Model-based Supervised Categorical-Value Prediction Task
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A Model-based Supervised Categorical-Value Prediction Task is a supervised classification task that is a model-based learning task.
- AKA: Supervised Model-based Classification.
- Context:
- It can be solved by a Supervised Model-based Classification System (that implements a supervised model-based classification algorithm).
- It can range from being a Supervised Model-based Uni-Label Classification Task to being a Supervised Model-based Multi-Label Classification Task.
- It can range from being a Supervised Model-based Binary Classification Task to being a Supervised Model-based Multiclass Classification Task.
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- Example(s):
- label the colors found in an image based on training data.
- a Logistic Regression-based Classification Task.
- “Train a compact predictive model (such as a perceptron model) for the spam prediction task based on labeled learning dataset X”.
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- Counter-Example(s):
- See: Supervised Classification Task, Classification Model.
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