# 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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### Logistics regression with polynomial features vs neural networks for classification

I am taking Andrew Ng's Coursera class on machine learning. He mentions that training a logistic regression model with polynomial features would be very expensive for certain tasks compared to ...
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### How do we decide on the classification algorithm to use with huge training size?

I am solving a questions binary classification problem and the training size for this is huge(291 billion). The data has bloated because of using tfidfvectorizerfor ...
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### How to do predict a new sms to be spam or not?

I have trained a model for spam classification - This is my code - ...
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### Why do we divide the regularization term by the number of examples in regularized logistic regression?

So this is the formula for the regularized logistic regression cost function: $x^{(i)}$ - the $i$'th training example $\theta_j$ - the parameter of the $j$'th feature $m$ - the number of training ...
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### Interpretation of ROC AUC score

i tried to evaluate 6 models and after plotting , this what i get : So i'm wondering , if those results are "Right" ? Thank's in advance.
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### Logistic Regression - ROC curve plots Sensitivity vs Specificity instead of (1-Specificity)

I am new to Machine Learning and have been doing some practice on Logistic Regression. To evaluate the models, I've been trying to create some ROC plots. The package that i used is pROC. The model ...
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### Can one use non converged results from Logistic Regression?

I'm running Logistic Regression on a dataset for a classification problem. I used the model on the dataset when it was normalized and I had no problem with it converging. Now, I wanted to see the ...
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### Logistic Regression - Coefficients have p-value more than alpha(0.05)

I am very new to the machine learning field and have been practicing logistic regression on few sample data sets. I have built a Model using the logistic regression algorithm. Few of the coefficients ...
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### Why does a machine learning model of English can not be directly applied on right to left languages, like Arabic Hindi, and Urdu

I have a Logistic Regression model that works fine when used with an English Dataset. But, when I pass a same format data set in a different language, (Language is URDU which is right to left and UTF-...
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### Using a feature in prediction even if it gets zero as p-value?

I created two binary classification based logistic regression models and I got these results: Model 1: Accuracy: 67.51% AUC: 65.21% Model 2: Accuracy: 67,99% AUC: 65,70% The second ...
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### Accuracy of the model

I'm using this dataset and i'm trying to do logistic regression ...
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### How to plot logistic regression decision boundary?

I am running logistic regression on a small dataset which looks like this: After implementing gradient descent and the cost function, I am getting a 100% accuracy in the prediction stage, However I ...
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### Use text classifier on unseen data

I've trained a few models to classify between two categories of text. Logistic regression was the best. Now how can i test it on unseen data? I tried this: ...
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### which metric is better for boosting methods

I work on a dataset of 300 000 samples and I try to make a comparison between logistic regression (with gradients descent) and a LightBoost for binary classification in order to choose the better one. ...
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### How to interpreting the exponential coefficent in poisson regression with offset?

I am trying to find the village level risk factors for malaria. Therefore, I ran a poisson model in r with the prevalence of malaria(y) as dependent variable, altitude(x1) and Forestation(x2) as ...
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### What happens to a machine learning technique (specifically Decision Tress and Logistic Regression) if the validation dataset has a new category?

Let's suppose I have a dataset which has a categorical variable and the problem I am solving is a classification one. This categorical variable var has ['A','B','C'] as the possible set of data. ...
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### Machine Learning Dataset: Easy enough for fully connected, but not easy enough for logistic regression

I was wondering if someone could direct me to a dataset for a classification task with the following conditions: Multinomial logistic regression alone does not learn a good classifier A series of ...
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### Distribution of error values in linear regression vs logistic regression

Why do error values in linear regression have to be normally distributed and why not in logistic regression?
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### Why did Logistic regression perform better than svm? [closed]

I have a data set of movies and their subtitles.My task is to classify them based on their ratings-[R,NR,PG,PG-13,G]. I have tried different ML algorithms and found that Logistic regression out ...
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### logistic regression : highly sensitive model

I am a newbie to data science and ML. I am working on a classification problem where the task is to predict loan status (granted/not granted). I am running a logistic regression model on the data. ...
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### Normal distribution instead of Logistic distribution for classification

Logistic regression, based on the logistic function $\sigma(x) = \frac{1}{1 + \exp(-x)}$, can be seen as a hypothesis testing problem. Where the reference distribution is the standard Logistic ...
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### Data prepration for logistic regression : Value either “not available” or a “year”

I have some data of houses that have been renovated. In my data there is one column (among others) that captures this information. It is either "-1" if there has not been yet any renovation, or the ...