Use case on the wdbc dataset

Dataset wdbc

Machine Learning Task: Binary classification

This is a WDBC dataset (Wisconsin Diagnostic Brest Cancer). Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe the characteristics of the cell nuclei present in the image.

Available at OpenML:

Category: Healthcare

# Rows: 569 # Columns: 30

Target: Class


Numeric: V1, V2, V3, V4, V5, V6, V7, V8, V9, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V20, ...

Machine Learning Use Case Healthcare

Area Under ROC Curve (AUC)

Wdbc Auc

Accuracy (ACC)

Wdbc Acc

Balanced Accuracy (BALACC)

Wdbc Balacc

Cross-Entropy Loss (LOGLOSS)

Wdbc Logloss

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