Questions tagged [correlation]

A measure of the degree of linear association among a pair of variables.

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How can I compare continuous and non-binary categorical data in Excel?

I'm trying to find the correlation between vehicle days on lot vs different categorical variables (color, make, model, etc). I know it's possible with binary data, but I haven't found a simple way to ...
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Pearson vs Spearman vs Kendall

What are the characteristics of three correlation coefficients and what are the comparisons of each correlation coefficients, Assumptions. Can somebody kindly take me through the concepts
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Calculation and Correlation with Pandas categorical attributes

I am trying to create the correlation heatmap matrix on a dataset with 4 features. One is numerical and the 3 other ones are categorical with multiclass. my coding is ...
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Relationship between two sets of dates

My wife has seizures a few times a month and takes medication for the seizures once a month. So I have two sets of dates - the dates of the seizures and the dates she got her medication. I'm trying ...
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Correlation between categorical variables based on the target distribution

Let $X$ be a category with very high cardinality and $Y$ be my target. when I look at $X$ distribution to $Y$ I see that some of the levels are very similar to each other . I would like to find a way ...
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Question mark on Correlation Matrix with RapidMiner

I'm using RapidMiner to evaluate correlation between attribute in my dataset. The problem is that a lot of values appear with '?'. Someone can help me? This is a sample of data
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How to find and calculate correlation in a data set which has category and continuous variables? [duplicate]

I am working on an Insurance domain use case to predict if an existing customer will buy a second insurance policy or not. I have a few personal details saved under different categories like Marital ...
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67 views

Why is pandas corr() deleting columns?

I'm doing a basic correlation analysis but for some reason pandas corr() is deleting columns, not sure why. ...
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How do I assess whether two time series change together?

In this example, at timepoint 5, both signals move up together. I would like to quantify these similar movements, and ideally disregard the parts where the signals are almost constant. What ...
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What expresses if/how two variables are dependent on each other?

The accepted answer to question Why is a correlation matrix symmetric? includes this: The correlation matrix is a measure of linearity. It does not express how two variables are dependent on each ...
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List of Correlations to Correlation Matrix [closed]

I am using python to do some data analysis and I need to represent the following table as a correlation matrix. The correlation value is a value between -1 and 1. ...
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Generating correlated time series with different probability distributions

I have the following problem to solve: I need to generate two time series, each modeling a variable (lets call them VarA and VarB). For each of these variables, I have a PDF (PdfA, PdfB) which belongs ...
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How to analyzes seaborn's regplot of features from kaggle's houses prices and decide to remove a specific feature?

As a machine learning beginner, I am trying my best to, to solve kaggle's houses prices competition. I am doing pretty well. Some of the fields are confusing. The data set contains about 80 features,...
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Drawing validation set from test set

I am building a 3 neural network models on dataset that is already separated to train and test sets. From my analysis, I found that this dataset has values on test set which don't exist in the train ...
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27 views

Best way for correlation analysis

I am looking for an alternative way of analysing my data which will be used for ML. I am using Matlab to implement my code. Using my code, I obtain arrays which are used to describe signals. Each ...
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Monthly data versus yearly prediction

How would you see the relation of a monthly variable categorical with a yearly target value float for differents years in order to predict. In the farming industry the relation is not so simple for ...
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correlation between categorical(ordinal) and discrete(continuous) value [duplicate]

I am doing my bi variate analysis but right now looking to see the correlation between my atributes some are categorical 5 levels and others amount of money. how can I see the correlation between ...
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Checking if ML model is possible

How can I check if a machine learning model is feasible on a given dataset? What techniques like EDA, correlation etc. can be used to judge if a model is possible i.e. data and predictor variables ...
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How can I do the correlation between two estimators?

I'm working with several estimators of all kind. Then, I want to stack these estimators, and the best is if they have low correlation between them. I suppose that the correlation method depends on ...
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Finding correlation between MNIST digits

What way would be correct to calculate the correlation between say digit '1' and digit '7' images from MNIST? Taking average values of all digit '1' pixels and digit '7' pixels to compute correlation ...
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Pearson correlation make disapear the target column

I have a dataframe with some numerical and categorical values. I want to do some feature selection to visualise a low-dimensional split in the dataset when the target variable is the grade. Yet, when ...
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Correlation Matrix Issues: Can't Convert Variables to Numerics

QUESTIONS: Can you tell me how I can convert int and factor variables to numeric variables in R? Can you tell me why ...
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Features reduction for the not correlated data set

I am working with classification problem on a training data set, which have 100 features. All the features in pairs haven't visible correlation. One can see it in the example pair plot for the some of ...
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Influence of trend on (supposedly) correlated time series

TL;DR: What is the impact of a linear trend on the correlation between time series that are (most likely) not spuriously correlated? I'm currently trying to reconstruct/cross-validate an analysis ...
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How to wisely choose machine algorithm for the given data set?

I have a data sample of RSSI value from three different devices and based on the RSSI sample, it should tell from which location the data sample is arrived. Below are the sample data set, ...
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Use correlation matrix scores as starting weights and bias inputs for neural network?

