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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 418 · 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 trained program? (a) naming a new fruit photo (b) the trained program
  2. 2.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  6. 6.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
  7. 7.⏩ 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
  8. 8.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  9. 9.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) labelled fruit photos (d) typing a new spoken word
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  11. 11.🧪 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
  12. 12.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) flagging a new email (d) what training builds
  13. 13.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  14. 14.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  15. 15.True or false: “old emails marked spam” is the model. (a) True (b) False
  16. 16.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  18. 18.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  19. 19.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  21. 21.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  22. 22.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  23. 23.⏩ 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
  24. 24.True or false: “labelled fruit photos” is the model. (a) False (b) True
  25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  26. 26.⏩ 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
  27. 27.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) naming a new fruit photo
  28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  29. 29.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  31. 31.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) old emails marked spam (d) naming a new leaf
  32. 32.True or false: “typing a new spoken word” is the model. (a) True (b) False
  33. 33.⏩ 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
  34. 34.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  35. 35.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  38. 38.True or false: “flagging a new email” is a prediction. (a) False (b) True
  39. 39.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) recorded spoken words
  40. 40.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo

Answer key

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

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