/Python/What is the difference between accuracy and loss

What is the difference between accuracy and loss

# Loss: is the distance between your prediction and the actual
# Accuracy: is the number of errors or incorrect predictions you made
  # low  accuracy high loss = you aren't right often and when you're wrong you're very wrong (worst case)
  # low  accuracy low  loss = you aren't right often  but the rest are pretty close 
  # high accuracy high loss = you are right a lot but but the rest are not close
  # high accuracy low  loss = most of your predictions are correct and the rest aren't off by much (best case)

Source: datascience.stackexchange.com

Similar codes

37 votes106 views6 answers
Turn list into string
Python
-1 vote104 views1 answer
How to find root value python
Python
75 votes112 views6 answers
Reverse string in python
Python
0 vote112 views1 answer
Create a distance matrix from a coordinate matrix in python
Python
6 votes112 views4 answers
Pandas read csv without header
Python
0 vote178 views1 answer
Lose your django secret key
Python Django
0 vote113 views1 answer
Python : a counter
Python
1 vote99 views1 answer
Pyspark when otherwise multiple conditions
Python
0 vote103 views1 answer
Python list of possible paths
Python
0 vote114 views1 answer
How to make images in python
Python