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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 176 · 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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  2. 2.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  3. 3.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  6. 6.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
  7. 7.Which of these is training data? (a) the trained program (b) the learned patterns (c) old emails marked spam (d) flagging a new email
  8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  9. 9.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  10. 10.Which of these is training data? (a) the learned patterns (b) the trained program (c) labelled fruit photos (d) what training builds
  11. 11.True or false: “flagging a new email” is the model. (a) True (b) False
  12. 12.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  13. 13.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  14. 14.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  15. 15.True or false: “typing a new spoken word” is training data. (a) False (b) True
  16. 16.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) old emails marked spam (d) what training builds
  17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  18. 18.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  21. 21.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  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: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  24. 24.Which of these is the model? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) old emails marked spam
  25. 25.True or false: “the learned patterns” is training data. (a) False (b) True
  26. 26.True or false: “the trained program” is training data. (a) False (b) True
  27. 27.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) naming a new fruit photo (d) 500 labelled leaf photos
  28. 28.True or false: “what training builds” is the model. (a) True (b) False
  29. 29.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) the learned patterns (d) naming a new leaf
  30. 30.True or false: “recorded spoken words” is training data. (a) False (b) True
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  32. 32.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  34. 34.True or false: “old emails marked spam” is the model. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  36. 36.True or false: “recorded spoken words” is the model. (a) False (b) True
  37. 37.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) past weather records (d) typing a new spoken word
  38. 38.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  40. 40.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf

Answer key

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

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