Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to explain the results #5

Closed
werhoog opened this issue Apr 16, 2020 · 1 comment
Closed

How to explain the results #5

werhoog opened this issue Apr 16, 2020 · 1 comment

Comments

@werhoog
Copy link

werhoog commented Apr 16, 2020

Predicted_Class P0 P1
1 0.496959 0.503788
0 0.641231 0.359205
1 0.483336 0.51587

Hi, thanks for this software. Could you help me explain this result(shown already). I guess the P0 represents the probability of label 0. If so, how I can read the first column (1-0-1). Does the rank of 1-0-1 represent the rank of the amino acid sequences in the input fasta file?

Also, do you have any suggestion if the input protein has many chains and each chain has the same amino acid sequence as other chains?

@raghvendra5688
Copy link
Collaborator

Hi,

The first column represents the predicted label for the entire protein i.e. 1 for soluble protein and 0 for insoluble protein.

You can have any protein as input as long as the length of the protein sequence is less than 1000 amino acids.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants