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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 262 · 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.True or false: “the trained program” is the model. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  3. 3.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) past weather records (d) the learned patterns
  4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  6. 6.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  8. 8.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  11. 11.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  12. 12.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  13. 13.⏩ 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
  14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
  15. 15.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  16. 16.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  17. 17.True or false: “naming a new leaf” is the model. (a) False (b) True
  18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
  19. 19.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  20. 20.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  21. 21.⏩ 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
  22. 22.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) flagging a new email (d) what training builds
  23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  26. 26.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
  27. 27.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the learned patterns
  28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  29. 29.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
  30. 30.⏩ 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
  31. 31.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
  32. 32.True or false: “recorded spoken words” is the model. (a) False (b) True
  33. 33.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
  34. 34.Which of these is a prediction? (a) past weather records (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  36. 36.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) flagging a new email (d) what training builds
  37. 37.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) the learned patterns
  38. 38.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  40. 40.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess

Answer key

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

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