  36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  39. 39.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  40. 40.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program

Answer key

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

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