{"title":"Bootstrap Sampling","nodeType":"Manipulator","id":"*i1MQOr0EbxLu4c1B","factoryName":"org.knime.base.node.preproc.bootstrap.BootstrapNodeFactory","factoryId":"org.knime.base.node.preproc.bootstrap.BootstrapNodeFactory","path":["Manipulation","Row","Transform"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>Samples the data using <a href=\"http://en.wikipedia.org/wiki/Bootstrap_aggregating\" rel=\"ugc nofollow noopener noreferrer\">bootstrapping</a> . Bootstrapping is a sampling technique, which randomly draws rows from the input with replacement. The output table will therefore likely contain duplicate rows while other rows are not present in the output at all.</p>\n        ","shortDescription":"Samples the data using bootstrapping.","keywords":[],"deprecated":false,"streamable":false,"tags":["Manipulation","Row","Transform"],"icon":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAIAAACQkWg2AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAA3BpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuNi1jMDY3IDc5LjE1Nzc0NywgMjAxNS8wMy8zMC0yMzo0MDo0MiAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0ieG1wLmRpZDowYjM2YWM5Ny01ZWJhLTQwZTctOTE4OS1iYmU4ZDdkMGYyNGUiIHhtcE1NOkRvY3VtZW50SUQ9InhtcC5kaWQ6RUQ4QjM4NjY4NzkxMTFFNUIyNjBENUZBOEI3RjgwMEUiIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6RUQ4QjM4NjU4NzkxMTFFNUIyNjBENUZBOEI3RjgwMEUiIHhtcDpDcmVhdG9yVG9vbD0iQWRvYmUgUGhvdG9zaG9wIENDIDIwMTUgKE1hY2ludG9zaCkiPiA8eG1wTU06RGVyaXZlZEZyb20gc3RSZWY6aW5zdGFuY2VJRD0ieG1wLmlpZDpBNzU0NzI4QTE2OEMxMUU1QkQ5NUExQjU5MUVDNkZCQiIgc3RSZWY6ZG9jdW1lbnRJRD0ieG1wLmRpZDpCRjcxMDcwMjE2OEMxMUU1QkQ5NUExQjU5MUVDNkZCQiIvPiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gPD94cGFja2V0IGVuZD0iciI/Pm+OMVsAAABoSURBVHjaYmBABSwsLHi4QMAIxB8nWzMQB/hzjzIxkAhor4ER6C1ubm44/+PHj3x8fIyMIL/9////06dP/Pz8cNmvX7+CJJ75+cOFpDZtxM8dDp5mgEjAAVAaD5cufiBZAwOpyRsgwACdQ0iVCTbA9wAAAABJRU5ErkJggg==","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Table to sample from","description":"Table containing the data that should be sampled."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Bootstrap samples","description":"The extracted samples."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Holdout samples","description":"The data that has not been used."}],"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":"Output size type","description":"Defines how the size of the output is specified.\n<ul><li><b>Relative (%)</b> : The size of the output is a percentage of the total rows.</li><li><b>Absolute</b> : The size of the output is an absolute number of rows.</li></ul>","optional":false},{"name":"Relative size","description":"The amount of samples relative to the original table.","optional":false},{"name":"Number of rows","description":"The absolute amount of samples created.","optional":false},{"name":"Enable static seed","description":"If selected, the sampling is driven by a static seed for reproducible results.","optional":false},{"name":"Static seed","description":"You may enter a fixed seed here in order to get reproducible results upon re-execution. If you do not specify a seed, a new random seed is taken for each execution.","optional":false},{"name":"Draw seed","description":"Generate a random seed and set it in the Random seed input above for reproducible runs.","optional":false},{"name":"Append count of occurrences","description":"Will append a column containing the number of times this data is present in the bootstrap samples.","optional":false},{"name":"Append original RowID","description":"Will append a column containing the original RowID in the bootstrap samples.","optional":false},{"name":"RowID separator","description":"The bootstrap samples have a RowID that is composed of the original RowID, the separator and an incremented number for the copies of each row.","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":"*0rhLXWO6OS1xMi8T","factoryName":"org.knime.base.node.preproc.append.row.AppendedRowsNodeFactory","probability":0.061855670103092786},{"id":"*T2WZJU7jOfyFDtl6","factoryName":"org.knime.base.node.mine.decisiontree2.learner2.DecisionTreeLearnerNodeFactory3","probability":0.04639175257731959},{"id":"*mTvdLptC3aqDqGrI","factoryName":"org.knime.base.node.mine.decisiontree2.predictor2.DecTreePredictorNodeFactory","probability":0.04639175257731959},{"id":"*5stmXk6zY_ORA4bC","factoryName":"org.knime.base.node.preproc.groupby.GroupByNodeFactory","probability":0.02577319587628866},{"id":"*izly7J6Cf2Jpbfso","factoryName":"org.knime.base.node.mine.treeensemble2.node.randomforest.predictor.classification.RandomForestClassificationPredictorNodeFactory2","probability":0.02577319587628866},{"id":"*JtnpaPrHbtobg2Rq","factoryName":"org.knime.ext.chem.moss.node.MoSSNodeFactory","probability":0.02577319587628866},{"id":"*UBFBTBhsSBh4funv","factoryName":"org.knime.ext.jfc.node.barchart.JfcBarChartNodeFactory","probability":0.02577319587628866},{"id":"*2hhbyPN8yXaMD1YU","factoryName":"org.knime.base.node.mine.treeensemble2.node.randomforest.learner.classification.RandomForestClassificationLearnerNodeFactory2","probability":0.02577319587628866},{"id":"*czTL7CtWUSI10JzJ","factoryName":"org.knime.base.node.mine.regression.logistic.learner4.LogRegLearnerNodeFactory4","probability":0.02577319587628866},{"id":"*3o-UY2qMENf5piCd","factoryName":"org.knime.base.node.preproc.sample.SamplingNodeFactory","probability":0.020618556701030927}]}