← 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 428 · 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 learned patterns? (a) naming a new fruit photo (b) the learned patterns
  2. 2.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
  4. 4.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  7. 7.True or false: “typing a new spoken word” is training data. (a) True (b) False
  8. 8.True or false: “recorded spoken words” is training data. (a) True (b) False
  9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  10. 10.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  11. 11.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  12. 12.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  14. 14.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  15. 15.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) recorded spoken words (d) naming a new leaf
  16. 16.Which of these is training data? (a) what training builds (b) past weather records (c) tomorrow’s rain guess (d) naming a new fruit photo
  17. 17.True or false: “the trained program” is the model. (a) False (b) True
  18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  19. 19.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) past weather records
  20. 20.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  23. 23.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  26. 26.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  27. 27.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  28. 28.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  29. 29.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
  32. 32.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) the trained program (d) flagging a new email
  33. 33.True or false: “the trained program” is training data. (a) True (b) False
  34. 34.True or false: “naming a new leaf” is the model. (a) True (b) False
  35. 35.True or false: “labelled fruit photos” is the model. (a) False (b) True
  36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  37. 37.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  38. 38.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
  39. 39.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  40. 40.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False

Answer key

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

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