Applications of decision tree:
- Prediction of match using decision tree.
- It used in data mining.
- It uses for handling non-linear data.
- It is used to serving a support tool in in several fields such as engineering, civil and mechanical.
- It is used to find the demographic data to find the prospective clients.
- Assessing prospective growth opportunity.
Application of decision tree in the prediction of European's premier league -
- Let there is a data set "D=\\{x_{i1},x_{i2}, x_{i3}......x_{in}, y_i\\} (i\\epsilon [1,N])" , where N is the number of sample and "(m*n)^{m*n}" can generate sample.
- Building of the base learner "d_j=\\{x_{i1},x_{i2}, x_{i3}......x_{in}, y_i\\} (i\\epsilon [1,N])" .where k<m
- Training T times "H(x)=max\\Sigma_{t=1}^{T}\\phi(h_j(x)=y)"
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