Description :
This module prints a at 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.
Functions:
\'makeConfusionMatrix($hash_ref, $file [, $delimiter ])\'
This function makes a confusion matrix from \'$hash_ref\' and writes
it to \'$file\'. \'$file\' can be a filename or a file handle opened
with the \'w+\' mode. If \'$delimiter\' is present, it is used as a
custom separator for the fields in the confusion matrix.
Examples:
makeConfusionMatrix(\\%matrix, \'output.csv\');
makeConfusionMatrix(\\%matrix, \'output.csv\', \';\');
makeConfusionMatrix(\\%matrix, *$fh);
The hash reference must look like this :
$VAR1 = {
\'value_expected1\' => {
\'value_predicted1\' => number_of_predictions
},
\'value_expected2\' => {
\'value_predicted1\' => number_of_predictions,
\'value_predicted2\' => number_of_predictions
},
\'value_expected3\' => {
\'value_predicted3\' => number_of_predictions
}
};
The output will be in CSV. Here is an example:
,1974,1978,2002,2003,2005,TOTAL,TP,FP,FN,SENS,ACC
1974,3,1,,,2,6,3,4,3,42.86%,50.00%
1978,1,5,,,,6,5,4,1,55.56%,83.33%
2002,2,2,8,,,12,8,1,4,88.89%,66.67%
2003,1,,,7,2,10,7,0,3,100.00%,70.00%
2005,,1,1,,6,8,6,4,2,60.00%,75.00%
TOTAL,7,9,9,7,10,42,29,13,13,69.05%,69.05%
Prettified:
| | 1974 | 1978 | 2002 | 2003 | 2005 | TOTAL | TP | FP | FN | SENS | ACC |
|-------|------|------|------|------|------|-------|----|----|----|---------|--------|
| 1974 | 3 | 1 | | | 2 | 6 | 3 | 4 | 3 | 42.86% | 50.00% |
| 1978 | 1 | 5 | | | | 6 | 5 | 4 | 1 | 55.56% | 83.33% |
| 2002 | 2 | 2 | 8 | | | 12 | 8 | 1 | 4 | 88.89% | 66.67% |
| 2003 | 1 | | | 7 | 2 | 10 | 7 | 0 | 3 | 100.00% | 70.00% |
| 2005 | | 1 | 1 | | 6 | 8 | 6 | 4 | 2 | 60.00% | 75.00% |
| TOTAL | 7 | 9 | 9 | 7 | 10 | 42 | 29 | 13 | 13 | 69.05% | 69.05% |
* TP:
True Positive
* FP:
False Positive
* FN:
False Negative
* SENS
Sensitivity. Number of true positives divided by the number of
positives.
* ACC:
Accuracy
\'getConfusionMatrix($hash_ref)\'
Get the data used to compute the table above.
Example:
my %cm = getConfusionMatrix(\\%matrix);
|
