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Entrepreneur_​Competence_​Iteratively_​59.1

Raw dataChange name Column Y to EntrepreneurChange Gender, city..to 0 and 1Partition data80% training20% testTraining model with Interatively reweighted least squareand Guassz-normalize the data with0 mean and standarddeviation of 1Rename 1 to Entrepreneur0 to Non-EntrepreneurUse the model to make predictionsCalculate accuracy andconfusion matrixCSV Reader Column Rename Category To Number Partitioning LogisticRegression Learner Normalizer (PMML) Rule Engine Logistic RegressionPredictor Scorer Raw dataChange name Column Y to EntrepreneurChange Gender, city..to 0 and 1Partition data80% training20% testTraining model with Interatively reweighted least squareand Guassz-normalize the data with0 mean and standarddeviation of 1Rename 1 to Entrepreneur0 to Non-EntrepreneurUse the model to make predictionsCalculate accuracy andconfusion matrixCSV Reader Column Rename Category To Number Partitioning LogisticRegression Learner Normalizer (PMML) Rule Engine Logistic RegressionPredictor Scorer

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