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This template features a typical analytical workflow for building predictive classification data mining models with TIBCO Statistica™. In this template the user can simply change the input data source and run the whole modelling process on the new data with one click.
Last Updated on 6:25am Jul 29, 2018 by TIBCO Software
Extreme Gradient Boosting or XGBoost is a supervised Machine-learning algorithm used to predict a target variable Y given a set of features – Xi
Last Updated on 8:49pm May 22, 2018 by TIBCO Software
This Spotfire template guides the user through the tasks of adhoc data discovery, supervised model creation and unsupervised model creation to build a strategy for combating financial crime.
Last Updated on 9:23am Jan 09, 2019 by TIBCO Software
This TIBCO Spotfire® template guides user through the entire model building process of supervised classification.
Last Updated on 12:42am Oct 03, 2018 by TIBCO Software
Random Forest is an ensemble tree machine-learning algorithm.  This template employs supervised learning to determine variable importance and make predictions. It features automated machine learning to facilitate use by business analysts and citizen data scientists.
Last Updated on 8:48pm May 22, 2018 by TIBCO Software
Random forests are an ensemble decision tree machine learning method for classification and regression.
Last Updated on 8:48pm May 22, 2018 by TIBCO Software
Tutorial demonstrating how to put machine learning into production, but also aimed at business users who want to learn how to set up a machine learning strategy in their businesses.  Spotfire Platform and Spotfire Cloud versions of the template are available.
Last Updated on 8:52pm May 22, 2018 by TIBCO Software
This template is used to create a GBM machine learning model to understand the effects of predictor variables on a single response. 
Last Updated on 7:48pm May 22, 2018 by TIBCO Software

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