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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 185 · 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: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  2. 2.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) 500 labelled leaf photos (d) the learned patterns
  3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  5. 5.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  7. 7.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
  8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
  9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  10. 10.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) typing a new spoken word (d) tomorrow’s rain guess
  11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  12. 12.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
  13. 13.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
  14. 14.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
  15. 15.True or false: “typing a new spoken word” is the model. (a) False (b) True
  16. 16.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  21. 21.⏩ 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
  22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  24. 24.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) what training builds (d) old emails marked spam
  25. 25.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) past weather records (d) the learned patterns
  26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  27. 27.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  28. 28.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
  29. 29.True or false: “flagging a new email” is training data. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  33. 33.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  34. 34.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the trained program (d) naming a new fruit photo
  35. 35.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  36. 36.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  38. 38.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) typing a new spoken word
  39. 39.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  40. 40.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo

Answer key

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

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