search for: max_acc_ownr_nwrth_n_m

Displaying 3 results from an estimated 3 matches for "max_acc_ownr_nwrth_n_m".

neural network not using all observations
2009 May 12
0
neural network not using all observations
...an a linear regression model I built. I am using the function nnet and following the example of Venables and Ripley, in Modern Applied Statistics with S, on pages 246 to 249. I have standardized variables (z-scores) such as assets, age and tenure. I have other variables that are binary (0 or 1). In max_acc_ownr_nwrth_n_med for example, the variable has a value of 1 if the client's net worth is above the median net worth and a value of 0 otherwise. These are derived variable I created and variables that the regression algorithm has found to be predictive. A regression on the same variables shown below gives me a...
FW: neural network not using all observations
2009 May 12
0
FW: neural network not using all observations
...an a linear regression model I built. I am using the function nnet and following the example of Venables and Ripley, in Modern Applied Statistics with S, on pages 246 to 249. I have standardized variables (z-scores) such as assets, age and tenure. I have other variables that are binary (0 or 1). In max_acc_ownr_nwrth_n_med for example, the variable has a value of 1 if the client's net worth is above the median net worth and a value of 0 otherwise. These are derived variable I created and variables that the regression algorithm has found to be predictive. A regression on the same variables shown below gives me a...
How do I extract the scoring equations for neural networks and support vector machines?
2009 May 12
0
How do I extract the scoring equations for neural networks and support vector machines?
...an a linear regression model I built. I am using the function nnet and following the example of Venables and Ripley, in Modern Applied Statistics with S, on pages 246 to 249. I have standardized variables (z-scores) such as assets, age and tenure. I have other variables that are binary (0 or 1). In max_acc_ownr_nwrth_n_med for example, the variable has a value of 1 if the client's net worth is above the median net worth and a value of 0 otherwise. These are derived variable I created and variables that the regression algorithm has found to be predictive. A regression on the same variables shown below gives me a...