# NAME
AI::ConfusionMatrix - make a confusion matrix
# SYNOPSIS
my %matrix;
Loop over your tests
---
$matrix{$expected}{$predicted} += 1;
---
makeConfusionMatrix(\%matrix, 'output.csv');
# DESCRIPTION
This module prints a [confusion matrix](
https://en.wikipedia.org/wiki/Confusion_matrix) from a hash reference. This module tries to be generic enough to be used within a lot of machine learning projects.
### Function
#### `makeConfusionMatrix($hash_ref, $filename)`
This function makes a confusion matrix from `$hash_ref` and writes it to `$filename`.
Example:
makeConfusionMatrix(\%matrix, 'output.csv');
The hash reference must look like this :
$VAR1 = {
'value_expected1' => {
'value_predicted1' => value
},
'value_expected2' => {
'value_predicted1' => value,
'value_predicted2' => value
},
'value_expected3' => {
'value_predicted3' => value
}
};
The output will be in CSV. Here is an example:
,1997,1998,2001,2003,2005,2008,2012,2015,TOTAL,TP,FP,FN,ACC
1997,1,,,,,,,1,2,1,0,1,50.00%
1998,,1,,,,,,,1,1,0,0,100.00%
2001,,,1,,,,,,1,1,0,0,100.00%
2003,,,,5,,,,2,7,5,0,2,71.43%
2005,,,,,5,,,4,9,5,0,4,55.56%
2008,,,,,,3,,,3,3,0,0,100.00%
2012,,,,,,,5,,5,5,0,0,100.00%
2015,,,,,,,,2,2,2,7,0,100.00%
TOTAL,1,1,1,5,5,3,5,9,30,23,7,7,84.62%
- TP:
True Positive
- FP:
False Positive
- FN:
False Negative
- ACC:
Accuracy
# AUTHOR
Vincent Lequertier <
[email protected]>
# LICENSE
This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.
