Neural Network for Classification

import pandas as pd
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import cross_val_score
import matplotlib.pyplot as plt
%matplotlib inline

breast_cancer = load_breast_cancer()
df_breast_cancer = pd.DataFrame(breast_cancer['data'], columns=breast_cancer['feature_names'])
df_breast_cancer['target'] = breast_cancer['target']

df_breast_cancer.head()

clf = MLPClassifier(solver='lbfgs', alpha=1e-5,
                    hidden_layer_sizes=(10,3,3), random_state=1)
 

cv_score = cross_val_score(clf,
                           X=df_breast_cancer.iloc[:, :-1],
                           y=df_breast_cancer['target'],
                           cv=5)
plt.plot(cv_score);