Fig. 4

Benchmarking of PRECOG’s default data cleaning algorithm. We compared PRECOG’s pre-processing filters against a computationally demanding neural network pre-processing procedure. After the pre-processing, the fitness components growth lag, growth rate and growth efficiency were extracted by PRECOG’s standard procedure from the high- (left panel) and low-quality (right panel) benchmarking sets, and compared. Low-quality curves are in the right panel marked (green with a red mark) if flagged by all four quality-indices (thus, indicating curves of really low quality)