• Sachin Kumar
• Ashwani Kumar

Decision trees are graphs that are tree-like and model a decision. The questioners have to guess the object by asking as many as 20 questions as they can answer with yes, no, or perhaps. Asking questions of increasing specificity is an intuitive strategy for questioners; asking "is it a musical instrument?"As the first question, the number of possibilities will not be effectively reduced. A decision tree branches specify the shortest sequences of explanatory variables that can be examined to estimate a response variable's value. It is a commonly used data mining method for establishing multiple covariate-based classification systems or for developing target variable prediction algorithms. It classifies a population into a branch–like segments that build a root node inverted tree, internal nodes, and leaf nodes. It is non-parametric and can handle big, complex datasets effectively without imposing a complex parametric framework. When sample size is large enough, study data can be divided into training and validation datasets. Use the training dataset to create a decision tree model and a validation dataset to determine the appropriate tree size required to achieve the optimal final model. In order to obtain optimum medical result, this article presents diagnostic test of therapy approach. The prediction and classification of better information using datamining is discussed here.

decision tree; data mining; classification; prediction

"Prediction and Classification of Data Mining using Decision Tree", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.259-267, June 2019, Available :http://www.jetir.org/papers/JETIR1907J36.pdf

"Prediction and Classification of Data Mining using Decision Tree", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp259-267, June 2019, Available at : http://www.jetir.org/papers/JETIR1907J36.pdf