model = Sequential()
-model.add(Dense(50, input_shape=(13,), activation='relu'))
-model.add(Dense(50, activation='relu'))
-model.add(Dense(50, activation='relu'))
+model.add(Dense(26, input_shape=(13,), activation='relu'))
+model.add(Dense(100, activation='relu'))
+model.add(Dropout(0.25))
+model.add(Dense(100, activation='relu'))
+model.add(Dense(26, activation='relu'))
model.add(Dense(1, activation='sigmoid'))
model.compile(