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