House Tax Prediction using several models , comparing their accuracy levels
#DESCRIPTION The aim was to develop a model using Random Forest Algorithm however multiple Algorithms were used to check the level of accuracy associated with other Algorithm. This was done in a way to identify the best model Algorithm for a specific dataset.
RANDOM FOREST ACCURACY IS --> 97.89302030900305 SGDREGRESSOR REGRESSION ACCURACY IS --> 88.80390622815037 LINEAR REGRESSION ACCURACY IS --> 88.91774178072856 LOGISTIC REGRESSION ACCURACY IS --> 85.6978013591461