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ameliajtaylor
June 28, 2016
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AJT_Insight_Demo.pdf
Demo completed as an Insight Data Science Fellow.
ameliajtaylor
June 28, 2016
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Transcript
Water they doing with those meters? Amelia Taylor A consulting
project for Valor Water Analytics: Insight Fellow
Utility companies have leaks.
Analytics Companies Have a Problem
Analytics Companies Have a Problem Prototype Model
Analytics Companies Have a Problem Prototype Model Meter Tampering
Scores
Analytics Companies Have a Problem Prototype Model Meter Tampering
Scores New Scores Using new supervised data
Data Existing Model Scores & Labels Algorithms
Data Existing Model Scores & Labels SMOTE Resample
Algorithms
Data Existing Model Scores & Labels SMOTE Resample
Random Forest Classification New Scores Algorithms
Data Existing Model Scores & Labels SMOTE Resample
Random Forest Classification Gradient Descent New Scores Algorithms
Metrics My algorithm: Random Forest with SMOTE
Company Prototype Model ROC Curves Increased AUC by 70%
Metrics My algorithm: Random Forest with SMOTE
Company Prototype Model ROC Curves Increased AUC by 70%
Metrics My algorithm: Random Forest with SMOTE
Company Prototype Model ROC Curves Increased AUC by 70%
Actionable Insights Quickly identified features not performing as expected.
Tampered Untampered
Actionable Insights Quickly identified features not performing as expected.
Tampered Untampered
Actionable Insights Untampered Tampered 99.924% 0.076% Untampered Tampered 50% 50%
Quickly identified features not performing as expected. Before SMOTE After SMOTE Tampered Untampered
Deliverables 1. Python Modules & API
Deliverables 1. Python Modules & API 2. Scalable platform for
improving scores from multiple prototype models.
Deliverables 1. Python Modules & API 2. Scalable platform for
improving scores from multiple prototype models. 3. Improved the true positive rate (recall) balancing that with the false positive rate. AUC Increased 70%
About Me Amelia Taylor Green: Unbiased Squangle PhD Mathematics
University of Kansas