Pearson's Coefficient for classification problem The Next CEO of Stack Overflow2019 Community Moderator ElectionHow to get correlation between two categorical variable and a categorical variable and continuous variable?Hive: How to calculate the Kendall coefficient of correlation of a pair of a numeric columns in the group?Why is the correlation coefficient of a constant function with function input is not defined?Dissmissing features based on correlation with target variableMisleading Pearson Correlation Coefficient?Generalization of Correlation CoefficientIs Pearson coefficient a good indicator of dependency between variables?Standard correlation coefficient of various datasetsIn supervised learning, how to get info from correlation?Is dimension reduction helpful to select features for a classification problem?

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Pearson's Coefficient for classification problem



The Next CEO of Stack Overflow
2019 Community Moderator ElectionHow to get correlation between two categorical variable and a categorical variable and continuous variable?Hive: How to calculate the Kendall coefficient of correlation of a pair of a numeric columns in the group?Why is the correlation coefficient of a constant function with function input is not defined?Dissmissing features based on correlation with target variableMisleading Pearson Correlation Coefficient?Generalization of Correlation CoefficientIs Pearson coefficient a good indicator of dependency between variables?Standard correlation coefficient of various datasetsIn supervised learning, how to get info from correlation?Is dimension reduction helpful to select features for a classification problem?










1












$begingroup$


Can we use Pearson's Correlation Coefficient to calculate the correlation between features and target in the case of a classification problem?










share|improve this question









$endgroup$











  • $begingroup$
    Yes, you can. Does it make sense to? Not really. stats.stackexchange.com/questions/119835/…
    $endgroup$
    – Dan Carter
    Mar 25 at 15:09










  • $begingroup$
    @DanCarter, I agree it doesn't make sense to use it. So calculating Pearson's r and using it for feature selection is not correct I believe. But I have seen in many places (especially in Kaggle competitions) that people use corr() for feature selection. Am I missing something here?
    $endgroup$
    – Anju
    Mar 26 at 6:01















1












$begingroup$


Can we use Pearson's Correlation Coefficient to calculate the correlation between features and target in the case of a classification problem?










share|improve this question









$endgroup$











  • $begingroup$
    Yes, you can. Does it make sense to? Not really. stats.stackexchange.com/questions/119835/…
    $endgroup$
    – Dan Carter
    Mar 25 at 15:09










  • $begingroup$
    @DanCarter, I agree it doesn't make sense to use it. So calculating Pearson's r and using it for feature selection is not correct I believe. But I have seen in many places (especially in Kaggle competitions) that people use corr() for feature selection. Am I missing something here?
    $endgroup$
    – Anju
    Mar 26 at 6:01













1












1








1


1



$begingroup$


Can we use Pearson's Correlation Coefficient to calculate the correlation between features and target in the case of a classification problem?










share|improve this question









$endgroup$




Can we use Pearson's Correlation Coefficient to calculate the correlation between features and target in the case of a classification problem?







machine-learning classification correlation






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 25 at 8:45









AnjuAnju

82




82











  • $begingroup$
    Yes, you can. Does it make sense to? Not really. stats.stackexchange.com/questions/119835/…
    $endgroup$
    – Dan Carter
    Mar 25 at 15:09










  • $begingroup$
    @DanCarter, I agree it doesn't make sense to use it. So calculating Pearson's r and using it for feature selection is not correct I believe. But I have seen in many places (especially in Kaggle competitions) that people use corr() for feature selection. Am I missing something here?
    $endgroup$
    – Anju
    Mar 26 at 6:01
















  • $begingroup$
    Yes, you can. Does it make sense to? Not really. stats.stackexchange.com/questions/119835/…
    $endgroup$
    – Dan Carter
    Mar 25 at 15:09










  • $begingroup$
    @DanCarter, I agree it doesn't make sense to use it. So calculating Pearson's r and using it for feature selection is not correct I believe. But I have seen in many places (especially in Kaggle competitions) that people use corr() for feature selection. Am I missing something here?
    $endgroup$
    – Anju
    Mar 26 at 6:01















$begingroup$
Yes, you can. Does it make sense to? Not really. stats.stackexchange.com/questions/119835/…
$endgroup$
– Dan Carter
Mar 25 at 15:09




$begingroup$
Yes, you can. Does it make sense to? Not really. stats.stackexchange.com/questions/119835/…
$endgroup$
– Dan Carter
Mar 25 at 15:09












$begingroup$
@DanCarter, I agree it doesn't make sense to use it. So calculating Pearson's r and using it for feature selection is not correct I believe. But I have seen in many places (especially in Kaggle competitions) that people use corr() for feature selection. Am I missing something here?
$endgroup$
– Anju
Mar 26 at 6:01




$begingroup$
@DanCarter, I agree it doesn't make sense to use it. So calculating Pearson's r and using it for feature selection is not correct I believe. But I have seen in many places (especially in Kaggle competitions) that people use corr() for feature selection. Am I missing something here?
$endgroup$
– Anju
Mar 26 at 6:01










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