<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:gd="http://schemas.google.com/g/2005"><id>tag:blogger.com,1999:blog-7958828565254404797.post254610046562599198..comments</id><updated>2024-12-13T03:11:35.450-08:00</updated><title type='text'>Comments on ListenData: GBM (Boosted Models) Tuning Parameters</title><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='https://www.listendata.com/feeds/comments/default'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html'/><link rel="hub" href="http://pubsubhubbub.appspot.com/"/><author><name>Deepanshu Bhalla</name><uri>http://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>14</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-8774830288954394980</id><published>2021-06-11T13:24:29.477-07:00</published><updated>2021-06-11T13:24:29.477-07:00</updated><title type='text'>Thank you for this post, very clear.
When using th...</title><content type='html'>Thank you for this post, very clear.<br />When using the train.fraction option, is there a way to call the training and test datasets later on? I want to calculate the predictions in the test dataset, for which I would use predict.gbm, but not sure how to enter only the test dataset in the newdata argument. Thank you very much.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/8774830288954394980'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/8774830288954394980'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1623443069477#c8774830288954394980' title=''/><author><name>Lucas</name><uri>https://www.blogger.com/profile/04733996272044072351</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1610391837"/><gd:extendedProperty name="blogger.displayTime" value="June 11, 2021 at 1:24 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-4839984347958455054</id><published>2020-07-20T19:54:01.185-07:00</published><updated>2020-07-20T19:54:01.185-07:00</updated><title type='text'>What is difference between bag.fraction and train....</title><content type='html'>What is difference between bag.fraction and train.fraction here, request you to explain.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/4839984347958455054'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/4839984347958455054'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1595300041185#c4839984347958455054' title=''/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="July 20, 2020 at 7:54 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-1927491139228716878</id><published>2017-10-03T21:55:25.915-07:00</published><updated>2017-10-03T21:55:25.915-07:00</updated><title type='text'>Nice explanation..Appreciate your effort. I have a...</title><content type='html'>Nice explanation..Appreciate your effort. I have a quick question. I am running the below code<br /><br />gbm.gbm &lt;- gbm(data_train$Class ~ ., data=data_train, n.trees=400, interaction.depth=5,<br /> n.minobsinnode=10, shrinkage=0.01, bag.fraction=0.75, cv.folds=10, verbose=FALSE)<br /><br />My response variable (Class) is binary(0/1) . As mentioned I tried passing the variable as both numeric and character and it gives me the below error<br /><br />Error in checkForRemoteErrors(val) : <br /> 4 nodes produced errors; first error: Bernoulli requires the response to be in {0,1}<br /><br /><br />STructure of data_train<br />str(data_train)<br />o/p<br />$ Class : chr &quot;1&quot; &quot;1&quot; &quot;1&quot; &quot;1&quot; ...<br /><br /><br />Any idea on this error</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/1927491139228716878'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/1927491139228716878'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1507092925915#c1927491139228716878' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/00152782730221641234</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1128239382"/><gd:extendedProperty name="blogger.displayTime" value="October 3, 2017 at 9:55 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-6074586044087644121</id><published>2017-07-31T10:08:07.486-07:00</published><updated>2017-07-31T10:08:07.486-07:00</updated><title type='text'>very nice explanation of concepts...</title><content type='html'>very nice explanation of concepts...</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/6074586044087644121'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/6074586044087644121'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1501520887486#c6074586044087644121' title=''/><author><name>yadavthapa</name><uri>https://www.blogger.com/profile/03989178585519198587</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1958543706"/><gd:extendedProperty name="blogger.displayTime" value="July 31, 2017 at 10:08 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-7552020305657153935</id><published>2017-02-14T21:15:43.126-08:00</published><updated>2017-02-14T21:15:43.126-08:00</updated><title type='text'>if my dependent variable is factor type(0 or 1), S...</title><content type='html'>if my dependent variable is factor type(0 or 1), Should I change data type as int????<br />is it right? </content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/7552020305657153935'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/7552020305657153935'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1487135743126#c7552020305657153935' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/10369024663689566434</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1277632376"/><gd:extendedProperty name="blogger.displayTime" value="February 14, 2017 at 9:15 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2582997132677136647</id><published>2016-12-15T22:12:44.561-08:00</published><updated>2016-12-15T22:12:44.561-08:00</updated><title type='text'>This was incredibly useful! Thank you!!1</title><content type='html'>This was incredibly useful! Thank you!!1</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2582997132677136647'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2582997132677136647'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1481868764561#c2582997132677136647' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/09755164706279072900</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1348242286"/><gd:extendedProperty name="blogger.displayTime" value="December 15, 2016 at 10:12 PM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2031991044458397588</id><published>2016-08-12T00:58:22.057-07:00</published><updated>2016-08-12T00:58:22.057-07:00</updated><title type='text'>Thank you for doing this! I do have a few question...</title><content type='html'>Thank you for doing this! I do have a few questions, though a little further down the rabbit hole than this post planned on addressing.<br /><br />I&#39;m using gbm.step in R and am unsure about some details of methodology. Specifically those surrounding cross validation:<br /><br />1) does bag.fraction handle splitting data into training and testing subsets?<br /><br />2) if NO to question 1 (which I think is probably the case), then please clarify. <br />if YES, then does this simply mean that adjusting parameters of the model and measuring change in deviance is the only manual steps towards reaching an &quot;optimal model&quot;?<br /><br />3) regarding reaching the optimal model, any advice to avoid overfitting?