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Table 8 The experimental comparison results of running time with MapReduce

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

Methods

Datasets

Gaussian1

Gaussian2

SUSY

HEPMASS

Covertype

BA-CDT-MR

189.7

229.7

1244.1

3121.2

3669.3

BS-CDT-MR

221.0

259.5

1531.5

3710.0

3891.8

Parallel C4.5-MR

234.4

277.9

1557.4

3801.2

4656.4

Weka-J48-MR

274.5

286.4

1648.2

3956.2

4853.9

FRBDT

244.5

272.1

1789.0

3815.2

4386.3

IS-C4.5

255.5

289.4

1448.8

3798.6

3952.0

  1. The data in bold indicate the shortest run times for different algorithms implemented by MapReduce and Spark on different datasets, respectively