I have a neural net that's generating an average 15% error across the three outputs it gives. My problem is two of the three really have about a 2% error while the third has around 40%. I was ...
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Similarity Measure of Simulated Time Series vs Observed time Series

In my work I have an observed Time Series and Simulated ones. I want to compare the Light Curves and check for similarityto find out which simulated curve fits best respectivley which parameters ...
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Causation vs correlation problem in case of fixing other parameters and changing only one

I have a game that players play. D7 retention is defined as percentage of players who installed my game and after exactly 7 days later they played my game. Now I am doing analytics and it shows that ...
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What should be the criteria to select features using correlation factors between features? [duplicate]

For the titanic dataset, I have done some feature engineering (one-hot encoded the features) and now I have developed a heatmap to view the correlation between different features. I'm not able to ...
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SelectKBest and Correlation returns me excatly same feature selection. How?

Im working on selecting most effective features from a dataset with over that 2000 features. Im using different algorithms for that (selectKBest with chi-square, Extra Trees, Correlation etc.) But ...
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Similarity Measure Time Series

In my work I have an observed Time Series and Simulated ones. I want to compare the Light Curves and check for similarityto find out which simulated curve fits best respectivley which parameters ...
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1answer
59 views

Changes in the standard Heatmap plot - symmetric bar colors, show only diagonal values, and column names at x,y axis ticks

I have a heatmap image (correlation between all matrix columns) and I'm straggling to preform all the changes below within the same image: bar colors should be symmetric around zero (e.g., ...
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Correlation vs Multicollinearity

I have been taught to check correlation matrix before going for any algorithm. I have a few questions around the same: Pearson Correlation is for numerical variables only. What if we have to check ...
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Interrater-reliability for several items at interval or ordinal scale with 2-3 different raters

I would like to compute the interrater-reliability in R for a sample (n=150) in which each individual was rated by 2 to 3 raters (in ca. 40% of the sample 2 raters, 60% 3 raters). Raters were ...
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Correlation between imagery and target

I'm using a cnn model to predict target values which were received by special measurements, not from images. That is why, there's some doubt about whether input imagery data is sufficient for the ...
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How to compare 2 elements of a column with each other?

I am using R. I have a column with 4 elements {car, bus, walk, train}. I would like to compare the car and bus with each other with the help of the 3 other columns. ...
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Dendrogram/cluster analysis of correlation matrix

I want to take a universe of potential, trade-able instruments and allocate them to portfolio managers. Traditionally, this is done using a sector classification, ...
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records with perfect correlation to the answer. Drop or Keep?

I have about 1000 records (5 numeric, 5 categorical vars) and about 25 of them have something in 5-level categorical variable that just gives away answer. It's just too obvious and I'm not worried ...
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Incorrect correlation results

I am working on a predictive system of a finite outcome with output -1 or 1, depending on the values detected by 10 sensors. ...
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Feature selection method explanation

In the context of feature relevance, I am trying to understand the meaning of the correlation method for feature selection. Can somebody please explain if the following results of the correlation ...
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Determining users that have been sent too many emails

The experiment is a set of users in a marketing program. We are sending campaigns to the user and want to figure out whether the user is being sent too many emails or not. Suppose you have a dataset ...
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How to handle associated features in machine learning

I am working on a classification project in which some features are linked and I'm not sure how to handle them. I will simplify my project like that : There are different jobs, and multiple ...
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How to measure the correlation between categorical variables and a continuous variable

I have the following list of the names of the categorical variables in my dataset: ...
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How can I find correlation between features?

The problem I want to figure out how routers correlate between each other. Like, if a specific error occurred in router A, and almost at the same time the error occurs in router B, they probably have ...
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Is it worth graphing a correlation plot between your features and your target?

Is it worth graphing the correlation between the most important features and the target variable after you have done either PCA or L1 Regularization to identify the most important features? I guess ...
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Are there any rules regarding correlation between the variables used in a CNN?

I was wondering if there are any rules regarding correlation between the predictor variables or between the predictor and outcomes variables of a CNN. What should be the value of correlation? Does it ...
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Do I discard all my dependent variables as proved by chi-squared test of independence?

I have 134 categorical columns in my data. 7 of which are categorical variables [ one variable is highly unbalanced and has 34 classes while all other variables just has 3-5 classes in each variable ...
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Correlation feature selection followed by regression

I have quarterly results data for a company with around 100 variables. Total 60 quarters results are available (total records 60). sample data: (only few columns & 10 rows) I would like know ...
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Group-by correlation vs All observations correlation

Let's suppose that I have a dataset with datapoints about footballers. The data are about footballers' performance and information (e.g goals, assists, injuries, age, weight etc) on a monthly basis ...
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Categorical Variable and Target Variable

Though a similar question is answered here , but I wanted to take a different approach. Assuming that I have a binary target variable 1/0 and a categorical variable Gender M/F. From this, I can have a ...