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Data mining is the useful tool for the practice of examining large pre-existing databases in order to generate useful information which was previously unknown, in this paper, the input for the weather data set denotes specific days as a row, attributes denotes weather conditions on the given day and the class denotes whether the conditions are conducive to playing golf and each row denotes an instance, described by values for attributes such as Outlook, Temperature, Humidity, Windy and Boolean PlayGolf class variable. All the data are considered for training purpose and it is used in the seven classification algorithm, this paper presents the analysis and accuracy of data mining algorithms for various decision tree approaches using WEKA tool to stumble on important parameters of the tree structure. Seven classification algorithms such as J48, Random Tree (RT), Decision Stump (DS), Logistic Model Tree (LMT …