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