All of these methods are most effective when they are data driven, meaning your organization picks the targets and tailors the tactics based on the correct reading of available data. Being data driven does not require that you have a certain amount or type of data or a particular technology....
The results show that, after the fifth additional year, predictive performance is only marginally increased, meaning that the company in this study can discard 69% of its data with almost no decrease in predictive performance. The practical implication is that analysts can substantially decrease data...
The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982, 143, 29–36. [Google Scholar] [CrossRef] [Green Version] Montavon, G.; Samek, W.; Müller, K.R. Methods for interpreting and understanding deep neural networks. Digit. Signal Process....
It is not obvious how to interpret the concept of drift velocity in the churn flow region. Interpolation to zero flow rate does not appear to have physical meaning. In their paper, Zuber and Findlay (1965) illustrated, using the data of Wallis et al. (1963), that the plot of gas ...
“And” conditions continue to filter down, meaning a customer has to fitbothconditions in order to be included in the segment. “Or” conditions means a customer will be added to the segment if they meant at least one of the filters. ...
In other words, in data processing, rather than grasping the meaning of the attribute from the column description or performing preprocessing using machine learning, the feature was derived based on a discussion and consultation with the rental care staff while developing the prediction model. (2) ...
Too often, SaaS businesses are failing to accurately calculate their churn rate - or even consider it at all. We tell you how to calculate churn properly, how important the metric is for your business, and how to reduce it.
Too often, SaaS businesses are failing to accurately calculate their churn rate - or even consider it at all. We tell you how to calculate churn properly, how important the metric is for your business, and how to reduce it.
Looking at statistics is a great starting point to find out the quality of the data and if cleaning is needed. As we can see from the above, the means and the medians are close to each other meaning the data is normally distributed or clean. ...
001 showed that the coefficients for the dates were significant, meaning that the time fixed-effects were required. The likelihood-ratio (LR) statistics of the model was χ(13)2=68,796,p<.001, implying that the model was a good fit. To check and compare the models' goodness of fit, ...