From fdceac406e75187eb272a775a7f1e1273b6ae806 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E7=8E=8B=E8=B4=BA?= Date: Tue, 2 Mar 2021 17:19:26 +0800 Subject: [PATCH] =?UTF-8?q?Update=20Task1=20=E8=B5=9B=E9=A2=98=E7=90=86?= =?UTF-8?q?=E8=A7=A3.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- HeartbeatClassification/Task1 赛题理解.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/HeartbeatClassification/Task1 赛题理解.md b/HeartbeatClassification/Task1 赛题理解.md index 242b106..eda83c5 100644 --- a/HeartbeatClassification/Task1 赛题理解.md +++ b/HeartbeatClassification/Task1 赛题理解.md @@ -89,6 +89,7 @@ $$ $$ Precision = \frac{TP}{TP + FP} $$ + 4.召回率(Recall) 也叫查全率 简写为R **召回率(Recall)**是针对原样本而言的,其含义是**在实际为正的样本中被预测为正样本的概率**。 @@ -106,12 +107,14 @@ $$ $$ {macroP=\frac{{1}}{{n}}{\mathop{ \sum }\limits_{{1}}^{{n}}{p\mathop{{}}\nolimits_{{i}}}}} $$ + 6.宏查全率(macro-R) 计算每个样本的召回率然后求平均值 $$ {macroR=\frac{{1}}{{n}}{\mathop{ \sum }\limits_{{1}}^{{n}}{R\mathop{{}}\nolimits_{{i}}}}} $$ + 7.宏F1(macro-F1) $$ {macroF1=\frac{{2 \times macroP \times macroR}}{{macroP+macroR}}} @@ -122,10 +125,12 @@ $$ $$ {microP=\frac{{\overline{TP}}}{{\overline{TP} \times \overline{FP}}}} $$ + 9.微查全率(micro-R) $$ {microR=\frac{{\overline{TP}}}{{\overline{TP} \times \overline{FN}}}} $$ + 10.微F1(micro-F1) $$ {microF1=\frac{{2 \times microP\times microR }}{{microP+microR}}}