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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 635 · 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: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  2. 2.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  3. 3.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  4. 4.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
  5. 5.True or false: “the trained program” is a prediction. (a) True (b) False
  6. 6.True or false: “the trained program” is training data. (a) True (b) False
  7. 7.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) naming a new leaf (d) past weather records
  8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  10. 10.True or false: “old emails marked spam” is the model. (a) True (b) False
  11. 11.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) tomorrow’s rain guess
  12. 12.⏩ 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
  13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) labelled fruit photos (d) typing a new spoken word
  15. 15.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
  16. 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  17. 17.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) naming a new leaf (d) the trained program
  18. 18.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  20. 20.⏩ 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
  21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  22. 22.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  23. 23.⏩ 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
  24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  25. 25.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  27. 27.True or false: “old emails marked spam” is training data. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  30. 30.⏩ 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
  31. 31.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  32. 32.Which of these is the model? (a) flagging a new email (b) past weather records (c) recorded spoken words (d) the learned patterns
  33. 33.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  34. 34.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  36. 36.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  37. 37.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
  38. 38.Which of these is the model? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) 500 labelled leaf photos
  39. 39.True or false: “recorded spoken words” is training data. (a) False (b) True
  40. 40.True or false: “the trained program” is the model. (a) True (b) False

Answer key

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

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