Welcome to the JMP User Community!

Latest Discussions

• kNN (k Nearest Neighbors) Displays Different Fit Statistics in JMP Pro v16

  A heads-up to those of you hoping to use kNN in JMP v16 with cross-validation... The Word attachment indicates that, for k = 3: Training R2Validation R22nd exhibit0.928390.908743rd exhibit0.97060.9086 The validation R2s are close, but not identical. Although this is minor, the difference in the training R2s is not: 0.93 vs 0.97. Documentation about this issue is not available, although there is me...

  MAS

  Discussions |

  Aug 11, 2021 4:02 PM

  2042 views | 1 replies

• Using XGBoost Model to Predict on a hold-out test set

  I am using JMP 16. I installed the XGBoost addin. I developed a xgbbost model using this. I saved the model in the data table using 'Save Prediction formulae'.  Now, I have a separate hold-out test set on which I want to run the formulae to get the prediction.  If I click the formulae (see attached figure), I found that the formulae depend on the training and validation set, which seems odd to me....

  sukrit2020

  Discussions |

  Jul 27, 2021 1:51 PM

  8383 views | 12 replies

• Best model in multinomial logistics regression model

  Hello What models use to select variables in a multinomial logistics regression model to have the best AIC ? and select the best variables ?
  I tried with the regression step by step but I don't understand that doesn't work, I have a less good confusion matrix than with my model of nominal logistic regression with all my variablesThank you

  Emma1

  Discussions |

  Jul 21, 2021 1:35 PM

  1470 views | 2 replies

• Confusion matrix "training"

  Hello, I have no question about the confusion matrix of a multinomial logistic regression model Here's there is the variable Y with 3 modalities: 1,2,3   Does "Training" mean that JMP automatically does a learning database to learn the model?Indeed when I calculate the total number of observations on my confusion matrix : 311+79+37+98+209+59+48+57+187 = 1085While my database is 1369 rowsAnd 1085/1...

  Emma1

  Discussions |

  Jul 21, 2021 10:34 AM

  1734 views | 1 replies

• Predictor screening

  For predictor screening in JMP bootstrap forest is used; this works very well however why is this method chosen and not boosted tree which is also a very powerful method? Does JMP use XGboosted?

  frankderuyck

  Discussions |

  Jul 6, 2021 10:30 AM

  3579 views | 4 replies