Questions tagged [correlation]
A measure of the degree of linear association among a pair of variables.
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Identifying causation between content <> ad kpis
I have a bunch of content tagged with various types of content (e.g. political news, sports, opinion etc.) and a bunch of kpis related to ads placed next to this content (e.g click-throughs, purchases ...
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1answer
17 views
Machine learning algorithm that uses the Pearson or Spearman correlation?
I've come across linear and multiple regression, SVM, random forests. Does any know of a machine learning algorithm that uses the Pearson correlation or Spearman correlation?
Best,
Dave
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2answers
39 views
Trying to find the correlation between inputs and output
I have tried the pandas code for trying to find out the correlation between the output and the inputs I am feeding. Here is the code:
...
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1answer
62 views
Correlation between nominal categorical variables
I have two arrays, whose values are nominal categorical variables. Each element represents a zone of a city: in the first vector we have the class each zone belongs to (so these might also be seen as ...
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2answers
29 views
Hesitate to drop a feature
I used to tried making a fake correlation in my mocking dataset and found that if the score is more than 0.5 I can reduce feature to avoid singularity
In the given ...
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1answer
14 views
Determining the correlations between aggregated data and non aggregated data
I have a dataset which is essentially a list of lists produced by a sql query output. Here is what it looks like
...
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2answers
39 views
Building predictive model with low correlated data [closed]
I have been working on a project with low features and only few entry fields ( 4 to be exact ). All the data in the dataset is barely correlated to each other. Is there some organized way or ...
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1answer
30 views
Does this correlation make sense?
I'm trying to work on a ML project and I have a dataset and I'm trying to see if there is a correlation between some of the features in my dataset.
The dataset contains inspection notes for car parts ...
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1answer
24 views
How to find similarity of two series over time containing periodic trends?
Considering the data is received from a streaming source each second.How to distinguish if both the line graphs 'look' same/different in real time, statically, like the picture given below
Edit:
1....
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2answers
76 views
How to fill missing numeric if any value in a subset is missing, all other columns with the same subset are missing
There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row.
Here is a ...
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1answer
36 views
How to calculate temporary/periodic similarities of an increasing series in real time?
Considering there are two series over time and new data is added in the series over a gap of n second . The series might have periodic similarity/dis-similarity within themselves. How to calculate ...
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2answers
41 views
When creating a classification model, should predictors with little correlation to the response variable be included in the model?
I am building a predictive model designed to predict attrition within my organization. I am trying to decide whether to add certain predictors to my model. I used a Kruskal-Wallis rank sum test to ...
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1answer
66 views
In supervised learning, how to get info from correlation? [duplicate]
I am trying to build a classification model so I have tried to check the correlation between the features.
Here Loan_Status is my target variable.
I just don't know how to extract information from ...
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1answer
28 views
How is PACF analysis output related to LSTM ?
I was going through a recent paper “A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature ForecastingUsing Long Short-Term Memory Neural Network Based on Ensemble Empirical ...
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0answers
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Measuring Effects of Multiple Changes over Time
I'm writing a social media marketing plan for a website. I have several changes I am planning to implement (increasing posting rate, changing type of content posted, etc.) over an extended timeline to ...
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6answers
103 views
How to statistically prove that a column in a dataframe is not needed
I have a pandas dataframe consisting of dimensions and features of a different fabric materials. I have several rows per product material type causing the dataset to seem very huge. From basic logic ...
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2answers
25 views
Regression or Correlation for this RQ?
Our little group at uni is investigating if there is a relationship between 3 measures of social well-being (social anxiety, social connectedness and self esteem) and usage time (on-screen time in ...
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19 views
Visualizing correlation with large number of features
Often, visualization is touted as a prerequisite to model building, with the purpose of identifying features which are correlated with each other (think NxN correlation grid graph). The correlated ...
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0answers
52 views
Spearmanr on two pandas dataframes
I have two pandas dataframes that look about the same but with different information stored in them. My question will be about how to compare the two dataframes to ensure column and row match before ...
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0answers
15 views
How to find correlation among multiple attributes in group by dataframe object?
I have a data frame with following attributes :
CP - Counting point of vehicles
A-Junction - Starting node of a road
...
3
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1answer
44 views
Feature selection for time series prediction
I'm working on an LSTM-based stock market forecasting problem and trying to figure out a way to select input variables.
When calculating correlation between variables (e.g. Close price of Tesla vs ...
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0answers
23 views
Problems with Graphical Lasso
I'm trying to use the Graphical Lasso algorithm (more specifically the R package glasso) to find an estimated graph representing the connections between a set of nodes by estimating a precision matrix....
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0answers
9 views
Robust method to extract “pure” part of a variable
I am trying to perform a multi linear regression model:
$$y_i = β_0 + β_1x_{i1} + β_2x_{i2} +... + β_px_{ip} + ε_i$$
where $$x_{i1}, x_{i2}, ..., x_{ip}$$ are highly correlated with each other (VIFs ...
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2answers
31 views
Is there any logic to adding a threshold to see if two variables are related?
I have two variables $X$ and $Y$ given as tuples of $(x, y)$, and I want to see if there is a relationship between the two variables. I can do so by finding the correlation coefficient.
However, I ...
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13 views
Looking for correlation between a big set of variables: divided in groups or all together?
I have a tiny classified dataset (2 classes and over 20 samples for each class) where I would like to find the highest pair-correlated variables. I doubt if I should mix both groups of samples and run ...
