AI-ConfusionMatrix

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lib/AI/ConfusionMatrix.pm  view on Meta::CPAN

    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% |

=over

=item TP:

True Positive

=item FP:

False Positive

=item FN:

False Negative

=item SENS

Sensitivity. Number of true positives divided by the number of positives.

=item ACC:

Accuracy

=back

=head4 C<getConfusionMatrix($hash_ref)>

Get the data used to compute the table above.

Example:

    my %cm = getConfusionMatrix(\%matrix);

=head1 AUTHOR

Vincent Lequertier <vi.le@autistici.org>

=head1 LICENSE

This library is free software; you can redistribute it and/or modify
it under the same terms as Perl itself.

=cut

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