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DataScience_​with_​KNIME_​an_​Introduction

Analyzing Churn

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Learn a data mining model Predict different models Data preparation Evaluate the quality of your model Visual Data Exploration Split in Training and Test Set Using Parameter Optimization in KNIME Read and combine your data sources Partioning Data80/20Contract DataJoin Dataarea codeand churn ->StringFilter Non-RelevantColumnsSimple BuisnessRulesNode 775Node 776Node 778Node 779Color ByChurnNode 781Node 782 ParameterOptimization Decision TreePredictor Random ForestLearner Random ForestPredictor DecisionTree Learner Partitioning Excel Reader (XLS) File Reader Joiner Number To String Column Filter Rule Engine Math Formula Table Rowto Variable Data Explorer Scatter Plot Color Manager Scorer Scorer Learn a data mining model Predict different models Data preparation Evaluate the quality of your model Visual Data Exploration Split in Training and Test Set Using Parameter Optimization in KNIME Read and combine your data sources Partioning Data80/20Contract DataJoin Dataarea codeand churn ->StringFilter Non-RelevantColumnsSimple BuisnessRulesNode 775Node 776Node 778Node 779Color ByChurnNode 781Node 782ParameterOptimization Decision TreePredictor Random ForestLearner Random ForestPredictor DecisionTree Learner Partitioning Excel Reader (XLS) File Reader Joiner Number To String Column Filter Rule Engine Math Formula Table Rowto Variable Data Explorer Scatter Plot Color Manager Scorer Scorer

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Created by: lars.schweikardt
Created at: 2019-11-21
On NodePit since: 2020-12-17
Last update: 2024-04-27
Created with KNIME version: v4.2.3

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