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Table 3 Mean computation times (seconds) for MLR forecasting models training and evaluation using different caching strategies

From: Concept and benchmark results for Big Data energy forecasting based on Apache Spark

Tests

Training

Evaluation

CS1

CS2

CS3

CS1

CS2

CS3

\(SC8_{6M}\)

356.695 (4.019)

2.822 (0.060)

2.925 (0.047)

233.737 (2.003)

5.420 (0.101)

9.467 (0.364)

\(SCl_{6M}\)

37.562 (0.290)

1.133 (0.055)

1.128 (0.041)

47.532 (0.374)

1.747 (0.050)

1.777 (0.055)

  1. The values in parenthesis are the standard deviation values
  2. Italic: lowest computation time for a given caching strategy