<br /><br />Thanks for any help!!</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2031991044458397588'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2031991044458397588'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1470988702057#c2031991044458397588' title=''/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="August 12, 2016 at 12:58 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-3396079410188773363</id><published>2016-07-25T10:23:58.981-07:00</published><updated>2016-07-25T10:23:58.981-07:00</updated><title type='text'>Thank you for your lovely words.</title><content type='html'>Thank you for your lovely words.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/3396079410188773363'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/3396079410188773363'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1469467438981#c3396079410188773363' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/5511362185093905090'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="July 25, 2016 at 10:23 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-9115014246507625964</id><published>2016-07-25T10:23:25.244-07:00</published><updated>2016-07-25T10:23:25.244-07:00</updated><title type='text'>Glad you found it helpful. Cheers!</title><content type='html'>Glad you found it helpful. Cheers!</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/9115014246507625964'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/9115014246507625964'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1469467405244#c9115014246507625964' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/8433210891663480872'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="July 25, 2016 at 10:23 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-8433210891663480872</id><published>2016-07-25T08:36:14.654-07:00</published><updated>2016-07-25T08:36:14.654-07:00</updated><title type='text'>Awesome, thankyou so very much for the clear expla...</title><content type='html'>Awesome, thankyou so very much for the clear explanation!</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/8433210891663480872'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/8433210891663480872'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1469460974654#c8433210891663480872' title=''/><author><name>Anonymous</name><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/blank.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-6939909"/><gd:extendedProperty name="blogger.displayTime" value="July 25, 2016 at 8:36 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2329843261618950457</id><published>2016-05-07T09:48:49.500-07:00</published><updated>2016-05-07T09:48:49.500-07:00</updated><title type='text'>Make sure the dependent variable is not defined as...</title><content type='html'>Make sure the dependent variable is not defined as a factor if the dependent variable is binary. Convert it to character or numeric type.</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2329843261618950457'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2329843261618950457'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1462639729500#c2329843261618950457' title=''/><link rel='related' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2327697314113543452'/><author><name>Deepanshu Bhalla</name><uri>https://www.blogger.com/profile/09802839558125192674</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiXm_iOrXFR9Ls-mjtOci4qd1m1V1TXkkWJINuMy84-Axo5pNS6CG7oKwR7hfHHI3tB1yuz8W_qo9HK2Cw5fHfe_4cL_2DCf_LyoK9LMLicZojbNYgypIP-RXNsw1GsVhk/s100/pic.jpg'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-966036103"/><gd:extendedProperty name="blogger.displayTime" value="May 7, 2016 at 9:48 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-2327697314113543452</id><published>2016-05-04T02:10:20.455-07:00</published><updated>2016-05-04T02:10:20.455-07:00</updated><title type='text'>I tried running the GBM using the above code like ...</title><content type='html'>I tried running the GBM using the above code like below<br />gbm1 = gbm(Status ~ .-Year-unique_eid, data = data_train, distribution = &quot;bernoulli&quot;, bag.fraction = 0.5, n.trees = 1000, interaction.depth =6, shrinkage = 0.1, <br /> n.minobsinnode = 10,verbose = TRUE)<br /><br />but i am getting nan as output ,could you suggest where i am going wrong<br /><br />Thanks,<br />Sandeep</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2327697314113543452'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/2327697314113543452'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1462353020455#c2327697314113543452' title=''/><author><name>Anonymous</name><uri>https://www.blogger.com/profile/16157194907675511660</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-2075336773"/><gd:extendedProperty name="blogger.displayTime" value="May 4, 2016 at 2:10 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5511362185093905090</id><published>2016-04-14T00:06:49.192-07:00</published><updated>2016-04-14T00:06:49.192-07:00</updated><title type='text'>This was very helpful and detailed! Thanks!</title><content type='html'>This was very helpful and detailed! Thanks!</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/5511362185093905090'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/5511362185093905090'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1460617609192#c5511362185093905090' title=''/><author><name>RG</name><uri>https://www.blogger.com/profile/00153090755263975717</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-109445823"/><gd:extendedProperty name="blogger.displayTime" value="April 14, 2016 at 12:06 AM"/></entry><entry><id>tag:blogger.com,1999:blog-7958828565254404797.post-5800025766336377785</id><published>2016-01-27T13:26:16.234-08:00</published><updated>2016-01-27T13:26:16.234-08:00</updated><title type='text'>Thank you. This was very useful</title><content type='html'>Thank you. This was very useful</content><link rel='edit' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/5800025766336377785'/><link rel='self' type='application/atom+xml' href='https://www.blogger.com/feeds/7958828565254404797/254610046562599198/comments/default/5800025766336377785'/><link rel='alternate' type='text/html' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html?showComment=1453929976234#c5800025766336377785' title=''/><author><name>John</name><uri>https://www.blogger.com/profile/06789931342986408108</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='32' height='21' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEirvfhd988ZE9XgPdaqSAyMB7ciiuTWdkSRwoNa8hB4oQbqn48bGQ9pyL6Q9dubsGlf7tmoF6MlP2UjKWBshRCsJ1o5CaDFVJ9z-kYyPeKK6_Rsh4oElYI8ROPjZY2EjA/s220/DSC_0227.JPG'/></author><thr:in-reply-to xmlns:thr='http://purl.org/syndication/thread/1.0' href='https://www.listendata.com/2015/07/gbm-boosted-models-tuning-parameters.html' ref='tag:blogger.com,1999:blog-7958828565254404797.post-254610046562599198' source='http://www.blogger.com/feeds/7958828565254404797/posts/default/254610046562599198' type='text/html'/><gd:extendedProperty name="blogger.itemClass" value="pid-1698327628"/><gd:extendedProperty name="blogger.displayTime" value="January 27, 2016 at 1:26 PM"/></entry></feed>