diff options
Diffstat (limited to 'report/report_factory.rb')
-rwxr-xr-x | report/report_factory.rb | 38 |
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] |