# -*- coding: utf-8 -*-
"""
Adapted from original at 
https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
Created on Tue Jan 21 20:22:24 2020
@author: oscar
"""

# first neural network with keras tutorial
from numpy import loadtxt
from keras.models import Sequential
from keras.layers import Dense

# load the dataset
dataset = loadtxt(r"C:\Users\oscar\Google Drive\sourcecode\diabetes.csv", delimiter=',')
# split into input (X) and output (y) variables
X = dataset[:,0:8]
y = dataset[:,8]

# define the keras model
model = Sequential()
model.add(Dense(12, input_dim=8, activation='relu'))
model.add(Dense(8, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

# compile the keras model
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])


# fit the keras model on the dataset
model.fit(X, y, epochs=150, batch_size=10)

# evaluate the keras model
_, accuracy = model.evaluate(X, y)
print('Accuracy: %.2f' % (accuracy*100))