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