prediction errors

  1. O

    Validation of survival data / models

    Hello, I'm currently analysing a couple of survival data with parametric survival analysis (AFT and PH) in STATA 12. I'm investigating different parameters and different distribution function. To chose the best available model I'm using an information criterion such as AIC or BIC. So far so...
  2. E

    Help! my model isn't predicting any yes outcomes and don't know why

    I am producing a logistical regression analysis to find a model to predict whether someone has minor mental health problems or not. I'm almost certain i've coded all my data correctly but no matter which variable I put into the model it doesn't predict any yes outcomes. my classification table...
  3. F

    prediction using training data != training data

    (Full disclosure: This is a cross-post from the Kernel Machines Forum) I'm using LIBSVM for regression analysis and, despite double checking my process, I'm not getting sensible results. Specifically, when I apply my training data to my model, the results have significant scaling and offset...
  4. L

    Prediction Errors

    Given a regression output of: Budget = 1.76 + 0.20 = Lawmakers S = 4.20 R-Sq = 10.7% (There is also a scatter plot that I obviously cannot post but I'm not sure if it's needed for this...) I'm being asked what the typical size of prediction errors is. I will admit that I'm finding...