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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