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4 modul Zaytsev

Node 150 dec treesmin node size = 280% for training set20% for testing setz-normalize the data with0 mean and standarddeviation of 1Use the model to make predictionsNode 323Node 334Node 335Node 338Node 339Node 340Node 34180% for training set20% for testing setCSV Reader Random ForestLearner Random ForestPredictor Scorer (JavaScript) Partitioning Normalizer (PMML) Logistic RegressionPredictor SMOTE Column Filter SMOTE LogisticRegression Learner Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Number To String Partitioning Scorer (JavaScript) Scorer (JavaScript) Node 150 dec treesmin node size = 280% for training set20% for testing setz-normalize the data with0 mean and standarddeviation of 1Use the model to make predictionsNode 323Node 334Node 335Node 338Node 339Node 340Node 34180% for training set20% for testing setCSV Reader Random ForestLearner Random ForestPredictor Scorer (JavaScript) Partitioning Normalizer (PMML) Logistic RegressionPredictor SMOTE Column Filter SMOTE LogisticRegression Learner Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Number To String Partitioning Scorer (JavaScript) Scorer (JavaScript)

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