* 겪고 있는 문제 상황을 최대한 자세하게 작성해주세요.

* 문제 해결을 위해 어떤 시도를 해보았는지 구체적으로 함께 알려주세요.

코드는 잘 작동합니다.

2주차 다항 논리 회귀 학습 결과 정확도가 굉장히 낮게 낮게 나타납니다.

동일한 케글 데이터 셋을 사용하고 동일한 학습방법을 진행했는데

정확도에서 이렇게 차이가 나는 이유는 뭔가요?

분석과 학습의 어떤 차이로 다른 결과가 도출되는지 추가 설명해 주시면 감사하겠습니다.



작성한 코드 및 에러 메세지

WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.
Epoch 1/20
5/5 [==============================] - 1s 45ms/step - loss: 2.4846 - acc: 0.1268 - val_loss: 2.0313 - val_acc: 0.0833
Epoch 2/20
5/5 [==============================] - 0s 10ms/step - loss: 2.4345 - acc: 0.1479 - val_loss: 1.9829 - val_acc: 0.0833
Epoch 3/20
5/5 [==============================] - 0s 16ms/step - loss: 2.3849 - acc: 0.1479 - val_loss: 1.9353 - val_acc: 0.1111
Epoch 4/20
5/5 [==============================] - 0s 14ms/step - loss: 2.3349 - acc: 0.1479 - val_loss: 1.8888 - val_acc: 0.1389
Epoch 5/20
5/5 [==============================] - 0s 14ms/step - loss: 2.2858 - acc: 0.1549 - val_loss: 1.8429 - val_acc: 0.1389
Epoch 6/20
5/5 [==============================] - 0s 14ms/step - loss: 2.2372 - acc: 0.1620 - val_loss: 1.7977 - val_acc: 0.1667
Epoch 7/20
5/5 [==============================] - 0s 10ms/step - loss: 2.1890 - acc: 0.1690 - val_loss: 1.7535 - val_acc: 0.1667
Epoch 8/20
5/5 [==============================] - 0s 14ms/step - loss: 2.1409 - acc: 0.1761 - val_loss: 1.7101 - val_acc: 0.1667
Epoch 9/20
5/5 [==============================] - 0s 9ms/step - loss: 2.0942 - acc: 0.1831 - val_loss: 1.6677 - val_acc: 0.1944
Epoch 10/20
5/5 [==============================] - 0s 12ms/step - loss: 2.0488 - acc: 0.1831 - val_loss: 1.6259 - val_acc: 0.2222
Epoch 11/20
5/5 [==============================] - 0s 14ms/step - loss: 2.0019 - acc: 0.1901 - val_loss: 1.5851 - val_acc: 0.2222
Epoch 12/20
5/5 [==============================] - 0s 17ms/step - loss: 1.9572 - acc: 0.2254 - val_loss: 1.5452 - val_acc: 0.2222
Epoch 13/20
5/5 [==============================] - 0s 15ms/step - loss: 1.9117 - acc: 0.2254 - val_loss: 1.5067 - val_acc: 0.2222
Epoch 14/20
5/5 [==============================] - 0s 11ms/step - loss: 1.8694 - acc: 0.2394 - val_loss: 1.4688 - val_acc: 0.2222
Epoch 15/20
5/5 [==============================] - 0s 11ms/step - loss: 1.8260 - acc: 0.2606 - val_loss: 1.4319 - val_acc: 0.2500
Epoch 16/20
5/5 [==============================] - 0s 11ms/step - loss: 1.7832 - acc: 0.2606 - val_loss: 1.3959 - val_acc: 0.2778
Epoch 17/20
5/5 [==============================] - 0s 17ms/step - loss: 1.7413 - acc: 0.2676 - val_loss: 1.3608 - val_acc: 0.2778
Epoch 18/20
5/5 [==============================] - 0s 15ms/step - loss: 1.7004 - acc: 0.2817 - val_loss: 1.3266 - val_acc: 0.2778
Epoch 19/20
5/5 [==============================] - 0s 16ms/step - loss: 1.6588 - acc: 0.2817 - val_loss: 1.2935 - val_acc: 0.3056
Epoch 20/20
5/5 [==============================] - 0s 11ms/step - loss: 1.6201 - acc: 0.2958 - val_loss: 1.2606 - val_acc: 0.3333
<keras.callbacks.History at 0x7fb0d499d9c0>Tip 1) </> 아이콘을 눌러 코드박스를 만들어 보세요.

Tip 2) Ctrl+A(맥의 경우 Command+A) 단축키로 코드를 한 번에 선택할 수 있어요!