Renames to ratio_variants_per_number_of_traces in code

config_files/algorithm/augmentation.json

@@ -4,7 +4,7 @@
     "augmentation_params":
     {
         "method":"SMOTE", "no_samples":20,
-        "feature_selection": ["n_traces", "n_unique_traces", "ratio_unique_traces_per_trace", "trace_len_min", "trace_len_max", "trace_len_mean", "trace_len_median", "trace_len_mode", "trace_len_std", "trace_len_variance", "trace_len_q1", "trace_len_q3", "trace_len_iqr", "trace_len_geometric_mean", "trace_len_geometric_std", "trace_len_harmonic_mean", "trace_len_skewness", "trace_len_kurtosis", "trace_len_coefficient_variation", "trace_len_entropy", "trace_len_hist1", "trace_len_hist2", "trace_len_hist3", "trace_len_hist4", "trace_len_hist5", "trace_len_hist6", "trace_len_hist7", "trace_len_hist8", "trace_len_hist9", "trace_len_hist10", "trace_len_skewness_hist", "trace_len_kurtosis_hist", "ratio_most_common_variant", "ratio_top_1_variants", "ratio_top_5_variants", "ratio_top_10_variants", "ratio_top_20_variants", "ratio_top_50_variants", "ratio_top_75_variants", "mean_variant_occurrence", "std_variant_occurrence", "skewness_variant_occurrence", "kurtosis_variant_occurrence", "n_unique_activities", "activities_min", "activities_max", "activities_mean", "activities_median", "activities_std", "activities_variance", "activities_q1", "activities_q3", "activities_iqr", "activities_skewness", "activities_kurtosis", "n_unique_start_activities", "start_activities_min", "start_activities_max", "start_activities_mean", "start_activities_median", "start_activities_std", "start_activities_variance", "start_activities_q1", "start_activities_q3", "start_activities_iqr", "start_activities_skewness", "start_activities_kurtosis", "n_unique_end_activities", "end_activities_min", "end_activities_max", "end_activities_mean", "end_activities_median", "end_activities_std", "end_activities_variance", "end_activities_q1", "end_activities_q3", "end_activities_iqr", "end_activities_skewness", "end_activities_kurtosis", "entropy_trace", "entropy_prefix", "entropy_global_block", "entropy_lempel_ziv", "entropy_k_block_diff_1", "entropy_k_block_diff_3", "entropy_k_block_diff_5", "entropy_k_block_ratio_1", "entropy_k_block_ratio_3", "entropy_k_block_ratio_5", "entropy_knn_3", "entropy_knn_5", "entropy_knn_7", "epa_variant_entropy", "epa_normalized_variant_entropy", "epa_sequence_entropy", "epa_normalized_sequence_entropy", "epa_sequence_entropy_linear_forgetting", "epa_normalized_sequence_entropy_linear_forgetting", "epa_sequence_entropy_exponential_forgetting", "epa_normalized_sequence_entropy_exponential_forgetting"]
+        "feature_selection": ["n_traces", "n_unique_traces", "ratio_variants_per_number_of_traces", "trace_len_min", "trace_len_max", "trace_len_mean", "trace_len_median", "trace_len_mode", "trace_len_std", "trace_len_variance", "trace_len_q1", "trace_len_q3", "trace_len_iqr", "trace_len_geometric_mean", "trace_len_geometric_std", "trace_len_harmonic_mean", "trace_len_skewness", "trace_len_kurtosis", "trace_len_coefficient_variation", "trace_len_entropy", "trace_len_hist1", "trace_len_hist2", "trace_len_hist3", "trace_len_hist4", "trace_len_hist5", "trace_len_hist6", "trace_len_hist7", "trace_len_hist8", "trace_len_hist9", "trace_len_hist10", "trace_len_skewness_hist", "trace_len_kurtosis_hist", "ratio_most_common_variant", "ratio_top_1_variants", "ratio_top_5_variants", "ratio_top_10_variants", "ratio_top_20_variants", "ratio_top_50_variants", "ratio_top_75_variants", "mean_variant_occurrence", "std_variant_occurrence", "skewness_variant_occurrence", "kurtosis_variant_occurrence", "n_unique_activities", "activities_min", "activities_max", "activities_mean", "activities_median", "activities_std", "activities_variance", "activities_q1", "activities_q3", "activities_iqr", "activities_skewness", "activities_kurtosis", "n_unique_start_activities", "start_activities_min", "start_activities_max", "start_activities_mean", "start_activities_median", "start_activities_std", "start_activities_variance", "start_activities_q1", "start_activities_q3", "start_activities_iqr", "start_activities_skewness", "start_activities_kurtosis", "n_unique_end_activities", "end_activities_min", "end_activities_max", "end_activities_mean", "end_activities_median", "end_activities_std", "end_activities_variance", "end_activities_q1", "end_activities_q3", "end_activities_iqr", "end_activities_skewness", "end_activities_kurtosis", "entropy_trace", "entropy_prefix", "entropy_global_block", "entropy_lempel_ziv", "entropy_k_block_diff_1", "entropy_k_block_diff_3", "entropy_k_block_diff_5", "entropy_k_block_ratio_1", "entropy_k_block_ratio_3", "entropy_k_block_ratio_5", "entropy_knn_3", "entropy_knn_5", "entropy_knn_7", "epa_variant_entropy", "epa_normalized_variant_entropy", "epa_sequence_entropy", "epa_normalized_sequence_entropy", "epa_sequence_entropy_linear_forgetting", "epa_normalized_sequence_entropy_linear_forgetting", "epa_sequence_entropy_exponential_forgetting", "epa_normalized_sequence_entropy_exponential_forgetting"]
     },
     "input_path": "data/bpic_features.csv",
     "output_path": "output"

