Search results
Jump to navigation
Jump to search
- Machine Learning - Ensemble of Models (category Create Classifier)Machine Learning Ensemble: 1. In Displayr, select Anything > Advanced Analysis > Ensemble of Models. In Q, select Create > Classifier > Ensemble of Models. 217 KB (1,559 words) - 05:23, 20 October 2023
- Machine Learning - Gradient Boosting (category Create Classifier)Creates a predictive model for either regression or classification from an ensemble of underlying tree or linear regression models. Boosting is a method for21 KB (2,266 words) - 05:23, 20 October 2023
- Machine Learning - Save Variable(s) - Probabilities of Each Response (category Create Classifier)MachineLearningEnsemble or Regression', 'flipData::Probabilities(', ')', null, null, 'prob', ['MachineLearning', 'MachineLearningEnsemble', 'Regression']);1 KB (73 words) - 00:57, 21 August 2023
- Machine Learning - Save Variable(s) - Predicted Values (category Create Classifier)Learning, MachineLearningEnsemble or Regression', 'predict(', ')', null, null, 'pred.val', ['MachineLearning', 'MachineLearningEnsemble', 'Regression']);1 KB (92 words) - 00:57, 21 August 2023
- Machine Learning - Compare Models (category Create Classifier)or Regression models"}); } // Ensemble or comparison var ensemble = form.checkBox({label: "Ensemble", name: "formEnsemble", default_value: false, prompt:15 KB (1,430 words) - 05:23, 20 October 2023
- comparison of different MaxDiff models. Marketing - MaxDiff - Ensemble of Models creates an ensemble by averaging the respondent parameters of multiple MaxDiff24 KB (3,072 words) - 23:26, 22 February 2021