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