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TermProject_​Team3_​Suraj_​1

Step 2: Data UnderstandingThese are various nodes/combinations of nodes that we used to gather a better understanding of the data and relationships among attributes. Please note that some nodes were used for morethan one function, so not every node used is included. Step 3: Data PreparationWe executed the following nodes to correct quality issues within the data set. Step 4: Model building and EvaluationThe following nodes is used to view the best model to calculate our data Node 1Diversity based on EthnicityCoversion to % (int1rat)Conversion to % (int2rat)Round the decimal valueAvg. of interestAvg. of InterestRound the decimal valueClassification by GenderFilter for EnrollmentDiversity based on ResidencyClassificationb by Residencyoriginal statisticscorrecting missing valuesIdenify Outlierscorrecting inconsistent values in territorycorrecting outliersCoversion of Instate to Binarydiscretization of satscorediscretization of avg_incomecorrecting inconsistent values in territorycorrecting negative inconsistent value in intit_spanValidation for init_spanvalidation for outliersDrop attributesMailq vs enrollmentPartion DataNode 65Node 66Balance DataNode 68Node 69Partion DataBalance DataNode 73Node 74Node 75Node 76Node 77Node 78Partion DataBalance DataNode 81Node 82Node 83Node 84Node 85Node 86 File Reader Pie/Donut Chart Math Formula Math Formula Round Double GroupBy GroupBy Round Double Pie/Donut Chart Row Filter Pie/Donut Chart Pie/Donut Chart Statistics Missing Value Box Plot Cell Replacer Numeric Outliers Rule Engine Numeric Binner Numeric Binner Table Creator Numeric Outliers Box Plot Box Plot Column Filter ConditionalBox Plot Partitioning DecisionTree Learner Decision TreePredictor Equal Size Sampling Scorer ROC Curve One to Many Partitioning Equal Size Sampling Normalizer Normalizer (Apply) RProp MLP Learner MultiLayerPerceptronPredictor ROC Curve Scorer Partitioning Equal Size Sampling Random ForestLearner Random ForestPredictor Scorer ROC Curve Bar Chart Bar Chart Step 2: Data UnderstandingThese are various nodes/combinations of nodes that we used to gather a better understanding of the data and relationships among attributes. Please note that some nodes were used for morethan one function, so not every node used is included. Step 3: Data PreparationWe executed the following nodes to correct quality issues within the data set. Step 4: Model building and EvaluationThe following nodes is used to view the best model to calculate our data Node 1Diversity based on EthnicityCoversion to % (int1rat)Conversion to % (int2rat)Round the decimal valueAvg. of interestAvg. of InterestRound the decimal valueClassification by GenderFilter for EnrollmentDiversity based on ResidencyClassificationb by Residencyoriginal statisticscorrecting missing valuesIdenify Outlierscorrecting inconsistent values in territorycorrecting outliersCoversion of Instate to Binarydiscretization of satscorediscretization of avg_incomecorrecting inconsistent values in territorycorrecting negative inconsistent value in intit_spanValidation for init_spanvalidation for outliersDrop attributesMailq vs enrollmentPartion DataNode 65Node 66Balance DataNode 68Node 69Partion DataBalance DataNode 73Node 74Node 75Node 76Node 77Node 78Partion DataBalance DataNode 81Node 82Node 83Node 84Node 85Node 86 File Reader Pie/Donut Chart Math Formula Math Formula Round Double GroupBy GroupBy Round Double Pie/Donut Chart Row Filter Pie/Donut Chart Pie/Donut Chart Statistics Missing Value Box Plot Cell Replacer Numeric Outliers Rule Engine Numeric Binner Numeric Binner Table Creator Numeric Outliers Box Plot Box Plot Column Filter ConditionalBox Plot Partitioning DecisionTree Learner Decision TreePredictor Equal Size Sampling Scorer ROC Curve One to Many Partitioning Equal Size Sampling Normalizer Normalizer (Apply) RProp MLP Learner MultiLayerPerceptronPredictor ROC Curve Scorer Partitioning Equal Size Sampling Random ForestLearner Random ForestPredictor Scorer ROC Curve Bar Chart Bar Chart

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Created by: sramakr
Created at: 2021-09-25
On NodePit since: 2021-11-15
Last update: 2024-04-28
Created with KNIME version: v4.4.1

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