# Questions tagged [binary-data]

A binary variable takes one of two values, typically coded as "0" and "1".

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### Goodness of fit for Linear Probability Model (LPM)

I'm running a linear probability model (LPM), i.e. my outcome is binary and I have predictors that are categorical and continuous (I'm aware of some of the pros and cons of using LPM for a binary ...
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### Outlier Analysis on Qualitative Data [closed]

I have qualitative dataset to analyze with also many extra variables containing 1s and 0s. While trying to perform an outlier analysis with robustness techniques is not possible, I was wondering if ...
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### Pre-study sample-pairing validity (two same-scaled IVs, binary DV)

Summary: is pairing samples ahead of time okay for testing? What test do you use given the resulting assumptions? Overview Goal: The goal is to determine which IV has a stronger influence on (...
33 views

### Can Hosmer-lemeshow chi-square statistic explain calibration?

I'm doing a logistic regression and created a calibration plot. I also conducted a Hosmer-Lemeshow test and got the corresponding chi-square. Is there any relationship between the calibration plot and ...
27 views

### Checking if amount in subgroup is significant to population

I have a population of known size N. For each element I can state whether an attribute is true or false. I can also divide the population into distinct sub populations. Each sub population is of the ...
39 views

### Binary Logistic Regression all binary categorical variables

I am running a binary logistic regression for my data using mini-tab. I feel as though I am doing something wrong because the p-values given for each of binary categories for an independent variable ...
21 views

### How to deal with unbalanced binary independent variables in logistic regressions

Suppose I want to investigate the impact of some binary independent variables (let’s say: sex and height [tall/short]) on my binary response (alcohol consumption for instance). The distribution of my ...
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### Running A Regression Analysis where the Response is a Binary Variable [R]

BACKGROUND Hello, I am relatively new to R. I am trying to execute a regression of winning percentage against a certain set of statistics. I have had experience with regression when the data is ...
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### Can I conclude that the classifier is always good when Precision-Recall Curve above the baseline?

I used logistic regression for highly imbalaned data (1=0.6% , 0=99.4%) Since PR curves are sensitive to imbalance, so i used it, but I don't know how to interpret graph appropriately. This is PR-...
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### Minimizing population risk for logistic loss

I am working on trying to show that the minimizer is equal to as given in this question. However, I can't this exact result and am starting to my book exercise has a typo. Here is my work:
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### how to caculate 95% CI for AUC? try 384 times or Hanley et al. (1982) method?

I am working on a prediction task to predict heart disease risk. The data size is around 1500 and is splitted into train, validate and test datasets. I am use train dataset to train and use validate ...
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### Display inverted ROC plot

my anomaly detection algorithm gave me an array of predictions where all the values greater than 0 should be of the positive class (= 0) and all the other should be classified as anomalies (= 1). I ...
22 views

### k-medoids on binary data

I have a binary dataset and I would like to cluster it with the k-medoids algorithm. The dataset is not huge: I have 10 dimensions and around 250 objects. I am clustering physical infrastructures ...
30 views

### Basis of Binary Classification Probability

I am fairly new to Machine Learning and recently I have built a binary classification model and the model architecture is an MLP with two hidden layers. I am predicting, from a protein sequence, the ...
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### Which formula to use for logistic regression with different predictors?

I'm doing a logistic regression with "Choice" (Yes or No) as dependent variable and 3 different predictors, including reward, demand (5 level each) and condition (0 or 1) and their ...
21 views

### How can be normalized value from logistic function used to determine probability of binary classifier outcome?

I would like to discuss chapter that comes from Foreign-Exchange-Rate Forecasting With Artificial Neural Networks. This chapter (see screenshot) describes a binary classifier made from neural network ...
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### Using individual predictions from binary classification model to predict class proportions in group

Suppose I have a group of users of a paying app and I want to predict each month the users that are not going to renew their subscription. This is called churn rate. To do that I create a binary ...
45 views

### Does the output of a binary classification model equal to the probability of a positive outcome?

Assuming you have a binary classification model $M$ i.e. that for an input $x$ it outputs a number $M(x)=\hat{y}$ where $\hat{y}\in[0,1]$ predicting the binary label of $y\in\{0,1\}$. For example, a ...
14 views

### Can I pool studies in a meta analysis with binary and continuous outcomes? [duplicate]

I'm currently completing a meta-analysis (in r using the meta/metafor package) looking at predictors of treatment response in patients suffering from a particualr mental disorder (psychosis). Some ...
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### Assumption testing: Binary Logistic regression with ONLY categorical variables - Help?

I am doing a project with a bivariate outcome variable (yes/no) and 8 predictors, which are measured categorically with 2 to 5 categories each. How do I test the assumptions of regression in SPSS for ...
28 views