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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 632 · 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: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  4. 4.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  5. 5.True or false: “the trained program” is a prediction. (a) True (b) False
  6. 6.True or false: “old emails marked spam” is the model. (a) False (b) True
  7. 7.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  8. 8.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  9. 9.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) old emails marked spam (d) 500 labelled leaf photos
  10. 10.Which of these is the model? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) naming a new leaf
  11. 11.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  12. 12.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
  13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  14. 14.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
  15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  16. 16.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  18. 18.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  21. 21.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  22. 22.True or false: “what training builds” is training data. (a) True (b) False
  23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  25. 25.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  27. 27.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) what training builds
  28. 28.⏩ 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
  29. 29.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  30. 30.True or false: “recorded spoken words” is training data. (a) False (b) True
  31. 31.Which of these is training data? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
  32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  33. 33.Which of these is training data? (a) what training builds (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
  34. 34.True or false: “past weather records” is a prediction. (a) True (b) False
  35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  36. 36.True or false: “flagging a new email” is the model. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  38. 38.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  39. 39.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  40. 40.True or false: “naming a new fruit photo” is training data. (a) True (b) False

Answer key

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

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