← 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 715 · 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.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) naming a new fruit photo (d) what training builds
  2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  3. 3.True or false: “what training builds” is the model. (a) False (b) True
  4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  5. 5.True or false: “naming a new leaf” is the model. (a) True (b) False
  6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  8. 8.True or false: “old emails marked spam” is training data. (a) True (b) False
  9. 9.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  10. 10.Which of these is training data? (a) the trained program (b) what training builds (c) the learned patterns (d) past weather records
  11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  12. 12.True or false: “past weather records” is the model. (a) False (b) True
  13. 13.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) naming a new fruit photo
  14. 14.True or false: “naming a new leaf” is training data. (a) False (b) True
  15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  18. 18.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  19. 19.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
  20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  21. 21.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  23. 23.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
  24. 24.⏩ 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
  25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) what training builds
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  27. 27.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  28. 28.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
  30. 30.Which of these is training data? (a) naming a new leaf (b) what training builds (c) the learned patterns (d) recorded spoken words
  31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  32. 32.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) past weather records (d) labelled fruit photos
  33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  34. 34.True or false: “what training builds” is a prediction. (a) False (b) True
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  36. 36.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  38. 38.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  39. 39.True or false: “the trained program” is training data. (a) False (b) True
  40. 40.⏩ 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

Answer key

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

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