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