| line |
true |
false |
branch |
|
234
|
2 |
6 |
unless my $stimuli = shift() |
|
235
|
2 |
4 |
unless my(@shuffled_stimuli_names) = @_ |
|
247
|
12 |
0 |
if csv('in', \@aoa, 'out', $_, 'encoding', ':encoding(utf-8)') |
|
301
|
9 |
4 |
unless exists $data{'learning_rate'} |
|
302
|
9 |
4 |
unless exists $data{'threshold'} |
|
309
|
4 |
22 |
unless exists $data{$_} |
|
312
|
3 |
10 |
if @missing_keys |
|
351
|
1 |
4203 |
if (@_) { } |
|
368
|
1 |
1527 |
if (@_) { } |
|
433
|
3 |
21 |
unless defined $display_stats |
|
434
|
0 |
24 |
if ($display_stats and not defined $identifier) |
|
439
|
0 |
24 |
unless open my $data_fh, '<:encoding(UTF-8)', $stimuli_train_csv |
|
468
|
33 |
396 |
if ($output >= $self->threshold and $row->{$expected_output_header} eq 0) { } |
|
|
276 |
120 |
elsif ($output < $self->threshold and $row->{$expected_output_header} eq 1) { } |
|
|
48 |
72 |
elsif ($output < $self->threshold and $row->{$expected_output_header} eq 0) { } |
|
|
72 |
0 |
elsif ($output >= $self->threshold and $row->{$expected_output_header} eq 1) { } |
|
471
|
33 |
0 |
if ($display_stats) |
|
482
|
276 |
0 |
if ($display_stats) |
|
492
|
42 |
6 |
if ($display_stats) |
|
503
|
63 |
9 |
if ($display_stats) |
|
542
|
12402 |
21186 |
if ($stimuli_hash_ref->{$_}) |
|
585
|
1188 |
9936 |
if ($tuning_status == 0) { } |
|
|
9936 |
0 |
elsif ($tuning_status == 1) { } |
|
587
|
480 |
708 |
if ($stimuli_hash_ref->{$_}) |
|
594
|
3717 |
6219 |
if ($stimuli_hash_ref->{$_}) |
|
713
|
0 |
24 |
unless exists $data_hash_ref->{$_} |
|
716
|
0 |
12 |
if @missing_keys |
|
725
|
6 |
6 |
defined $data_hash_ref->{'results_write_to'} ? : |
|
755
|
0 |
12 |
unless open my $data_fh, '<:encoding(UTF-8)', $stimuli_validate |
|
768
|
36 |
54 |
if (_calculate_output($self, $data) >= $self->threshold) { } |
|
860
|
2 |
4 |
defined $info->{'more_stats'} ? : |
|
868
|
0 |
6 |
unless open my $data_fh, '<:encoding(UTF-8)', $file |
|
882
|
10 |
34 |
if ($row->{$actual_header} == 1 and $row->{$predicted_header} == 1) { } |
|
|
16 |
18 |
elsif ($row->{$actual_header} == 0 and $row->{$predicted_header} == 0) { } |
|
|
12 |
6 |
elsif ($row->{$actual_header} == 1 and $row->{$predicted_header} == 0) { } |
|
|
4 |
2 |
elsif ($row->{$actual_header} == 0 and $row->{$predicted_header} == 1) { } |
|
918
|
2 |
2 |
if ($more_stats == 1) |
|
1162
|
8 |
116 |
unless exists $labels->{$_} |
|
1165
|
6 |
56 |
if @missing_keys |
|
1233
|
38 |
18 |
if exists $c_matrix->{'precision'} |
|
1234
|
38 |
18 |
if exists $c_matrix->{'specificity'} |
|
1235
|
38 |
18 |
if exists $c_matrix->{'F1_Score'} |
|
1236
|
38 |
18 |
if exists $c_matrix->{'negative_predicted_value'} |
|
1237
|
38 |
18 |
if exists $c_matrix->{'false_negative_rate'} |
|
1238
|
38 |
18 |
if exists $c_matrix->{'false_positive_rate'} |
|
1239
|
38 |
18 |
if exists $c_matrix->{'false_discovery_rate'} |
|
1240
|
38 |
18 |
if exists $c_matrix->{'false_omission_rate'} |
|
1241
|
38 |
18 |
if exists $c_matrix->{'balanced_accuracy'} |