A Relative Analysis of Multi-Relational Decision Tree Learning Algorithm
Abstract: This paper provides a comparative delve of the working and execution of MRDT algorithm with that of MRDTL-2, which works on the theory initially propounded by Knobbe et al. This paper also delineates some of the foible of MRDTL viz. calculation speed, exactitude and most importantly handling of missing values. We had used some of the real world data sets from multiparous data mining sweepstakes and accomplished a graphical comparison for the forenamed two approaches. Conclusion from the experiments implies that MRDTL-2 is convincingly more efficacious approach than its forerunners.
Keywords: MRDTL, Graphical Analysis, Shortcomings of MRDTL, MRDTL-2, Efficiency of MRDTL-2
How to Cite?: Archie Jain, Abhimanyu Kumar, "A Relative Analysis of Multi-Relational Decision Tree Learning Algorithm", Volume 6 Issue 1, January 2017, International Journal of Science and Research (IJSR), Pages: 752-756, https://www.ijsr.net/getabstract.php?paperid=ART20164150, DOI: https://dx.doi.org/10.21275/ART20164150