Questions tagged [logistic-regression]
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
700 questions
2 votes
2 answers
121 views
Is Logistic Regression actually used for regression?
This is a question asked in my homework assignment, the full question is "Is Logistic Regression actually used for regression (predicting a continuous value)? If not, state what task it really ...
- 23
0 votes
0 answers
21 views
Runtime complexity of scikit-learn’s One-vs-Rest LogisticRegression (LBFGS) vs. RidgeClassifier
I’m working through the runtime analysis of scikit-learn’s OneVsRestClassifier for two cases: LogisticRegression (solver=lbfgs, ...
5 votes
1 answer
145 views
How to do Exploratory Data Analysis when my response variable is binary?
I am doing a multilevel regression, and my response variable is binary (presence of females on a tech board). all the EDA methods i know are about plotting correlation, but this as this is a binary i ...
- 53
0 votes
0 answers
26 views
Equivalent of sigmoid function with two thresholds
Is there a standard/frequently used/convenient equivalent to sigmoid function with two thresholds? Background When writing a likelihood of data for a binary classification problem one would often ...
- 117
0 votes
0 answers
33 views
SVC and Non Symmetric probabilities
I have a set of data, in which I'm attempting a binary classification. My metric to optimize is neg log loss. I've attempted multiple models using different classifiers particularly boosting, logistic ...
- 63
5 votes
3 answers
133 views
Same validation curves for training and test dataset
I am learning machine learning by myself. I am applying logistic regression to Weather Forecast dataset from Kaggle Weather_data. The goal is to predict Rain according to the given features and the ...
- 51
4 votes
1 answer
154 views
Cross elasticity of demand with logistic regression
First post, be nice 😁 I'm trying to calculate the cross elasticity of demand. The basic economic concept is simple, but when trying to implement it, I see a range of different methods/equations, ...
- 141
1 vote
1 answer
83 views
Overfitting on the validation set
I’m working on a machine learning project where I have two datasets: X (features on individuals) and y (binary predictions: -1 or 1). My goal is to predict y based on the features in X. Here’s a brief ...
- 11