原文:Learning from Imbalanced Classes

数据不平衡是一个非常经典的问题,数据挖掘、计算广告、NLP等工作经常遇到。该文总结了可能有效的方法,值得参考:

  • Do nothing. Sometimes you get lucky and nothing needs to be done. You can train on the so-called natural (or stratified) distribution and sometimes it works without need for modification.
  • Balance the training set in some way:
    • Oversample the minority class.
    • Undersample the majority class.
    • Synthesize new minority classes.
  • Throw away minority examples and switch to an anomaly detection framework.
  • At the algorithm level, or after it:
    • Adjust the class weight (misclassification costs).
    • Adjust the decision threshold.
    • Modify an existing algorithm to be more sensitive to rare classes.
  • Construct an entirely new algorithm to perform well on imbalanced data.

[导读]Learning from Imbalanced Classes的更多相关文章

  1. (转) Learning from Imbalanced Classes

    Learning from Imbalanced Classes AUGUST 25TH, 2016 If you’re fresh from a machine learning course, c ...

  2. Learning from Imbalanced Classes

    https://www.svds.com/learning-imbalanced-classes/ 下采样即 从大类负类中随机取一部分,跟正类(小类)个数相同,优点就是降低了内存大小,速度快! htt ...

  3. (转)8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset

    8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset by Jason Brownlee on August ...

  4. 不平衡学习 Learning from Imbalanced Data

    问题: ICC警情数据分类不均,30+分类,最多的分类数据数量1w+条,只有10个类别数量超过1k,大部分分类数量少于100条. 解决办法: 下采样:通过非监督学习,找出每个分类中的异常点,减少数据. ...

  5. learning scala generic classes

    package com.aura.scala.day01 object genericClasses { def main(args: Array[String]): Unit = { val sta ...

  6. How to handle Imbalanced Classification Problems in machine learning?

    How to handle Imbalanced Classification Problems in machine learning? from:https://www.analyticsvidh ...

  7. 【深度学习Deep Learning】资料大全

    最近在学深度学习相关的东西,在网上搜集到了一些不错的资料,现在汇总一下: Free Online Books  by Yoshua Bengio, Ian Goodfellow and Aaron C ...

  8. 机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)

    ##机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)---#####注:机器学习资料[篇目一](https://github.co ...

  9. 机器学习中如何处理不平衡数据(imbalanced data)?

    推荐一篇英文的博客: 8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset 1.不平衡数据集带来的影响 一个不 ...

随机推荐

  1. [SAP ABAP开发技术总结]ABAP调优——Open SQL优化

    声明:原创作品,转载时请注明文章来自SAP师太技术博客( 博/客/园www.cnblogs.com):www.cnblogs.com/jiangzhengjun,并以超链接形式标明文章原始出处,否则将 ...

  2. centos7 dokcer fastdfs

    docker run --name=fastdfstmp -tid centos /bin/bash docker cp /home/fastdfs fastdfstmp:/home docker e ...

  3. docker tomcat7 dubbo-admin monitor

    docker run --name=dubbo_admin9201 -tid -p : -v /home/dubbo/admin:/usr/local/tomcat7/webapps/ROOT cen ...

  4. 中国天气网放回json的解释

    本文是出自David_Tang的,原文http://www.cnblogs.com/mchina/archive/2013/07/12/3170551.html {"weatherinfo& ...

  5. php : RBAC 基于角色的用户权限控制-表参考

    --管理员表 CREATE TABLE `sw_manager` ( `mg_id` int(11) NOT NULL AUTO_INCREMENT, `mg_name` varchar(32) NO ...

  6. css精灵

    ○ css 精灵(Sprites)技术利用photoshop将图片整合,然后用background-images,background-position,background-repeat技术,对图片 ...

  7. Android热修复之微信Tinker使用初探

      文章地址:Android热修复之微信Tinker使用初探 前几天,万众期待的微信团队的Android热修复框架tinker终于在GitHub上开源了. 地址:https://github.com/ ...

  8. js操作新添加的DOM的问题

    $(function(){ $("body").on("click", '.abc', function(){ alert('ok'); }); $('.b') ...

  9. SendInput模拟键盘输入的问题

    SendInput模拟键盘输入的问题  http://www.cnblogs.com/yedaoq/archive/2010/12/30/1922305.html 最近接触到这个函数,因此了解了一下, ...

  10. aaa

    aaaa 来自为知笔记(Wiz)