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