• computer algorithms which determines the category of observation based on previously seen examples is called as
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Since the options are not given, I am not sure what you are expecting as the answer. So, I am giving an assumed general answer.
The probable answers could be - 'Classification' or “The Decision Tree”.
1. Classification - In machine learning and in statistics, "Classification" is the problem that helps in identifying the set of categories to which the new observation belongs to. This is done on the basis of a data training set that contains the previous observations whose category membership is known.
2. The Decision Tree - It is machine learning algorithm that is used for classification of future observations when there is already a given body of labeled observations.
The probable answers could be - 'Classification' or “The Decision Tree”.
1. Classification - In machine learning and in statistics, "Classification" is the problem that helps in identifying the set of categories to which the new observation belongs to. This is done on the basis of a data training set that contains the previous observations whose category membership is known.
2. The Decision Tree - It is machine learning algorithm that is used for classification of future observations when there is already a given body of labeled observations.
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