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