Hi,
Below are my test loss and validation loss
epoch: 300 loss: 0.0068271682
Validation Loss: 0.00671717
But still i have false negatives completely, dont know where i am doing wrong.
confusion matrix:
[[7450    0]
[2318    0]]
          precision    recall  f1-score   support

             0       0.76      1.00      0.87      7450
             1       0.00      0.00      0.00      2318

accuracy                                  0.76      9768

macro avg       0.38      0.50      0.43      9768
weighted avg       0.58      0.76      0.66      9768
Accuracy:
0.7626945126945127
Looks like other category in binary classification is completely treated as other(0/1), so thats why i got 2318 all are false negatives.
i followed below blog for reference:

  
      
      Stack Abuse – 21 Oct 19
  
  
    

Introduction to PyTorch for Classification 4

PyTorch [https://pytorch.org/]  and TensorFlow [https://www.tensorflow.org/] 
libraries are two of the most commonly used Python libraries for deep learning.
PyTorch is developed by Facebook, while TensorFlow is a Google project. In this
article, you...


  
  
    
    
  
  


Sample dataset:
(48842, 15)

image1789×139 6.39 KB

class is the predictable one.