Journal of Big Data

Table 7 The experimental comparison results of test accuracy

From: Big data decision tree for continuous-valued attributes based on unbalanced cut points

Methods	Datasets
Methods	Gaussian1	Gaussian2	SUSY	HEPMASS	Covertype
BA-CDT-MR	0.985	0.523	0.723	0.782	0.825
BA-CDT-SP	0.982	0.529	0.717	0.781	0.824
BS-CDT-MR	0.985	0.512	0.696	0.789	0.821
BS-CDT-SP	0.983	0.511	0.688	0.792	0.823
Parallel C4.5-MR	0.987	0.522	0.662	0.805	0.819
Parallel C4.5-SP	0.984	0.516	0.668	0.801	0.819
Weka-J48-MR	0.977	0.503	0.665	0.787	0.792
MLlib-DT-SP	0.981	0.512	0.679	0.772	0.798
FRBDT	0.983	0.527	0.705	0.769	0.836
IS-C4.5	0.986	0.522	0.662	0.804	0.819

The data in bold indicate the highest test accuracy of different algorithms on different data sets

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