arpithaupd/breast-cancer-coimbra-classification

Investigate the performance of classification algorithms to select the appropriate classification algorithm for the "Breast Cancer Coimbra" data set.

#Breast Cancer Coimbra Data Set

https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Coimbra#

###Abstract Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.

###Source Miguel Patrício(miguelpatricio '@' gmail.com), José Pereira (jafcpereira '@' gmail.com), Joana Crisóstomo (joanacrisostomo '@' hotmail.com), Paulo Matafome (paulomatafome '@' gmail.com), Raquel Seiça (rmfseica '@' gmail.com), Francisco Caramelo (fcaramelo '@' fmed.uc.pt), all from the Faculty of Medicine of the University of Coimbra and also Manuel Gomes (manuelmgomes '@' gmail.com) from the University Hospital Centre of Coimbra

###Data Set Information

There are 10 predictors, all quantitative, and a binary dependent variable, indicating the presence or absence of breast cancer. The predictors are anthropometric data and parameters which can be gathered in routine blood analysis. Prediction models based on these predictors, if accurate, can potentially be used as a biomarker of breast cancer.

####Attribute Information:

• Quantitative Attributes:
• Age (years)
• BMI (kg/m2)
• Glucose (mg/dL)
• Insulin (µU/mL)
• HOMA
• Leptin (ng/mL)
• Adiponectin (µg/mL)
• Resistin (ng/mL)
• MCP-1(pg/dL)

####Labels:

• 1=Healthy controls
• 2=Patients