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Adv_​Trees_​Chap2_​LMT

Decision Tree

After the data is partitioned into train and test set, a decision tree model is trained and applied.

LMTA simple example using a Weka LMT node andpredictor to classify some credit score data. For morebackground information on the dataset see https://www.kaggle.com/c/GiveMeSomeCredit split training set from test datacredit databalance the targetNode 16Node 17Node 18Node 19 Partitioning Excel Reader Equal Size Sampling LMT (3.7) Column Filter Weka Predictor(3.7) Scorer LMTA simple example using a Weka LMT node andpredictor to classify some credit score data. For morebackground information on the dataset see https://www.kaggle.com/c/GiveMeSomeCredit split training set from test datacredit databalance the targetNode 16Node 17Node 18Node 19Partitioning Excel Reader Equal Size Sampling LMT (3.7) Column Filter Weka Predictor(3.7) Scorer

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On NodePit since: 2022-09-19
Last update: 2024-04-22
Created with KNIME version: v4.6.1

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