The G2’s algorithms rate TIMi as the best data science platform on the market.
TIMi Top winner at the PAKDD 2010 cup The objective of the 14th Pacific-Asia Knowledge Discovery and Data Mining conference (PAKDD 2010) is Re-Calibration of a Credit Risk Assessment System Based on Biased Data. There were 3 datasets used for the Challenge. They were collected during period from 2006 to 2009, and came from a
TIMi Top winner at the AUSDM 2009 cup The goal of the AusDM 2009 Analytic Challenge was to encourage the discovery of new algorithms for ensembling or ‘blending’ sets of expert predictions. Ensembling is the process of combining multiple sets of expert predictions so as to result in a single prediction of higher accuracy than those