← Training data, model and prediction lesson New set →

AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 705 · 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: “past weather records” is training data. (a) False (b) True
  2. 2.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  3. 3.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  4. 4.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) 500 labelled leaf photos
  5. 5.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
  6. 6.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  8. 8.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  9. 9.True or false: “typing a new spoken word” is training data. (a) True (b) False
  10. 10.True or false: “the learned patterns” is the model. (a) True (b) False
  11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
  13. 13.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) naming a new leaf (d) what training builds
  14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  16. 16.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  18. 18.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) labelled fruit photos (d) tomorrow’s rain guess
  19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  20. 20.True or false: “recorded spoken words” is the model. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
  22. 22.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) the trained program
  23. 23.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  25. 25.True or false: “labelled fruit photos” is training data. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  27. 27.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) what training builds (d) the trained program
  28. 28.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) the learned patterns (d) past weather records
  29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  30. 30.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  31. 31.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) flagging a new email (d) 500 labelled leaf photos
  32. 32.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  33. 33.True or false: “flagging a new email” is a prediction. (a) False (b) True
  34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  36. 36.Which of these is the model? (a) past weather records (b) old emails marked spam (c) tomorrow’s rain guess (d) what training builds
  37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  38. 38.True or false: “what training builds” is a prediction. (a) True (b) False
  39. 39.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) naming a new leaf (d) old emails marked spam
  40. 40.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess

Answer key

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

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students