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