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