Questions tagged [anova]
The anova tag has no usage guidance.
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Different runs of One Way ANOVA give different results in Python (on the same data, using stats.f_oneway)
I wrote the following code:
The data I am running this code on is randomly generated, but I use fixed seeding. Each time I run the code this function gives different results for F statistics and ...
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What model should I use to predict monthly sales by products?
I am trying to predict monthly sales by product based on a plethora of variables. There are 4 predictors. One is categorical (month) and the other three are numerical. One of the variables is just ...
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Create box plot with anova model and different p value
I have created box plot which looks like this
Code -
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is my p-value of 0 for ANOVA and chi-square test valid or I made some error in providing input data
I'm working with NYC Customer service dataset and trying to perform ANOVA and chi-square contingency test for my cleaned data. But somehow I'm getting p value of 0 in both cases. As per my ...
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Hypothesis test for classification model
I have a model that outputs 0 or 1 for interest/not-interest in a job. I'm doing an A/B/C test comparing two models (treatment groups) and none (control group).
ANOVA for hypothesis testing and t-test ...
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How can I disaggregate the impact of a group of variables using machine learning?
I have a problem where the target variable Y (continuous, values: 0-1) is controlled by large number of variables. These variables can be grouped by the nature of the data:
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Score of ANOVA in selected features
I selected features using ANOVA (because I have Numerical data as input and Categorical data as target):
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Levene test for equal variance
I would like to run one-way ANOVA test on my data. I saw that one of several assumptions for one-way ANOVA is that there needs to be homogeneity of variances. I have run the test for different data-...
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What conclusion can I get when the variable is influenced by other but there isn't any correlation?
I am doing an analytic exploratory analysis.
If the target is a continuous variable and the attributes are all categorical (discrete values), in order to know if exist any influence on the target from ...
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When should mutual information be used for feature selection over other feature selection methods like correlation, ANOVA , etc?
I have a data set with categorical and continuous/ordinal explanatory variables and continuous target variable. I tried to filter features using one-way ANOVA for categorical variables and using ...
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pass variable length argument to mstats.kruskalwallis
I am trying to run kruskawallis test on multiple columns of my data for that i wrote an function
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What does it mean to have 1 degree of freedom in ANOVA test?
So I used python to run multi-factorial ANOVA analysis on a data set. I first used a ols.fit() and then the anova_lm function. I realized for the variables I am analyzing their degree of freedom is 1. ...
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Question on ANOVA and Correlation/Association
I've been working on examining statistical relationships between variable:
Pearsons, Spearman's for continuous variables
Kendall's Tau, Cramer's V for ordinal/nominal variables.
I know there's many ...
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Should features be correlated or uncorrelated for classification?
I have seen researchers using pearson's correlation coefficient to find out the relevant features -- to keep the features that have a high correlation value with the target. The implication is that ...
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