From fc72f84c8fb9159aaa7c662bef976ae000f71ec1 Mon Sep 17 00:00:00 2001 From: Joe Moudrik Date: Mon, 10 Jun 2013 15:45:26 +0200 Subject: [PATCH] clanek: normality of errors --- PAPERS/clanek_go_congress/clanek.tex | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/PAPERS/clanek_go_congress/clanek.tex b/PAPERS/clanek_go_congress/clanek.tex index b6c435f..e7161ed 100644 --- a/PAPERS/clanek_go_congress/clanek.tex +++ b/PAPERS/clanek_go_congress/clanek.tex @@ -376,9 +376,9 @@ with simple reference method of Mean regression, which just constantly predicts average of the strengths in the dataset regardless of the evaluation vector. The results show that the prediction of strength has standard deviation $\sigma$ -(estimated by the $RMSE$ error) -of approximately $2.7$ rank. Under the assumption of normality -of errors, we can say that 68\% of predictions fall within distance of +(estimated by the $RMSE$ error) of approximately $2.7$ rank. +Because the errors are normally distributed, +we can say that 68\% of predictions fall within distance of $\sigma$ from the real strength and 95\% of predictions are within $2\sigma$. \begin{table} @@ -412,7 +412,7 @@ The collection of games in this dataset comes from the Games of Go on Disk datab This database contains more than 70 000 professional games, spanning from the ancient times to the present. -We chose a small subset of popular professional players (mainly from the 20th century) and +We chose 25 popular professional players (mainly from the 20th century) and asked several experts (professional and strong amateur players) to evaluate these players using a questionnaire. The experts (Alexander Dinerchtein 3-pro, Motoki Noguchi 7-dan, -- 2.11.4.GIT