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Latest Discussions

• Interpretation of leverage plot axes

  Hello,
  I am trying to understand how to interpret the leverage plot axes-- specifically why negative x and y values are plotted when my data have none of these. I understand, I supposed, that negative y values could be the result of model uncertainty, but why the x values? For sake of discussion, if it matters, I am running a multiple regression of rainfall amount (cm), development level of watersh...

  atwee

  Discussions |

  Sep 22, 2020 12:11 PM

  2873 views | 3 replies

• How to Interpret: Generalized Regression Model with Binary (Categorical) Variables

  We’re fitting a model that tests the efficacy of a treatment (e.g., a pharmaceutical product). The DV is Recovered, a binary variable (0/1), defined as numeric nominal. The research question is whether the treatment affects the expression of a precondition and thus improves recovery. We expect that people with certain level of the precondition will react differently to the treatment, i.e., an inte...

  Juter

  Discussions |

  Sep 17, 2020 2:51 PM

  5117 views | 7 replies

• Partition Modelling: What dictates Minimum Size Split?

  I am not a de facto statistician but have gained much experience in biostatistics over many years, thanks largely to using the standard version of JMP (currently v13). I certainly cannot imagine using anything else and regularly promote it.I am presently progressively defining partitions in a variety of continuous variables to optimise outcome in a binomial categorical variable (fail versus pass)....

  34South

  Discussions |

  Aug 30, 2020 2:02 PM

  4647 views | 4 replies

• confusion matrix and performance meassures

  At present in JMPpro, the only performance meassure automatic calculated from the confusion matrix from a model is the misclassification rate and eventually the AUC of the ROC. Other meassures such as Fase positive and  False negative rates, sensitivity , specificity, negative and positive predictive value, precision/recall (= F1-score) and MCC are commonly described in ML literature and are very ...

  Lu

  Discussions |

  Aug 22, 2020 9:55 AM

  3556 views | 1 replies

• Variable selection and Bootstrap Forest

  Hello,I performed a Bootstrap forest analysis wirth a categorical ouctcome with 230 features, many of them are highly correlated. There is a hughe difference in performance  between my training (AUC 0.98) and validation set (0.68). Since the data are highly dimensional and many of the variables are correlated variable reduction is needed. Can I use GenReg with Lasso or other penalized techniques f...

  Lu

  Discussions |

  Aug 15, 2020 6:42 AM

  3853 views | 5 replies