sibu1234/Breast-Cancer

In this repository, I am added a 10 machine learning classification model for breast cancer datasets classification.

9 Machine Learning Model on Breast Cancer Data

In this repository, I am added a 10 machine learning classification model for breast cancer dataset classification.

The models are followings:

• Decision Trees Classifier
• MLP Classifier
• K-Nearest Neighbours Classifier
• Logistic Regression Classifier
• Naïve Bayes Classifier
• Random Forest Classifier
• Stochastic Gradient Descent Classifier
• SVM Classifier
• XGBoost Classifier

Breast Cancer Wisconsin (Diagnostic) Data Set

This is the dataset I used for developing our classification model, the dataset description is followings:

Data Set Characteristics: Multivariate

Number of Instances: 569

Area: Life

Attribute Characteristics: Real

Number of Attributes: 32

Date Donated: 1995-11-01

Associated Tasks: Classification

Missing Values? : No

Dataset Link

Workflow

workflow used in a developing model are followings:

• Import required libraries
• Step 1 - Dataset Selection
• Step 2 - Data Normlization
• Step 3 - Train and Test Split
• Step 4 - Algorithem Selection
• Step 5 - Model Evalution (Training)
• Step 5 - Model Evalution (Testing)

Evaluation Matrix Used

• Accuracy
• Sensitivity/Recall
• Specificity
• Precision
• F-Score
• Mens Squre Error
• Root Mens Squre Error
• ROC_AUC scores (Plot)