← 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 239 · 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.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  3. 3.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
  4. 4.⏩ 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
  5. 5.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
  6. 6.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  7. 7.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
  9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  12. 12.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
  13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  16. 16.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) past weather records (d) old emails marked spam
  17. 17.True or false: “labelled fruit photos” is training data. (a) True (b) False
  18. 18.True or false: “the trained program” is the model. (a) True (b) False
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  20. 20.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  21. 21.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) recorded spoken words
  22. 22.True or false: “flagging a new email” is the model. (a) False (b) True
  23. 23.True or false: “the learned patterns” is the model. (a) True (b) False
  24. 24.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  27. 27.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) recorded spoken words
  28. 28.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
  31. 31.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) the learned patterns (d) naming a new fruit photo
  32. 32.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  34. 34.⏩ 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
  35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
  36. 36.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
  37. 37.True or false: “past weather records” is the model. (a) False (b) True
  38. 38.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) naming a new leaf (d) 500 labelled leaf photos
  39. 39.True or false: “what training builds” is training data. (a) True (b) False
  40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction

Answer key

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

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