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