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1answer
19 views
automatic feature selection
I have a lot (thousands are possible) of automatically-generated ordinal features that i'd like to exploit , to differentiate between two classes. I'm looking for some measure that will select the ...
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1answer
77 views
Representing cyclical features as sin/cos components
I'm working on a prediction project where we have a lot cyclical features such as hour of the day, weekday, month, day of year, etc etc.
After some searching I decided to follow the advice here.
Now ...
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1answer
25 views
Time Posting Data Analysis
I work in a professional services company and would like to get some analytics on how discipline the fee earners post their times to the system may have an impact to the revenue.
One area that I am ...
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0answers
114 views
What is the relationship between correlation ratio and one-way Anova?
According to the answer to this post, it is recommended to use one-way anova to compute the dependence between a categorical and a numerical variable.
Besides, the second answer to this post says ...
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1k views
Finding the correlation between categorical variables
I'm working with a dataset of roughly 40000 files, each of which is the full text of a novel. I've found the percentages of words in each novel that belong to different mutually exclusive categories ...
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0answers
25 views
Correlation analysis and augmented dickey fuller test
I am performing the correlation analysis for each of the sectors (consumer discretionary, consumer staples, financials, technology, etc.) and the MSCI ACWI index. I am using their daily return data to ...
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36 views
Regression algorithm for weak correlated target and features
I have a regression problem in hand. Dataset have 20 predictors and 1 target. Target is continuous and predictors are both categorical and continous. I performed a correlation test between continous ...
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0answers
44 views
How to Classify X Column to the correlated Y Column?
I'm having trouble to attack this "classification" problem, with some pattern recognition.
I need to classify a whole X column to the correlated Y column.
For example,
Classify the data in column X2 ...
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2answers
112 views
Random Forests with complementary features
In my dataset, I have 2 features that are not only correlated but that makes sense only in the presence of each other. For instance, one would be the number of times a task was attempted and the other ...
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1answer
160 views
Standard correlation coefficient of various datasets
I understood the correlation coefficient of the first line. But the correlation coefficient of second and third line differ with the first line in figure 1. Why is it so ?. Even the shapes differ for ...
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1answer
44 views
Chi-squared for continuous variables
I am using chi-squared to determine feature importance as I select features to train a supervised ML model. I create a contingency table for the feature/target, and feed this contingency table into ...
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3answers
484 views
Is Pearson coefficient a good indicator of dependency between variables?
Once I have been asked how would I calculate correlation between two time series. Since I am new to data science I answered: "I would just calculate the Pearson correlation coefficient". That wasn't a ...
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1answer
126 views
How do i interpret this correlation
Does this mean that as long as the student has good gpa and good gre even though his Alma Mater's prestige is low - he will get admitted in a college
Any additional things i can interpret from below ?...
3
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1answer
84 views
Discarding correlation among inputs in a neural network
I am working on a problem with 4 inputs and 1 continuous output variable. The sum of all values of the 4 input variables is always 1.
a1+a2+a3+a4=1
So, they are correlated.
My question is: ...
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0answers
52 views
Adjusted coefficient pearson as CNN loss function
I am trying to create a CNN (using python Keras) that runs on medical images of cancer and classifies them as cancerous or not. (Sample sizes vary between 30,000-280,000 on each trial run).
As an ...
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1answer
20 views
How do different models take in account independence/dependence of features?
How do different models take in account independence/dependence of features?
I've only found very rough "pointers" as to what assumptions different models make about the independence/dependence of ...
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0answers
23 views
Is it the job of the modelling approach to consider or not consider independence/dependence of features? Or should it be known before-hand?
I'm confused,
Is it the job of the modelling approach to consider or not consider independence/dependence of features? Or should it be known before-hand?
If I know nothing about independence/...
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2answers
379 views
Why is a correlation matrix symmetric?
I'm sorry for being so weak in math. (I'm a student) For eg. this is a correlation matrix.
...
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1answer
50 views
What are some data sources with strong positive and negative correlations in feature and sample space?
For example, financial data has in some cases strong positive and negative correlations between different stocks (feature space) and also strong positive and negative correlations between specific ...
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0answers
19 views
Making sense of kernel canonical correlation analysis weights in the original space?
Kernel Canonical Correlation Analysis offers a non-linear alternative solution to the classical Canonical Correlation Analysis by first projecting the data into a higher-dimensional feature space. A ...
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0answers
86 views
Correlated features and double dipping
I am performing a machine learning analysis of MRI data. I have an extremely large number of features, thus I decided to remove highly correlated features and I decided to perform this step ...
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0answers
20 views
Algorithms affected by multicollinearity due to correlation between independent features
Please help me in understanding which and all machine learning get affected by Multi-collinearity due to the correlation between the independent features.
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2answers
69 views
How do I determine if variables are correlated? Is it simply a mathematical calculation?
I'm self learning data science so bear with me as I try and make my question as clear as possible. Lets assume I have a dataset of a dependent variable y and some independent variables x1, x2 and x3 ...
3
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1answer
62 views
Generalization of Correlation Coefficient
The correlation coefficient tells me how two variables (sequences of numbers) are correlated with each other. Does it generalize to non-linear scenarios? How could one more generally measure the ...
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1answer
177 views
Clustering a contingency table
I have a contingency table listing individuals with certain traits. For the sake of simplicity, let's say the table has individuals in rows, and the type of food they like in columns:
...
