model = Sequential()
model.add(Dense(200, input_dim=13, kernel_initializer='uniform', activation='relu'))
model.add(Dense(1000, kernel_initializer='uniform', activation='relu'))
model.add(Dropout(0.2))
model.add(Dense(100, kernel_initializer='uniform', activation='relu'))
model.add(Dense(1, kernel_initializer='uniform'))
model.compile(loss='mean_squared_error', optimizer='adam', metrics=['accuracy'])