← 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 690 · 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.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) past weather records (d) tomorrow’s rain guess
  4. 4.True or false: “recorded spoken words” is training data. (a) False (b) True
  5. 5.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
  6. 6.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  7. 7.True or false: “typing a new spoken word” is training data. (a) True (b) False
  8. 8.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) the trained program
  9. 9.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
  10. 10.True or false: “past weather records” is the model. (a) True (b) False
  11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  12. 12.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) past weather records (d) recorded spoken words
  13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  16. 16.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  17. 17.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) flagging a new email (d) the trained program
  18. 18.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  19. 19.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  20. 20.True or false: “the learned patterns” is the model. (a) False (b) True
  21. 21.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
  22. 22.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  24. 24.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  25. 25.True or false: “old emails marked spam” is training data. (a) True (b) False
  26. 26.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  28. 28.True or false: “past weather records” is training data. (a) False (b) True
  29. 29.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  30. 30.⏩ 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
  31. 31.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  32. 32.True or false: “flagging a new email” is a prediction. (a) False (b) True
  33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  34. 34.True or false: “flagging a new email” is the model. (a) True (b) False
  35. 35.⏩ 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
  36. 36.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) what training builds
  37. 37.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  38. 38.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email

Answer key

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

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