A Comparison of the Efficiency of Regression Bike Sharing Dataset by Data Mining Technique

Abstract

The objective of this research is to study and compare forecasting techniques suitable for data forecasting. Bike Sharing in this research has selected 3 techniques for using in this research, Linear Regression. neural network and decision tree In order to find the best forecasting performance in the Bike of Sharing data group. Techniques that give the best results are Linear regression Where the square root of the mean squared error is 0.005 +/- 0.009, followed by the artificial neural network Where the square root of the mean square mean is 2.710 +/- 0.000 and the final is Decision tree By giving the square root of the mean squared mean value of 5.768 +/- 0.000