What is a Decision Tree Algorithm?

[Former Member]

hi there,

what is a decision tree algorithm??

[Former Member]

Hi Stella,

A decision tree is a tree in which every node is either a leaf node or a decision node. This tree takes an input an object and outputs some decision. All Paths from root node to the leaf node are reached by either using AND or OR or BOTH. The tree is constructed using the regularities of the data. The decision tree is not affected by Automatic Data Preparation.

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[Former Member]

Hi,

Decision trees are used to learn from historic data and to make predictions about the future. Prediction involves establishing rules using historic data and applying these rules to new data. These rules are displayed graphically as a hierarchy.

Ex : Your customer data typically contains attributes such as gender, age, income, region, and occupation as well as information about whether a customer is a satisfied customer or not (possibly drawn from a survey). You can use such historic data to train a decision tree. You find out as a result that customers exhibiting certain attributes are generally satisfied customers while customers exhibiting other attributes tend to be dissatisfied customers. You can use rules determined in this way to assess the satisfaction of other customers in cases where this information is not available.

Integration :

The data that you use to train the model can be taken from any other system, provided that the system can extract data into SAP BW. Similarly, you can apply the identified rules to any data that has been extracted into SAP BW. In SAP BW, you can use queries to access data with known statements and then use this data to find out statements about other data.

Regards

Ram.