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