Questions tagged [anova]

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1answer
40 views

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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0answers
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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0answers
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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0answers
86 views

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-...
1
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1answer
67 views

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 ...
0
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1answer
366 views

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 ...
0
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1answer
15 views

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 ...
0
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1answer
164 views

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. ...
1
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1answer
41 views

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 ...
1
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0answers
49 views

What is the underlying difference between linear and non-linear relationship?

Study on linear correlation coefficient and nonlinear correlation coefficient in mathematical statistics WANG Ting, ZHANG Shiqiang Studies in Mathematical Sciences 3 (1), 58-63, 2011 From the above ...
5
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3answers
2k views

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 ...