{"title":"X-Partitioner","nodeType":"LoopStart","id":"*BKpS2Ow-rnvw2TSf","factoryName":"org.knime.base.node.meta.xvalidation.XValidatePartitionerFactory","factoryId":"org.knime.base.node.meta.xvalidation.XValidatePartitionerFactory","path":["Analytics","Mining","Scoring","Cross Validation"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node is the first in a cross validation loop. At the end of the loop there must be a X-Aggregator to collect the results from each iteration. All nodes in between these two node are executed as many times as iterations should be performed.</p>\n        ","shortDescription":"Data partitioner for use in a cross-validation flow","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Scoring","Cross Validation"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Any datatable","description":"The datatable that is to be split"}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Training data","description":"The data table with the training data"},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Test data","description":"The data table with the test data"}],"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":[{"sectionName":"Options","fields":[{"name":"Number of validations","description":"The number of cross validation iterations that should be performed.","optional":false},{"name":"Sampling method","description":"Choose the sampling method for partitioning the data:\n<ul><li><b>Linear sampling</b> : The input table is cut into consecutive pieces.</li><li><b>Random sampling</b> : The partitions are sampled randomly from the input table.</li><li><b>Stratified sampling</b> : The partitions are sampled randomly but the class distribution from the column selected below is maintained.</li><li><b>Leave-one-out</b> : Performs a leave-one-out cross validation, i.e. there are as many iterations as data points and in each iteration another point&#39;s target value is predicted by using all remaining points as training set.</li></ul>","optional":false},{"name":"Class column","description":"The name of the column with the class labels for stratified sampling.","optional":false},{"name":"Use random seed","description":"For random and stratified sampling you can choose a seed for the random number generator in order to get reproducible results. Otherwise you get different partitions every time.","optional":false},{"name":"Random seed","description":"The seed value for the random number generator.","optional":false},{"name":"Draw seed","description":"Generate a random seed and set it in the Random seed input above for reproducible runs.","optional":false}]}],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202606261225","bundleName":"KNIME Base Nodes","bundleSymbolicName":"org.knime.base","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.base","featureName":"KNIME Base nodes","featureVersion":"5.12.0.v202606261225","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*bjR3r1yWOznPIEXS"},"frequentSuccessors":[{"id":"*mTvdLptC3aqDqGrI","factoryName":"org.knime.base.node.mine.decisiontree2.predictor2.DecTreePredictorNodeFactory","probability":0.097799511002445},{"id":"*T2WZJU7jOfyFDtl6","factoryName":"org.knime.base.node.mine.decisiontree2.learner2.DecisionTreeLearnerNodeFactory3","probability":0.06051344743276284},{"id":"*bEpED7jfbp16dueW","factoryName":"org.knime.ext.weka37.predictor3.WekaPredictorNodeFactory","probability":0.053178484107579464},{"id":"*aoLtzFmsAKOw1SBL","factoryName":"org.knime.base.node.mine.neural.mlp2.MLPPredictorNodeFactory","probability":0.042787286063569685},{"id":"*lISJ_edcE_TG6MVp","factoryName":"org.knime.base.node.mine.bayes.naivebayes.predictor3.NaiveBayesPredictorNodeFactory2","probability":0.04156479217603912},{"id":"*wa3Cexa-0Df6kyDj","factoryName":"org.knime.base.node.mine.knn.KnnNodeFactory","probability":0.03850855745721271},{"id":"*izly7J6Cf2Jpbfso","factoryName":"org.knime.base.node.mine.treeensemble2.node.randomforest.predictor.classification.RandomForestClassificationPredictorNodeFactory2","probability":0.03117359413202934},{"id":"*MDnuT47u-1Lrdpba","factoryName":"org.knime.base.node.mine.treeensemble2.node.randomforest.predictor.classification.RandomForestClassificationPredictorNodeFactory","probability":0.02689486552567237},{"id":"*z4QawMJlTQW3cArl","factoryName":"org.knime.base.node.mine.svm.predictor2.SVMPredictorNodeFactory","probability":0.02628361858190709},{"id":"*LyRcLydCVnHBRIb0","factoryName":"org.knime.base.node.mine.regression.predict3.RegressionPredictorNodeFactory2","probability":0.023227383863080684}]}