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Ratio between positive and negative data in a classification model - Mahout - [mail # user]
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...I am making a binary classifier. Lets assume the classifier decides if a particular news item is about Appache or not. I have got 200 positive examples/news about Appache. I am a bit...
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... confused about the negative examples, because there could be a huge number of negative examples. What strategy should I go for when preparing the negative data? with 200 positive examples...
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| ..., will it make sense if I train the classifier with 5000 negative data with examples from all other sectors of news (finance, health, sports, misc, travel etc) or the difference between the positive... |
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Author: Salman Mahmood,
2012-10-01, 09:54
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Re: Logistic Regression: number of positives and negatives - Mahout - [mail # user]
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...Downsampling negatives should make little difference to accuracy. It can substantially affect training time however. Sent from my iPhone On Jul 11, 2011, at 6:56, Svetlomir Kasa...
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Author: Ted Dunning,
2011-07-11, 14:29
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Re: Ratio between positive and negative data in a classification model - Mahout - [mail # user]
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...Having lots of negative samples won't improve performance that much (shouldn't hurt much either). The negative examples that you really want are the ones that are close to your positive...
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Author: Ted Dunning,
2012-10-02, 11:09
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[JOBS] PhD position in Berlin - Mahout - [mail # user]
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...Hi, I'm turning to this list with a personal matter. I'm searching for a PhD position in Berlin starting from May this year. Ideally the field of research would be large scale...
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... recommendation mining but other machine learning related topics would work as well. If you'd be interested in offering such a position or would be so kind to help me with finding one, feel free...
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Author: Sebastian Schelter,
2011-01-18, 12:49
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Re: Ratio between positive and negative data in a classification model - Mahout - [mail # user]
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...This may also be relevant: "Logistic Regression in Rare Events Data" http://gking.harvard.edu/gking/files/abs/0s-abs.shtml JP On Tue, Oct 2, 2012 at 7:09 AM, Ted Dunn...
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Author: Josh Patterson,
2012-10-02, 15:16
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[MAHOUT-267] Vector.norm(x) uses incorrect formula for both x == POSITIVE_INFINITY and x == 1 - Mahout - [issue]
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... values, which is a no-no for norms unless we're going to do Relativity and have Lorentzian metrics allowed in Mahout:
maxValue() returns the maximum (meaning: closest to POSITIVE...
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http://issues.apache.org/jira/browse/MAHOUT-267
Author: jakes old,
2011-05-21, 04:24
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Mapping # exponential() - Mahout - [javadoc]
- [see source code]
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...Maps results to positive values. @return A positive value. ...
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http://search-lucene.com/jd/mahout/core/org/apach.../Mapping.html#exponential()
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Instance # get(int index) - Mahout - [javadoc]
- [see source code]
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...Return the attribute at the specified position @param index
position of the attribute to retrieve @return value of the attribute ...
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http://search-lucene.com/jd/mahout/core/org/apache/ma.../Instance.html#get(int)
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Mapping # exponential(double scale) - Mahout - [javadoc]
- [see source code]
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...Maps results to positive values. @param scale If large, then large values are more likely. @return A positive value. ...
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http://search-lucene.com/jd/mahout/core/org.../Mapping.html#exponential(double)
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Re: parallelALS and RMSE TEST - Mahout - [mail # user]
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...This problem is called one-class classification problem. In the domain of collaborative filtering it is called one-class collaborative filtering (since what you have are only positive...
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Author: Tevfik Aytekin,
2013-05-06, 19:29
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