← 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 929 · 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: “what training builds” is a prediction. (a) True (b) False
  2. 2.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  3. 3.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) the learned patterns (d) labelled fruit photos
  4. 4.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  6. 6.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  7. 7.True or false: “past weather records” is training data. (a) True (b) False
  8. 8.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  9. 9.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) flagging a new email (d) tomorrow’s rain guess
  10. 10.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) old emails marked spam
  11. 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  12. 12.⏩ 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
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
  14. 14.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  15. 15.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) past weather records (d) flagging a new email
  16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  18. 18.⏩ 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
  19. 19.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  20. 20.True or false: “the trained program” is a prediction. (a) True (b) False
  21. 21.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) labelled fruit photos (d) what training builds
  22. 22.Which of these is the model? (a) past weather records (b) the trained program (c) recorded spoken words (d) flagging a new email
  23. 23.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
  27. 27.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  28. 28.True or false: “flagging a new email” is the model. (a) False (b) True
  29. 29.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  33. 33.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) tomorrow’s rain guess (d) past weather records
  34. 34.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  35. 35.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  36. 36.True or false: “past weather records” is the model. (a) True (b) False
  37. 37.True or false: “the trained program” is the model. (a) False (b) True
  38. 38.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) typing a new spoken word (d) naming a new fruit photo
  39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  40. 40.True or false: “what training builds” is the model. (a) False (b) True

Answer key

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

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