Questions tagged [chi-square-test]

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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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4 views

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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1answer
24 views

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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1answer
26 views

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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23 views

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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24 views

ANOVA on one hot encoded feature

Suppose I am training a model for binary classification and I have a categorical feature which has been one-hot encoded. Suppose the feature is Gender and the one ...
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23 views

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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16 views

Which are the features selection techniques depending on the combination on cat num columns in independent and dependent features?

I am very confused: For what I understood I should: Multicollinearity check with Pearson corr and possibly consider to drop multicolliner features Then? I am very confused feature selection should be ...
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28 views

ANOVA Feature Scoring

in order to score features, in ORANGE, using ANOVA scoring, the features should have a normal distribution? Thank you, J
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1answer
29 views

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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1answer
36 views

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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1answer
116 views

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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47 views

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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1answer
51 views

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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2answers
299 views

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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51 views

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 ...