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Support Vector Regression with Weka

<p><strong>Support Vector Regression with Weka</strong></p><p></p><p>The University of Saskatchewan</p><p>Ph.D. in Interdisciplinary Studies</p><p></p><p>Created by: Carlos Enrique Diaz, MBM, B.Eng.</p><p>Email: carlos.diaz@usask.ca</p><p></p><p>Supervisor: Lori Bradford, Ph.D.</p><p>Email: lori.bradford@usask.ca</p><p></p><p>This workflow emulates the Weka Forecast package, automatically generating attributes such as Month, Quarter, and Date-remapped, among others. For more details, refer to the Weka Git Repository and the time series forecasting tutorial series in the Advanced Data Mining with Weka course here: https://ml.cms.waikato.ac.nz/index.html</p><p></p><p>The workflow follows the general idea of this Knime workflow: https://hub.knime.com/s/4IWU7jTAqK-6mUA6/</p>
Support Vector Regression with WekaThe University of SaskatchewanPh.D. in Interdisciplinary StudiesCreated by: Carlos Enrique Diaz, MBM, B.Eng.Email: carlos.diaz@usask.caSupervisor: Lori Bradford, Ph.D.Email: lori.bradford@usask.caThis workflow emulates the Weka Forecast package, automatically generating attributes such as Month, Quarter, andDate-remapped, among others. For more details, refer to the Weka Git Repository and the time series forecastingtutorial series in the Advanced Data Mining with Weka course here: https://ml.cms.waikato.ac.nz/index.htmlThe workflow follows the general idea of this Knime workflow: https://hub.knime.com/s/4IWU7jTAqK-6mUA6/ Support VectorRegression inWEKAAirlineHistorical Data80/20 Split SMOreg (3.7) Weka Predictor(3.7) ARFF Reader Partitioning Numeric Scorer Preprocess Support Vector Regression with WekaThe University of SaskatchewanPh.D. in Interdisciplinary StudiesCreated by: Carlos Enrique Diaz, MBM, B.Eng.Email: carlos.diaz@usask.caSupervisor: Lori Bradford, Ph.D.Email: lori.bradford@usask.caThis workflow emulates the Weka Forecast package, automatically generating attributes such as Month, Quarter, andDate-remapped, among others. For more details, refer to the Weka Git Repository and the time series forecastingtutorial series in the Advanced Data Mining with Weka course here: https://ml.cms.waikato.ac.nz/index.htmlThe workflow follows the general idea of this Knime workflow: https://hub.knime.com/s/4IWU7jTAqK-6mUA6/ Support VectorRegression inWEKAAirlineHistorical Data80/20 SplitSMOreg (3.7) Weka Predictor(3.7) ARFF Reader Partitioning Numeric Scorer Preprocess

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