# 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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### Loss Function for Probability Regression

I'm trying to predict a probability with a neural network, but having trouble figuring out which loss function is best. Cross entropy was my first thought, but other resources always talk about it in ...
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### Two steps optimization of a credit card limit

I have a problem similar to what is on the title but not the same, the problem on the title allows me to explain the dynamics of my need. I have to determine how much is the optimal value for a ...
112 views

### ML: Classification Model Comparison

Given is a dataset that I need to use for a classification and I want to compare the performance of different classification models. Let's assume, I want to look at logistic regression (with ...
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### Error while plotting Logistic Regression Classification

I was trying to plot by using the following code ...
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### How many coefficients does the Logistic regression model has as a function of the number of features?

I have built a logistic regression model using Python anaconda and was surprised to see that the number of model coefficients turned out to be proportional to the training sample size i.e. My ...
39 views

### Issues with self-implemented logistic regression

I am trying to self-implement a logistic regression algorithm to do some self-learning but I am having a bit of trouble with achieving similar accuracy to the logistic regression of sklearn. Here is ...
78 views

### Regularization for intercept parameter

Why is the regularization parameter not applied to the intercept parameter? From what I have read about the cost functions for Linear and Logistic regression, the regularization parameter (λ) is ...
15 views

### Connection between prob output LogisticReg/SVM and ROC

I have the following ROC generated using LPOCV and Logistic regression or SVM (l2 norm). Now, let's say I have a test set containing 10 patients and I get that the probabilities of those patients to ...
870 views

### Some of the p-values are NaN - logistic regression

I am trying to do logisitc regression, but have this issue - some of the p values are NaN ...
71 views

### Probability of the recipient to open the email

I am trying to build a model using logistic regression, where my dependent variable is y=1 if the mail was opened, y=0 if it was not. I have data approximately 10 records (10 rows) for every ...
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### Interpretable models apart from Logistic Regression

I am wondering about other interpretable models apart from logistic regression. I am looking for models that can interpret the effect on the target variable by unit change in any feature variable. I ...
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### Logistic Regression Model for categorical features with multiple values in each category

I am working on an insurance use case to build a logistic regression classifier to predict if a policy will lapse or not. The dataset has more than 20 categorical features for a policy. Each ...
111 views

### Different results for LogisticRegression on python 2.7 and 3

I have different results for the same kernel on python 2.7 (local machine) and python3 (the system running on kaggle) for LogisticRegression. How it is possible? Here my results from my local machine:...
125 views

### Logistic Regression with Tensorflow

Is this the correct Estimator for Logistic Regression in TF 1.10? There used to be a function called: LogisticRegressor which is deprecated In README.md file it ...
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### Linear and logistic regression output with same neural network

it seems like this should be a very common task, but I have not found anything useful in my research: How can I do linear and logistic regression with the same neural network? By example, what I mean ...
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### What to do when feature engineering and parameter tuning don't add to the base model performance

I've been working on using LogisticRegression from scikit to try the Titanic Kaggle comp. I've found something interesting, and that is that no amount of feature engineering and paramater tuning is ...
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### Two questions on hyper-parameter tuning

Question 1: In the example of logistic regression, I often see the regularization constant and penalty methods being tuned by a grid search. However, it seems like there are a lot more options for ...
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### scaling credit risk scorecard

I need to build a credit risk scorecard using logistic and linear regression. The variables using to predict are all dummies, where each dummy is a bin of some variable. Let's say the variable age, I ...
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### KS-Score Methods

I came across 2 methods to calculate KS-Score and select best probability threshold. Decible Method TPR - FPR Is there any specific scenario on which it depends which method to select. or we cna ...
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### What could be the impacts on the intercept and slops of each predictor in Logistic Regression by rare event cases?

I am wondering how data set with rare event cases would impact on my Logistic Regression model in terms of the intercept and slopes of each predictor?
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### Feature importance using logistic regression in pyspark

I am using logistic regression in PySpark. I have after splitting train and test dataset ...
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### Logistic regression, where is my mistake

I am doing assigment on Logistic Regression on Andrew Ng DL course, and can't understand where is my mistake, ...