A Distributed Framework for Predictive Analytics Using Big Data and MapReduce Parallel Programming

Table 3

Comparison of performance measures of standalone MLR and MR-MLR (s = 4).

Dataset	No. of samples	Intercept		Mean absolute error (MAE)		Root mean square error (RMSE)		Determination coefficient (R^2)
		MLR	MR-MLR	MLR	MR-MLR	MLR	MR-MLR	MLR	MR-MLR
Combined cycle power plant	957	7.93E − 04	8.02E − 04	2.9145	3.3294	4.3289	4.14021	0.90898	0.89805
Wave energy converters	28800	2.89E − 04	2.91E − 04	13.1246	12.8326	436.2986	425.9171	0.98129	0.99938
Year prediction MSD	51534	3.98E − 04	4.01E − 04	17.6717	18.1748	643.7491	643.7491	0.99212	0.99473
Superconductivity data	2126	1.88E − 04	1.95E − 04	10.0976	10.1901	123.5647	124.7320	0.99834	0.99973