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kn_​example_​ml_​binary_​threshold_​inspection_​table

Inspect Results of Machine Learning "BINARY" (0,1) Targets using the "Binary Classification Inspector" and "H2O Binomial Scorer"

Inspect Results of Machine Learning "BINARY" (0,1) Targets using the "Binary Classification Inspector" and "H2O Binomial Scorer"
https://forum.knime.com/t/create-a-table-that-counts-tp-fp-tn-fn-at-different-thresholds/65938/4?u=mlauber71

Census Income Data Set
Predict whether income exceeds $50K/yr based on census data. Also known as "Adult" dataset
https://archive.ics.uci.edu/ml/datasets/census+income

Inspect Results of Machine Learning "BINARY" (0,1) Targets using the "Binary Classification Inspector" and "H2O Binomial Scorer"https://forum.knime.com/t/create-a-table-that-counts-tp-fp-tn-fn-at-different-thresholds/65938/4?u=mlauber71Census Income Data SetPredict whether income exceeds $50K/yr based on census data. Also known as "Adult" datasethttps://archive.ics.uci.edu/ml/datasets/census+income Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” packagehttps://medium.com/p/efcaf58fa783https://forum.knime.com/t/data-preparation-for-machine-learning-with-knime-and-the-python-vtreat-package/58679?u=mlauber71 get an overview of several thresholdshttps://forum.knime.com/t/create-a-table-that-counts-tp-fp-tn-fn-at-different-thresholds/65938/3?u=mlauber71 dataset_binary_class.parquethttps://archive.ics.uci.edu/ml/datasets/census+incomeTRAINING / TESTmy_modelmy_modelload the datainto an H2O Contextgeneral overview=> you can select your own optimal thresholdREMEMBER: there always is a price to pay :-)v_thresholdSTARTchangeuserDefinedThresholdvia Flow Variablemy_model"The gains lift" tableParquet Reader Partitioning ConstantValue Column RowID XGBoost TreeEnsemble Learner XGBoost Predictor H2O Local Context Table to H2O H2O Binomial Scorer Column Filter Binary ClassificationInspector Table Creator Table Row ToVariable Loop Start Binary ClassificationInspector Loop End RowID ConstantValue Column Inspect Results of Machine Learning "BINARY" (0,1) Targets using the "Binary Classification Inspector" and "H2O Binomial Scorer"https://forum.knime.com/t/create-a-table-that-counts-tp-fp-tn-fn-at-different-thresholds/65938/4?u=mlauber71Census Income Data SetPredict whether income exceeds $50K/yr based on census data. Also known as "Adult" datasethttps://archive.ics.uci.edu/ml/datasets/census+income Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” packagehttps://medium.com/p/efcaf58fa783https://forum.knime.com/t/data-preparation-for-machine-learning-with-knime-and-the-python-vtreat-package/58679?u=mlauber71 get an overview of several thresholdshttps://forum.knime.com/t/create-a-table-that-counts-tp-fp-tn-fn-at-different-thresholds/65938/3?u=mlauber71 dataset_binary_class.parquethttps://archive.ics.uci.edu/ml/datasets/census+incomeTRAINING / TESTmy_modelmy_modelload the datainto an H2O Contextgeneral overview=> you can select your own optimal thresholdREMEMBER: there always is a price to pay :-)v_thresholdSTARTchangeuserDefinedThresholdvia Flow Variablemy_model"The gains lift" tableParquet Reader Partitioning ConstantValue Column RowID XGBoost TreeEnsemble Learner XGBoost Predictor H2O Local Context Table to H2O H2O Binomial Scorer Column Filter Binary ClassificationInspector Table Creator Table Row ToVariable Loop Start Binary ClassificationInspector Loop End RowID ConstantValue Column

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Created by: m_lauber
Created at: 2022-12-29
On NodePit since: 2023-04-27
Last update: 2024-04-27
Created with KNIME version: v4.7.2
Tags: datapreparationbinaryinspectionresultstrue positivetrue negativethresholdh2o.aiAUCAccuracyRecallPrecisionSensitivitySpecificityF-Measure

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