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Table 6 Kernel ridge regression algorithm statistical parameters using set of different workloads

From: Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models

Workload

Degree

Alpha

R-squared

RRSE

WordCount

70

1

0.999 ± 0.000

0.097 ± 0.000

3 (default)

 

0.935 ± 0.002

2.039 ± 0.046

SVM

70

1

0.999 ± 0.000

0.083 ± 0.003

3 (default)

 

0.860 ± 0.001

2.434 ± 0.010

Pagerank

70

1

0.999 ± 0.000

6.507 ± 0.025

3 (default)

 

0.932 ± 0.001

53.885 ± 0.376

Kmeans

30

1

0.999 ± 0.000

7.868 ± 0.290

3 (default)

 

0.947 ± 0.008

119.551 ± 8.875

Graph (NWeight)

30

1

0.996 ± 0.000

0.239 ± 0.010

3 (default)

 

0.900 ± 0.015

1.242 ± 0.0411