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03_​H2O_​GLM_​Regression_​Model

Workflow

H2O Generalized Linear Model for regression
This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model evaluation.
H2O Generalized Linear Model machine learning glm
Training a Generalized Linear Model for regression with H2O This tutorial shows how to train an GLM Regression Model using H2O in KNIME. We will train a Model andpredict the reponse of the carspeed dataset. Finally we score the accuracy of our model.1. Prepare:Load the carspeed data, import the resulting KNIME Table to H2O and partition the data for test and train set30/70.2. Learn:We learn the GBMGLM Model using the "H2O Generalized Linear Model Learner (Regression) using thedefault algorithm settings.3. Predict:Make predictions on test data using the model. 4. Score:In order to evaluate our model, we asess the accuracy by scoring the predictions made on the test data. 1. Prepare 2. Learn 4. Score 3. Predict Start local H2O NodeLoad carspeed dataPredictScore predictionLearn GLM Regression Model H2O Local Context Table Reader H2O Predictor(Regression) H2O Numeric Scorer Import to H2O andpartition data H2O Generalized LinearModel Learner (Regression) Training a Generalized Linear Model for regression with H2O This tutorial shows how to train an GLM Regression Model using H2O in KNIME. We will train a Model andpredict the reponse of the carspeed dataset. Finally we score the accuracy of our model.1. Prepare:Load the carspeed data, import the resulting KNIME Table to H2O and partition the data for test and train set30/70.2. Learn:We learn the GBMGLM Model using the "H2O Generalized Linear Model Learner (Regression) using thedefault algorithm settings.3. Predict:Make predictions on test data using the model. 4. Score:In order to evaluate our model, we asess the accuracy by scoring the predictions made on the test data. 1. Prepare 2. Learn 4. Score 3. Predict Start local H2O NodeLoad carspeed dataPredictScore predictionLearn GLM Regression Model H2O Local Context Table Reader H2O Predictor(Regression) H2O Numeric Scorer Import to H2O andpartition data H2O Generalized LinearModel Learner (Regression)

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Nodes

03_​H2O_​GLM_​Regression_​Model consists of the following 7 nodes(s):

Plugins

03_​H2O_​GLM_​Regression_​Model contains nodes provided by the following 3 plugin(s):