Questions tagged [logistic-regression]

Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

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0answers
86 views

Cross-sell models and additional holders

I would like to pose a question about how to treat additional holders in the propensity-to-buy models of banking products. Up to now I was only taking into considerations the clients as first holders....
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1answer
142 views

How can I create a custom tag in JPMML?

I'm trying to create a logistic regression model in jpmml, then write the PMML to a file. The problem I'm having, is that I can't find any way to create a custom tag, such as "shortForm" and "longForm"...
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2answers
326 views

Regression Model for explained model(Details inside)

I am kind of a newbie on machine learning and I would like to ask some questions based on a problem I have . Let's say I have x y z as variable and I have values of these variables as time progresses ...
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1answer
981 views

Logistic Regression implementation does not converge

I am currently trying to implement logistic regression with iteratively reweightes LS, according to "Pattern Recognition and Machine Learning" by C. Bishop. In a first approach I tried to implement it ...
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2answers
15k views

Text categorization: combining different kind of features

The problem I am tackling is categorizing short texts into multiple classes. My current approach is to use tf-idf weighted term frequencies and learn a simple linear classifier (logistic regression). ...
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3answers
4k views

Stochastic gradient descent in logistic regression

I am very new to machine learning and in my first project have stumbled across a lot of issues which I really want to get through. I'm using logistic regression with R's ...
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2answers
6k views

Binary classification model for unbalanced data

I have a dataset with the following specifications: Training dataset with 193,176 samples with 2,821 positives Test Dataset with 82,887 samples with 673 positives There are 10 features. I want to ...
16
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4answers
8k views

Is logistic regression actually a regression algorithm?

The usual definition of regression (as far as I am aware) is predicting a continuous output variable from a given set of input variables. Logistic regression is a binary classification algorithm, so ...
10
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4answers
1k views

Learning ordinal regression in R?

I'm working on a project and need resources to get me up to speed. The dataset is around 35000 observations on 30 or so variables. About half the variables are categorical with some having many ...
2
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1answer
359 views

Why is there such a mismatch between the Model's predicted probability and theoretical probability in logistic regression?

I am trying to do Logistic Regression using SAS Enterprise Miner. My Independent variables are ...
18
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5answers
27k views

Choose binary classification algorithm

I have a binary classification problem: Approximately 1000 samples in training set 10 attributes, including binary, numeric and categorical Which algorithm is the best choice for this type of ...

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