Mercy Markus MercyMarkus

## evaluate-model.py
from sklearn.metrics import roc_auc_score
def auc_score(y_score,y_true):
    return torch.tensor(roc_auc_score(y_true,y_score[:,1]))
probs,val_labels = learn.get_preds(ds_type=DatasetType.Valid)
print('Accuracy',accuracy(probs,val_labels)),
print('Error Rate', error_rate(probs, val_labels))
print('AUC', auc_score(probs,val_labels))

## Kagoro People.markdown

      
        
          
            
              
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                MercyMarkus
                / Kagoro People.markdown
            
            
              Created
              February 27, 2016 04:59
                — forked from anonymous/Kagoro People.markdown
            
              
                Kagoro People
              
          
        
      
        
  
      
    Kagoro People

A simple Tribute Page to my Unknown Tribe.
A Pen by MercyMarkus on CodePen.
License.
	from sklearn.metrics import roc_auc_score
	def auc_score(y_score,y_true):
	return torch.tensor(roc_auc_score(y_true,y_score[:,1]))
	probs,val_labels = learn.get_preds(ds_type=DatasetType.Valid)
	print('Accuracy',accuracy(probs,val_labels)),
	print('Error Rate', error_rate(probs, val_labels))
	print('AUC', auc_score(probs,val_labels))