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