diff --git a/lib/Service/MLP/OptimizerService.php b/lib/Service/MLP/OptimizerService.php
index ec847cd5..fdf175f0 100644
--- a/lib/Service/MLP/OptimizerService.php
+++ b/lib/Service/MLP/OptimizerService.php
@@ -72,20 +72,20 @@ private function getAverageCost(OutputInterface $output,
 		TrainingResult ...$results): float {
 		$costs = array_map(function (TrainingResult $result) use ($output) {
 			$output->writeln(sprintf("  Training result: f1=%f, p(n)=%f, r(n)=%f, f1(n)=%f, p(y)=%f, r(y)=%f, f1(y)=%f, PSR=%d/%d/%d",
-				$result->getReport()['overall']['f1_score'],
+				$result->getReport()['overall']['f1 score'],
 				$result->getReport()['classes']['n']['precision'],
 				$result->getReport()['classes']['n']['recall'],
-				$result->getReport()['classes']['n']['f1_score'],
+				$result->getReport()['classes']['n']['f1 score'],
 				$result->getReport()['classes']['y']['precision'],
 				$result->getReport()['classes']['y']['recall'],
-				$result->getReport()['classes']['y']['f1_score'],
+				$result->getReport()['classes']['y']['f1 score'],
 				$result->getModel()->getSamplesPositive(),
 				$result->getModel()->getSamplesShuffled(),
 				$result->getModel()->getSamplesRandom()
 			));
 			return (
-				$result->getReport()['classes']['n']['f1_score'] +
-				$result->getReport()['overall']['f1_score']
+				$result->getReport()['classes']['n']['f1 score'] +
+				$result->getReport()['overall']['f1 score']
 			) / 2;
 		}, $results);