Questions tagged [chi-square-test]
The chi-square-test tag has no usage guidance.
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Goodness on test or train set?
I split my data set before on train (80%) and test (20%) splits. Trained logistic regression model on the train set. Now, want to check the goodness of fit using the Chi-square likelihood omnibus test,...
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For feature selection, do we use Chi-squared with Mutual Information together?
Or do we only choose one out of two for categorical data.
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Does one-hot encode effects chi-square test?
I am doing a feature selection for a data science project with one of those feature being a high cardinality categorical variable (for context, it’s nationality). I know chi-square test could handle ...
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Filling NaN values
According to my knowledge, before filling nan values we have to check whether data is missing because of MCAR, MAR or MNAR and it depends on how features are correlated with each other and then make a ...
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ValueError for Chi2 Python
I am running Feature selection using Chi2 code on some data ,the diabetes dataset and the HR dataset from Kaggle. While running the code on diabetes, all is good because the values are all numeric ...
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p-value of chi squared test is exactly 0.0
I need to do a chi square test of two of my dataset's categorical variables.
This two variables have basically the same meaning but comes from two different sources, so my idea is to use a chi square ...
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Why do I get this result with a chi- square test?
I have a question about the chi squared independence test, I'm working on dataset and I'm interested in finding the link between the categories of product and the gender, I plot my contingency table.
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Chi - Square test for Validating Sampled Data
I have a large dataset (stored in a dataframe) that needs to be sampled, so I have performed sampling on it (sampled data also stored in a dataframe) and now wish to check if the sample data is ...
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Intragroup indepence in two groups analysis
I am working in an experiment in which I want to analyze the impact of a treatment on two different groups of customers. Most of the method for analysis I have checked (for example t-test) have as a ...
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Low P value in Chi-squared test but low coefficient in logistic regression
I ran a chi squared test on multiple features & also used these features to build a binary classifier using logistic regression. The feature which had the least p value (~0.1) had a low ...
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Multiple Hypotheses in python
I want to write a method to test multiple hypotheses for a pair of schools (say TAMU and UT Austin). I want to consider all possible pairs of words (Research Thesis Proposal AI Analytics), and ...
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Should I remove features such as gender and birth month before drawing the heatmap because they are categorical?
I am working on a dataset that has both categorical and numerical (continuous and discrete) features (26 columns, 30244 rows). Target is categorical (1, 2, 3) and I am performing EDA on this dataset.
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How to get correlation between the categories of two categorical variable?
I have a categorical variable with 2 categories ("Health") ('healthy', 'not_healthy') and another categorical variable ("country") with 5 categories ("english", "eua&...
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Chi-Squared test: ok for selecting significant features?
I would have a question on the contingency table and its results.
I was performing this analysis on names starting with symbols as a possible feature, getting the following values:
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What is the best alternative for Fisher's Exact test for contigency tables that are NOT 2x2?
I am a newbie to data mining. I am trying to find associations between two categorical variables. Since more than 20% of my expected frequencies are less than 5, I wanted to use Fisher exact test but ...
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Interpreting the results based on Granger Causality test
I am trying to use Granger Causality test: https://www.statsmodels.org/stable/generated/statsmodels.tsa.stattools.grangercausalitytests.html
to assess whether "positivity score" affects ...
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Chi Square Test Goodness of Fit
I want to use a chi square test but I'm unsure if I'm using it right. The KickStarter website shows the frequency of main categories projects. It is updated once a day. I got a data set of KickStarter ...
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Chi-square test - how can I say if attributes are correlated?
I am experimenting a course's teorical contents on this dataset. After data cleaning, I am trying to use chi-square test. I wrote the following code:
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Linear regression with a fixed intercept and everything is in log
I have a set of values for a surface (in pixels) that becomes bigger over time (exponentially). The surface consists of cells that divide over time. After doing some modelling, I came up with the ...
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Using a Subset of Categories in a Categorical Column
I have a XGBoost model and I'm going to retrain it by adding new features. There is a column in my data and it's about professions of the customers. It has 60 categories. I suppose there is no need to ...
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