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ML Presentation

Team Choice: Classification

Joshua Staples

Model: GBT

Accuracy: 75%

Precision: 83% (0's) 55% (1's)

F1-Score: 83% (0's) 55% (1's)

Does really good identifying 0's, barely better than a guess for 1's.

Excluded the >100000 Income column.

ROC Curve:

Kody Smith

Model: GBT

Accuracy: 77%

Precision:

F1-Score:

Excluded the >100000 Income column.

ROC Curve:

Bryton Petersen

Model: SVM Classifier

Accuracy:

Precision:

F1-Score:

![](I dont actually have a picture yet)

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