alessandrominervini / naivebayes_vs_perceptron_curves

Plot Generalization Error vs. Training Examples on Naive Bayes and Perceptron predictions

NaiveBayes_vs_Perceptron_Curves

Plot of 'Generalization Error vs. Training Examples' on Naive Bayes and Perceptron predictions

Run

1. Download the repository, the dataset are included in 'Dataset' folder.

2. For each dataset run /dataset_name.py to plot the respective error curve.

Used Datasets

From UCI Repository:

• Adult
• Blood Trasfusion
• Breast Cancer
• Cryotherapy
• Fertility
• Ionosphere
• Mammographic Masses
• Mushrooms
• Pima
• Sonar

Implementation

Dependently on each kind of dataset, some pre-processing operations have been done. The method used for classification is Cross Validation, 4-fold or stratified 3-fold. The function plot_learning_curve() determines cross-validated test scores for different training set sizes, and plots the Naive Bayes and Perceptron curves.

Used libraries

• Numpy
• Pandas
• Sklearn
• Matplotlib