Instance vs Model based learning
instance model:
the point to be predicted or to be analyzed checks its neighbor point and compares its probability or output value: If the output value is success or positive in case of compared value than result of that point will be also success else fails
model based:
it creates certain pattern and if the predicted value falls under the desired pattern model gives success result else not success
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