LightGBM Accuracy: 0.9114 on Fashion MNIST
Didn't test on MNIST.
Preprocessing:
.data.numpy().reshape(len(data), -1) → flattens the image.
StandardScaler() → ensures mean = 0, var = 1 before passing to ML models.
Please verify the result in the below collab notebook.
https://colab.research.google.com/drive/1OoYkUMkqUWZJGqDK8HgZPSxq8DadrkA1?usp=sharing
LightGBM Accuracy: 0.9114 on Fashion MNIST
Didn't test on MNIST.
Preprocessing:
.data.numpy().reshape(len(data), -1)→ flattens the image.StandardScaler()→ ensures mean = 0, var = 1 before passing to ML models.Please verify the result in the below collab notebook.
https://colab.research.google.com/drive/1OoYkUMkqUWZJGqDK8HgZPSxq8DadrkA1?usp=sharing