From a97bda967b4fbf98c01f31331f823ceb120f02e1 Mon Sep 17 00:00:00 2001 From: Daniel Friesel Date: Thu, 22 Sep 2022 14:45:58 +0200 Subject: analyze-kconfig: distinguish between training and validation error --- bin/analyze-kconfig.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) (limited to 'bin') diff --git a/bin/analyze-kconfig.py b/bin/analyze-kconfig.py index cbf16e0..d13e842 100755 --- a/bin/analyze-kconfig.py +++ b/bin/analyze-kconfig.py @@ -468,7 +468,10 @@ def main(): ) if not args.show_quality: - print("Model Error on Training Data:") + if xv_method is not None: + print(f"Model Error after Cross Validation ({xv_method}, {xv_count}):") + else: + print("Model Error on Training Data:") for name in sorted(model.names): for attribute, error in sorted( analytic_quality[name].items(), key=lambda kv: kv[0] -- cgit v1.2.3