Minethedata's Posts - AnalyticBridge2020-11-30T10:11:25ZMinethedatahttps://www.analyticbridge.datasciencecentral.com/profile/Minethedatahttps://storage.ning.com/topology/rest/1.0/file/get/2236857427?profile=original&width=48&height=48&crop=1%3A1https://www.analyticbridge.datasciencecentral.com/profiles/blog/feed?user=24af4fp3w4z8n&xn_auth=nologisitc regressiontag:www.analyticbridge.datasciencecentral.com,2010-11-28:2004291:BlogPost:836042010-11-28T07:09:42.000ZMinethedatahttps://www.analyticbridge.datasciencecentral.com/profile/Minethedata
i am carrying out logistic regression over 1 set of data. for the test data should i use the model which is developed or use the test data also to build the model.
i am carrying out logistic regression over 1 set of data. for the test data should i use the model which is developed or use the test data also to build the model.Data mining techniquestag:www.analyticbridge.datasciencecentral.com,2010-11-25:2004291:BlogPost:834512010-11-25T12:21:35.000ZMinethedatahttps://www.analyticbridge.datasciencecentral.com/profile/Minethedata
Suppose while modeling the training data we use clustering initially to group together objects and then apply decision trees for the data which belongs to cluster 1. Then for the test data how do we conclue that this data belongs to which cluster or do we have to carry out clustering again along with the training data and how do we apply the decision trees which we used for cluster 1?
Suppose while modeling the training data we use clustering initially to group together objects and then apply decision trees for the data which belongs to cluster 1. Then for the test data how do we conclue that this data belongs to which cluster or do we have to carry out clustering again along with the training data and how do we apply the decision trees which we used for cluster 1?Logistic regressiontag:www.analyticbridge.datasciencecentral.com,2010-11-13:2004291:BlogPost:824492010-11-13T08:20:29.000ZMinethedatahttps://www.analyticbridge.datasciencecentral.com/profile/Minethedata
Trying to compare 2 methods for churn prediction . 1st method is based on churn attrition calculation by extrapolating churn attrition rate and 2nd method is based on churn prediction by logistic regression. Obvious difference is that the fiurst method gives the headcount but the second method can give individual prediction. Another is that 2nd method is more realistic as it is based on number of realistic variables. Interested to know some more comparisons.
Trying to compare 2 methods for churn prediction . 1st method is based on churn attrition calculation by extrapolating churn attrition rate and 2nd method is based on churn prediction by logistic regression. Obvious difference is that the fiurst method gives the headcount but the second method can give individual prediction. Another is that 2nd method is more realistic as it is based on number of realistic variables. Interested to know some more comparisons.Logistic regression.tag:www.analyticbridge.datasciencecentral.com,2010-10-18:2004291:BlogPost:807742010-10-18T15:17:17.000ZMinethedatahttps://www.analyticbridge.datasciencecentral.com/profile/Minethedata
can we find out which variables are important for carrying out logisitc regression before carrying out logistic regression?
can we find out which variables are important for carrying out logisitc regression before carrying out logistic regression?