From 7d0ce29ba80970261b0e63f94168eafa554b9184 Mon Sep 17 00:00:00 2001 From: Mahdi Dibaiee Date: Sun, 21 Aug 2016 01:07:01 +0430 Subject: [PATCH] chore(README): don't tell them about accuracy, let them try it themselves --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8a4f5d6..90a5af9 100644 --- a/README.md +++ b/README.md @@ -39,7 +39,7 @@ See other examples: # Simplest case of a neural network stack exec example-xor -# Naive Bayes document classifier, using Reuters dataset, achieves ~62% accuracy +# Naive Bayes document classifier, using Reuters dataset # using Porter stemming, stopword elimination and a few custom techniques. # The dataset is imbalanced which causes the classifier to be biased towards some classes (earn, acq, ...) # to workaround the imbalanced dataset problem, there is a --top-ten option which classifies only top 10 popular