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01_​Classify_​Forest_​Covertypes_​with_​XGBoost

Workflow

Forest Cover Type Classification with XGBoost

This workflows shows how the XGBoost nodes can be used for classification tasks.

XGBoost classification gradient boosting gradient boosted trees parameter optimization cross validation data mining advanced analytics analytics machine learning
Forest Cover Type Classification with XGBoostThis workflows shows how the XGBoost nodes can be used for classification tasks.The data can be found at https://archive.ics.uci.edu/ml/datasets/covertype.Workflow RequirementsKNIME Analytics Platform 3.7.0 or higherKNIME XGBoost Integration The model accuracyshould be roughly 86% train / test80 / 20train model ontraining datapredict test datascore prediction Partitioning Read andPreprocess Data XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Forest Cover Type Classification with XGBoostThis workflows shows how the XGBoost nodes can be used for classification tasks.The data can be found at https://archive.ics.uci.edu/ml/datasets/covertype.Workflow RequirementsKNIME Analytics Platform 3.7.0 or higherKNIME XGBoost Integration The model accuracyshould be roughly 86% train / test80 / 20train model ontraining datapredict test datascore predictionPartitioning Read andPreprocess Data XGBoost TreeEnsemble Learner XGBoost Predictor Scorer

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Resources

Nodes

01_​Classify_​Forest_​Covertypes_​with_​XGBoost consists of the following 13 nodes(s):

Plugins

01_​Classify_​Forest_​Covertypes_​with_​XGBoost contains nodes provided by the following 2 plugin(s):