{"title":"Low Variance Filter","nodeType":"Manipulator","id":"*0J-YQquqjxfH58Jk","factoryName":"org.knime.base.node.preproc.lowvarfilter2.LowVarFilter2NodeFactory","factoryId":"org.knime.base.node.preproc.lowvarfilter2.LowVarFilter2NodeFactory","path":["Analytics","Mining","Feature Selection"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>Filters out double-compatible columns, whose variance is below a user defined threshold. Columns with low variance are likely to distract certain learning algorithms (in particular those which are distance based) and are therefore better removed.</p>\n             \n            <p>Note, the input table should not be normalized with a Gaussian normalization or any other normalization technique which changes the variances of the input.</p>\n            \n        \n        ","shortDescription":"Filters out numeric columns, which have a low variance.","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Feature Selection"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input data","description":"Numeric input data. (Non-numeric columns will be left untouched.)"}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Filtered data","description":"Filtered 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":"Variance upper bound","description":"Choose a variance value here. The higher the value, the more columns are likely to get filtered out. Choose 0 to filter for columns, which only contain one constant value.","optional":false},{"name":"Columns to include","description":"This list contains the names of the columns that are considered for filtering. Any other column will be left untouched (i.e. will also be present in the output table independent of their variance). Only double-compatible columns can be selected.","optional":false}]}],"links":[],"kudos":[{"accountId":"account:user:299df9d9-2ae6-400e-8752-869a73beaa8b","user":"raph0007","date":"2020-08-28T08:04:28+00:00"}],"kudosCount":1,"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":"*NLi-6Jsf1G1obd8x","factoryName":"org.knime.base.node.preproc.correlation.filter.CorrelationFilterNodeFactory","probability":0.12325581395348838},{"id":"*XSCKH1I1S2QiA5_-","factoryName":"org.knime.base.node.preproc.normalize.NormalizerDeNodeFactory","probability":0.09302325581395349},{"id":"*oluxz9j9RhfJY3E0","factoryName":"org.knime.base.node.preproc.correlation.compute.CorrelationComputeNodeFactory","probability":0.08604651162790698},{"id":"*DOkyMaii62U05xZ1","factoryName":"org.knime.base.node.preproc.filter.column.DataColumnSpecFilterNodeFactory","probability":0.05116279069767442},{"id":"*T0AhxSe0Yi42rQK8","factoryName":"org.knime.base.node.preproc.partition.PartitionNodeFactory","probability":0.044186046511627906},{"id":"*LBLxD9VX3jSsQcU1","factoryName":"org.knime.base.node.preproc.filter.columnref.ColumnFilterRefNodeFactory","probability":0.023255813953488372},{"id":"*FSlgHcjvjKcSmjeT","factoryName":"org.knime.base.node.mine.treeensemble2.node.gradientboosting.learner.classification.GradientBoostingClassificationLearnerNodeFactory","probability":0.020930232558139535},{"id":"*jd2U-FYTI8jCbQls","factoryName":"org.knime.base.node.preproc.filter.row.RowFilterNodeFactory","probability":0.020930232558139535},{"id":"*7isNz6mji9l5c7Iv","factoryName":"org.knime.base.node.preproc.normalize3.Normalizer3NodeFactory","probability":0.018604651162790697},{"id":"*uVmaGQkzUOFCTqUe","factoryName":"org.knime.base.node.preproc.pmml.missingval.compute.MissingValueHandlerNodeFactory","probability":0.01627906976744186}]}