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-rwxr-xr-xreport/report_factory.rb38
1 files changed, 22 insertions, 16 deletions
diff --git a/report/report_factory.rb b/report/report_factory.rb
index 340f276..e3e0f3c 100755
--- a/report/report_factory.rb
+++ b/report/report_factory.rb
@@ -5,19 +5,19 @@ VAL_ATTR_TRAIN_TEST = [ :model_uri, :training_dataset_uri, :test_dataset_uri, :p
VAL_ATTR_CV = [ :algorithm_uri, :dataset_uri, :num_folds, :crossvalidation_fold ]
# selected attributes of interest when performing classification
-VAL_ATTR_CLASS = [ :num_instances, :num_unpredicted, :accuracy, :weighted_accuracy, :weighted_area_under_roc,
+VAL_ATTR_CLASS = [ :num_instances, :num_unpredicted, :accuracy, :weighted_accuracy, :average_area_under_roc,
:area_under_roc, :f_measure, :true_positive_rate, :true_negative_rate ]
VAL_ATTR_REGR = [ :num_instances, :num_unpredicted, :root_mean_squared_error,
:weighted_root_mean_squared_error, :mean_absolute_error, :weighted_mean_absolute_error, :r_square, :weighted_r_square,
:sample_correlation_coefficient ]
-#VAL_ATTR_BAR_PLOT_CLASS = [ :accuracy, :weighted_area_under_roc,
+#VAL_ATTR_BAR_PLOT_CLASS = [ :accuracy, :average_area_under_roc,
# :area_under_roc, :f_measure, :true_positive_rate, :true_negative_rate ]
VAL_ATTR_BAR_PLOT_CLASS = [ :accuracy, :f_measure, :true_positive_rate, :true_negative_rate ]
VAL_ATTR_BAR_PLOT_REGR = [ :root_mean_squared_error, :mean_absolute_error, :r_square ]
VAL_ATTR_TTEST_REGR = [:r_square, :root_mean_squared_error]
-VAL_ATTR_TTEST_CLASS = [:percent_correct, :weighted_area_under_roc]
+VAL_ATTR_TTEST_CLASS = [:percent_correct, :average_area_under_roc]
# = Reports::ReportFactory
@@ -76,11 +76,14 @@ module Reports::ReportFactory
report.add_result(validation_set, [:validation_uri] + VAL_ATTR_TRAIN_TEST + VAL_ATTR_CLASS, "Results", "Results")
report.add_confusion_matrix(val)
report.add_section("Plots")
- ([nil] + validation_set.get_accept_values).each do |accept_value|
- report.add_roc_plot(validation_set, accept_value)
- report.add_confidence_plot(validation_set, accept_value)
- title = accept_value ? "Plots for predicted class-value '"+accept_value.to_s+"'" : "Plots for all predictions"
- report.align_last_two_images title
+ report.add_confidence_plot(validation_set)
+ if (validation_set.get_accept_values.size == 2)
+ if validation_set.get_true_accept_value!=nil
+ report.add_roc_plot(validation_set, validation_set.get_true_accept_value)
+ else
+ report.add_roc_plot(validation_set, validation_set.get_accept_values[0])
+ report.add_roc_plot(validation_set, validation_set.get_accept_values[1])
+ end
end
report.end_section
when "regression"
@@ -127,12 +130,15 @@ module Reports::ReportFactory
report.add_confusion_matrix(cv_set.validations[0])
report.add_section("Plots")
[nil, :crossvalidation_fold].each do |split_attribute|
- ([nil] + validation_set.get_accept_values).each do |accept_value|
- report.add_roc_plot(validation_set, accept_value, split_attribute)
- report.add_confidence_plot(validation_set, accept_value, split_attribute)
- title = accept_value ? "Plots for predicted class-value '"+accept_value.to_s+"'" : "Plots for all predictions"
- title += split_attribute ? ", separated by crossvalidation fold" : " (accumulated over all folds)"
- report.align_last_two_images title
+
+ report.add_confidence_plot(validation_set,nil,split_attribute)
+ if (validation_set.get_accept_values.size == 2)
+ if validation_set.get_true_accept_value!=nil
+ report.add_roc_plot(validation_set, validation_set.get_true_accept_value,split_attribute)
+ else
+ report.add_roc_plot(validation_set, validation_set.get_accept_values[0],split_attribute)
+ report.add_roc_plot(validation_set, validation_set.get_accept_values[1],split_attribute)
+ end
end
end
report.end_section
@@ -199,8 +205,8 @@ module Reports::ReportFactory
if (validation_set.num_different_values(:dataset_uri)>1)
all_merged = validation_set.merge([:algorithm_uri, :dataset_uri, :crossvalidation_id, :crossvalidation_uri])
report.add_ranking_plots(all_merged, :algorithm_uri, :dataset_uri,
- [:percent_correct, :weighted_area_under_roc, :true_positive_rate, :true_negative_rate] )
- report.add_result_overview(all_merged, :algorithm_uri, :dataset_uri, [:percent_correct, :weighted_area_under_roc, :true_positive_rate, :true_negative_rate])
+ [:percent_correct, :average_area_under_roc, :true_positive_rate, :true_negative_rate] )
+ report.add_result_overview(all_merged, :algorithm_uri, :dataset_uri, [:percent_correct, :average_area_under_roc, :true_positive_rate, :true_negative_rate])
end
result_attributes = [:identifier,:crossvalidation_uri,:crossvalidation_report_uri]+VAL_ATTR_CV-[:crossvalidation_fold,:num_folds,:dataset_uri]