0.0, 0.25420099, 0.70250899, 0.7434534, 0.8746745, ... 2.54634634

modelClass = Sequential()
modelClass.add(LSTM(100))
modelClass.add(Dense(1, activation='sigmoid'))
modelClass.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
modelClass.fit(X_tr, y_tr, epochs=3, batch_size=64)
print(modelClass.summary())
scores = modelClass.evaluate(X_tst, y_tst, verbose=0)
print("Accuracy: %.2f%%" % (scores[1]*100))