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Hello, I'm doing a multiple linear regression. For my regression I have choosen the M5 prime feature with a min tolerance of 0,05. The final model contains three independent variables. Two of them have a p-value under 0,05 and one is above with a p-value of 0,135 (and t-Stat of 1,543). Two other independent variables have…
hello everyone, i got this result of logistic regression but now i dont know how to answer these questions, can someone please explain to me? 1- which variable is the most decisive predictor of churn 2- Explain the choice and impact of the most decisive predictor, the impact of tariff plans, and of data usage thanks
podrían ayudarme a saber con que operador encuentro los datos que están duplicados pero sin removerlos, solo necesito saber si en archivo de datos existen registros duplicados
Hi everybody I am using linear regression operatore. everything is fine except this issue. I have 15 attributes for linear regression. I use feature selection M5 prime but the final model is weird. I receive "?" instead of numbers in the p-value column. when I remove one attribute form the data, the final result doesn't…
Hello! Within statistics we usually operate with a 5% significance value for determining which attributes are significant or insignificant in the model. Thereby one can remove insignificant attributes and get a "simpler" model. How would one go ahead doing this in Rapidminer and is there an automated process for it?
Hello RapidMiner community, I've searched a lot but still did not find a way to calculate summary statistics (e.g., p-value) after using the logistic regression operator or the chi-square correlation. Am I missing some tip or the RapidMiner does not allow to calculate such parameters? Thank you very much!