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