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<- MachineLearning(formula = `ks-projects-201801.csv`$Variables$state_cat ~ `ks-projects-201801.csv`$Variables$main_category_cat + backers1000 + less1000,\n algorithm = formAlgorithm,\n weights = QPopulationWeight, subset = QFilter,\n missing = formMissing, output = formOutput, show.labels = !formNames,\n seed = get0(\"formSeed\"),\n cost = get0(\"formCost\"),\n booster = get0(\"formBooster\"),\n grid.search = get0(\"formSearch\"),\n sort.by.importance = get0(\"formImportance\"),\n hidden.nodes = get0(\"formHiddenLayers\"),\n max.epochs = get0(\"formEpochs\"),\n normalize = get0(\"formNormalize\"),\n outcome.color = get0(\"formOutColor\"),\n predictors.color = get0(\"formPredColor\"),\n prior = get0(\"formPrior\"),\n prune = get0(\"formPruning\"),\n early.stopping = get0(\"formStopping\"),\n predictor.level.treatment = get0(\"formPredictorCategoryLabels\"),\n outcome.level.treatment = get0(\"formOutcomeCategoryLabels\"),\n auxiliary = get0(\"formAuxiliaryVariables\"),\n correction = get0(\"formCorrection\"),\n robust.se = get0(\"formRobustSE\"),\n importance.absolute = get0(\"formAbsoluteImportance\"),\n interaction = get0(\"formInteraction\"))","lastSavedCode":"library(flipMultivariates)\n\ncart <- MachineLearning(formula = `ks-projects-201801.csv`$Variables$state_cat ~ `ks-projects-201801.csv`$Variables$main_category_cat + backers1000 + less1000,\n algorithm = formAlgorithm,\n weights = QPopulationWeight, subset = QFilter,\n missing = formMissing, output = formOutput, show.labels = !formNames,\n seed = get0(\"formSeed\"),\n cost = get0(\"formCost\"),\n booster = get0(\"formBooster\"),\n grid.search = get0(\"formSearch\"),\n sort.by.importance = get0(\"formImportance\"),\n hidden.nodes = get0(\"formHiddenLayers\"),\n max.epochs = get0(\"formEpochs\"),\n normalize = get0(\"formNormalize\"),\n outcome.color = get0(\"formOutColor\"),\n predictors.color = get0(\"formPredColor\"),\n prior = get0(\"formPrior\"),\n prune = get0(\"formPruning\"),\n early.stopping = get0(\"formStopping\"),\n predictor.level.treatment = get0(\"formPredictorCategoryLabels\"),\n outcome.level.treatment = get0(\"formOutcomeCategoryLabels\"),\n auxiliary = get0(\"formAuxiliaryVariables\"),\n correction = get0(\"formCorrection\"),\n robust.se = get0(\"formRobustSE\"),\n importance.absolute = get0(\"formAbsoluteImportance\"),\n interaction = get0(\"formInteraction\"))","highlightedCodeSpans":[{"start":62,"length":44,"index":0},{"start":109,"length":52,"index":0},{"start":164,"length":11,"index":0},{"start":178,"length":8,"index":0},{"start":236,"length":13,"index":4},{"start":297,"length":17,"index":6},{"start":325,"length":7,"index":6},{"start":380,"length":11,"index":4},{"start":402,"length":10,"index":4},{"start":429,"length":9,"index":4}],"tableTransformations":"<TabularTransformer>\r\n <TabularTransform type=\"Truncation\" truncationHeaderType=\"Column\" />\r\n <TabularTransform 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