{"title":"Boosting Learner Loop Start","nodeType":"LoopStart","id":"*io0onqmszrZBZI8q","factoryName":"org.knime.ensembles.boosting.BoostingLearnerLoopStartNodeFactory","factoryId":"org.knime.ensembles.boosting.BoostingLearnerLoopStartNodeFactory","path":["Analytics","Mining","Ensemble Learning"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>Together with the corresponding loop end node a boosting loop can be constructed. It repeatedly trains simple models and weights them according to their classification error. The algorithm used is AdaBoost.SAMME, i.e. is can also cope with multi-class problems. The first output contains the re- and over-sampled dataset, rows that have been predicted wrong are contained more often than correctly predicted rows.</p>\n        ","shortDescription":"Loop start node for learning an ensemble model with boosting","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Ensemble Learning"],"icon":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAN1wAADdcBQiibeAAAABl0RVh0U29mdHdhcmUAd3d3Lmlua3NjYXBlLm9yZ5vuPBoAAAJ2SURBVDiNddNdaJZ1GMfxz/9+7ufF9TLdXKjRmCDM5awVBXogtuokdjStJNIyDDSMIAYdCEVvg1gExU5GB4siMlodiGGMWOCOMpkR1ZotWDEWYYaDtvR5u/8dbMqq9Tu74Pr+Lq63gEZ8hjk84kWZas9e9aZ9GkbKxAJhQYgj2suj8aFYt0IpvsCdoCG0yIob5H5qd/Es6SyFL5cyYzhoqjQXHiwO+6QyucyPBsRrdgEHCrRtrvttKieUK9Ye+cD1HxZFvSiJOFXlTB0OJIJjIMHDeVqTsxafuHeparHg0jt7zF5+S764yeU4JqAnT0cOdiZeKt6lO522L09bMq3/SpPjo7tXtHkjRs3Mb/F6ud93yyPYnYPmRAzf604368jREL7Wlcusv+Mr/1QjRt3a1+nzGhk2JWzL3ZKYzCYMVVJzWRRCSW/+kB1vnPdfrXN3f7/Qybmri4gNAc3WhjHbk+fjeO0khMPaMLOKCVd+59N7qPzAQjyTxBj/iJeyrjheOxlCWB9COLgqeFWlFlp7WIiQT8LR0qvhSHEmvLKmHU/iTd8M3PS/Bn8O0DvIs0VYTJyqHjJSbZN5Ocb4Gra7/bkLq8LXDWY2vrB0L424IdQS96d9Hi2Q2BtuS/fgvtVLx0ETfU8rLYcXsTW3JtGaHNcSJv2S5UzVP8awj7bu/xc95ObmAbtyzygF5iOna9TiYogxCjvT/Sbq76kK15BdQ3QcJv35hA3bviV7Cs3qGK4wm8GxJYMQGhSNKdsBGvM8MMXG06w7asW7zHq/8qsfsyZL5/R4CjHGv0II3RInFHR5bMsF6XjnMlzFNN7F2/F8fX5lb38D+HfY4lYID/YAAAAASUVORK5CYII=","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input","description":"Any input data with nominal class labels"}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Training data","description":"Possibly re-sampled training data, must be connected to the learner node inside the loop"},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Output","description":"Unaltered input data, must be connected to the predictor node inside the loop"}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202605041104","bundleName":"KNIME Ensemble Learning","bundleSymbolicName":"org.knime.ensembles","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.ensembles","featureName":"KNIME Ensemble Learning Wrappers","featureVersion":"5.12.0.v202605041104","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*_1Bvd90_2VpXdZt5"},"frequentSuccessors":[{"id":"*mTvdLptC3aqDqGrI","factoryName":"org.knime.base.node.mine.decisiontree2.predictor2.DecTreePredictorNodeFactory","probability":0.11864406779661017},{"id":"*ibjHOetqbiCv4KUc","factoryName":"org.knime.base.node.mine.bfn.radial.RadialBasisFunctionPredictor2NodeFactory","probability":0.06779661016949153},{"id":"*aoLtzFmsAKOw1SBL","factoryName":"org.knime.base.node.mine.neural.mlp2.MLPPredictorNodeFactory","probability":0.05084745762711865},{"id":"*a36eXM94uKOrTIlo","factoryName":"org.knime.ensembles.boosting.BoostingLearnerLoopEndNodeFactory","probability":0.05084745762711865},{"id":"*T2WZJU7jOfyFDtl6","factoryName":"org.knime.base.node.mine.decisiontree2.learner2.DecisionTreeLearnerNodeFactory3","probability":0.05084745762711865},{"id":"*ZJILMugp0g8jMFjM","factoryName":"org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.regression.GradientBoostingRegressionLearnerNodeFactory","probability":0.03389830508474576},{"id":"*bEpED7jfbp16dueW","factoryName":"org.knime.ext.weka37.predictor3.WekaPredictorNodeFactory","probability":0.03389830508474576},{"id":"*FSlgHcjvjKcSmjeT","factoryName":"org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.classification.GradientBoostingClassificationLearnerNodeFactory","probability":0.03389830508474576},{"id":"*wt9xSBS5UvbLqiFe","factoryName":"org.knime.base.node.mine.neural.rprop.RPropNodeFactory2","probability":0.03389830508474576},{"id":"*izly7J6Cf2Jpbfso","factoryName":"org.knime.base.node.mine.treeensemble2.node.randomforest.predictor.classification.RandomForestClassificationPredictorNodeFactory2","probability":0.03389830508474576}]}