tag:blogger.com,1999:blog-8236580214478682937.post4307003315161387936..comments2024-03-08T01:09:13.900-08:00Comments on Another Data Mining Blog: Techniques to improve the accuracy of your Predictive ModelsSali Malihttp://www.blogger.com/profile/14741877332990090234noreply@blogger.comBlogger29125tag:blogger.com,1999:blog-8236580214478682937.post-61328143134144778242022-05-17T06:11:19.626-07:002022-05-17T06:11:19.626-07:00en son çıkan perde modelleri
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The precise understanding of...Data Mining Services<br /><br />The precise understanding of your collected data can actually lead to quality data processing, better decision making, customer satisfaction and obviously improved company’s revenue. This is where the role of Data Mining fits in to improve a business’ efficiency with a positive approach. It is a process that aims at identifying new, meaningful and purposeful data in your existing accumulated data. This data is further utilized to deal with competitive business industry with a foresight and valuable interference.<br /><br />Along with the professional and dedicated team of Data Miners, we at Loginworks hold the expertise in converting a huge amount of raw data into a valuable information. This process may appear time-taking, but it eventually helps in making strategic business decisions with an ease. With an experience of 11 years of experience in our domain, we ensure that the data reaches in an accurate and fast manner to our clients.<br /><a href="https://www.loginworks.com/blogs/" rel="nofollow"> data mining services </a><br /><br /><br />Anonymoushttps://www.blogger.com/profile/10143711422724777545noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-74930548526130778842018-07-02T01:51:12.587-07:002018-07-02T01:51:12.587-07:00This blog is having advanced information about the...This blog is having advanced information about the techniques of the <b><a href="https://www.loginworks.com/blogs/work-subquery-data-mining/" rel="nofollow"> Data Mining </a></b>. Very nice and thank you for sharing such information.Allea Johnhttps://www.blogger.com/profile/11260877394527181891noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-77018070921244032772017-08-29T13:31:10.877-07:002017-08-29T13:31:10.877-07:00Well... If I'd just read the other comments, I...Well... If I'd just read the other comments, I would have seen that you are referring to Elements of Statistical Learning 2ed. bottom of page 953. An updated link here: https://web.stanford.edu/~hastie/Papers/ESLII.pdfØystein Schønning-Johansenhttps://www.blogger.com/profile/13432607600680027833noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-9933471096811856512017-08-29T07:06:53.525-07:002017-08-29T07:06:53.525-07:00Really good article/speech. I love the method of e...Really good article/speech. I love the method of evaluating feature importance. Does this method have a name or any other reference?<br /><br />(BTW: It was a bit unclear to me at first weather or not you retrained the model in between each feature shuffling. Apparently you do not retrain, but only consider the a pretrained model. If you had retrained the model it would be similar to one step of RFE.)Øystein Schønning-Johansenhttps://www.blogger.com/profile/13432607600680027833noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-41397413332866439392017-04-20T14:11:31.738-07:002017-04-20T14:11:31.738-07:00sorry, no. But I am putting together some tutorial...sorry, no. But I am putting together some tutorials if you are Melbourne based.<br />Sali Malihttps://www.blogger.com/profile/14741877332990090234noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-76380788465531744312017-04-20T08:48:24.356-07:002017-04-20T08:48:24.356-07:00Very nice article. Was there ever parts 2 & 3...Very nice article. Was there ever parts 2 & 3. I'd be interested in see those.Anonymoushttps://www.blogger.com/profile/08149364273519400683noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-21563457519729246442015-10-28T05:52:29.250-07:002015-10-28T05:52:29.250-07:00Thanks For this information. Data Mining is known ...Thanks For this information. <a href="http://www.web-parsing.com/Data-Mining-Services.php" rel="nofollow">Data Mining</a> is known as the process of extracting the useful information from a pool of data and transforming them into a required format like CSV, Excel, HTML etc.Anonymoushttps://www.blogger.com/profile/09227323557500911003noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-24015761257140558982015-07-21T03:27:44.807-07:002015-07-21T03:27:44.807-07:00This comment has been removed by a blog administrator.Anonymoushttps://www.blogger.com/profile/06052522461102840046noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-15476487137696402752015-07-16T01:26:46.621-07:002015-07-16T01:26:46.621-07:00This comment has been removed by a blog administrator.Anonymoushttps://www.blogger.com/profile/10685032546619363523noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-64371999015653858572015-07-16T01:25:04.647-07:002015-07-16T01:25:04.647-07:00This comment has been removed by the author.Anonymoushttps://www.blogger.com/profile/10685032546619363523noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-8664251820977159362015-06-03T02:21:34.070-07:002015-06-03T02:21:34.070-07:00This was a really informative articleThis was a really informative articleSamuelhttps://www.blogger.com/profile/12785845603816312256noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-66263360710907008232014-06-30T06:25:19.772-07:002014-06-30T06:25:19.772-07:00I enjoyed it its i like it.
Coal MinesI enjoyed it its i like it.<br /><a href="http://www.goyalenergy.in/" rel="nofollow">Coal Mines</a>Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-27378288202162880952014-05-22T17:52:38.302-07:002014-05-22T17:52:38.302-07:00I enjoyed your presentation thank you. There were ...I enjoyed your presentation thank you. There were some good tips. Another tip would be to create new features using existing features. eg. feature9 = feature1 * feature5.<br /><br />Kind Regards,<br /><br />JamesAnonymousnoreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-46634417490317427242014-03-19T08:09:04.799-07:002014-03-19T08:09:04.799-07:00This comment has been removed by a blog administrator.Anonymoushttps://www.blogger.com/profile/02902032567795691917noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-91371976342792181782013-10-31T03:50:36.007-07:002013-10-31T03:50:36.007-07:00Got it, thanks! Got it, thanks! Shanehttps://www.blogger.com/profile/12896411472496278165noreply@blogger.comtag:blogger.com,1999:blog-8236580214478682937.post-62673113349289641922013-10-30T13:58:58.985-07:002013-10-30T13:58:58.985-07:00Hi Shane,
This method gives an indication of the v...Hi Shane,<br />This method gives an indication of the variable importance in the model we've built - so if it is your final model then it indicates the variables driving that model. In order to leave a variable out you need to build a model for each variable. My method saves you having to do this and will quickly indicate all the variables that can be eliminated as they are having no effect on the outcome of that model. <br /><br />The variable importance will change depending on the variables in the model. For example, if two variables are essentially the same then they could share the importance wheras if we got rid of one of them it could suddenly become twice as important. If <br /> <br />This technique is not new. see Elements of Statistical Learning, bottom of page 593. <br />http://www-stat.stanford.edu/~tibs/ElemStatLearn/Sali Malihttps://www.blogger.com/profile/14741877332990090234noreply@blogger.com