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