data/bpic_features.csv

@@ -1,4 +1,4 @@
-log,n_traces,n_unique_traces,ratio_unique_traces_per_trace,trace_len_min,trace_len_max,trace_len_mean,trace_len_median,trace_len_mode,trace_len_std,trace_len_variance,trace_len_q1,trace_len_q3,trace_len_iqr,trace_len_geometric_mean,trace_len_geometric_std,trace_len_harmonic_mean,trace_len_skewness,trace_len_kurtosis,trace_len_coefficient_variation,trace_len_entropy,trace_len_hist1,trace_len_hist2,trace_len_hist3,trace_len_hist4,trace_len_hist5,trace_len_hist6,trace_len_hist7,trace_len_hist8,trace_len_hist9,trace_len_hist10,trace_len_skewness_hist,trace_len_kurtosis_hist,ratio_most_common_variant,ratio_top_1_variants,ratio_top_5_variants,ratio_top_10_variants,ratio_top_20_variants,ratio_top_50_variants,ratio_top_75_variants,mean_variant_occurrence,std_variant_occurrence,skewness_variant_occurrence,kurtosis_variant_occurrence,n_unique_activities,activities_min,activities_max,activities_mean,activities_median,activities_std,activities_variance,activities_q1,activities_q3,activities_iqr,activities_skewness,activities_kurtosis,n_unique_start_activities,start_activities_min,start_activities_max,start_activities_mean,start_activities_median,start_activities_std,start_activities_variance,start_activities_q1,start_activities_q3,start_activities_iqr,start_activities_skewness,start_activities_kurtosis,n_unique_end_activities,end_activities_min,end_activities_max,end_activities_mean,end_activities_median,end_activities_std,end_activities_variance,end_activities_q1,end_activities_q3,end_activities_iqr,end_activities_skewness,end_activities_kurtosis,entropy_trace,entropy_prefix,entropy_global_block,entropy_lempel_ziv,entropy_k_block_diff_1,entropy_k_block_diff_3,entropy_k_block_diff_5,entropy_k_block_ratio_1,entropy_k_block_ratio_3,entropy_k_block_ratio_5,entropy_knn_3,entropy_knn_5,entropy_knn_7,Log Nature,epa_variant_entropy,epa_normalized_variant_entropy,epa_sequence_entropy,epa_normalized_sequence_entropy,epa_sequence_entropy_linear_forgetting,epa_normalized_sequence_entropy_linear_forgetting,epa_sequence_entropy_exponential_forgetting,epa_normalized_sequence_entropy_exponential_forgetting,accumulated_time_time_min,accumulated_time_time_max,accumulated_time_time_mean,accumulated_time_time_median,accumulated_time_time_mode,accumulated_time_time_std,accumulated_time_time_variance,accumulated_time_time_q1,accumulated_time_time_q3,accumulated_time_time_iqr,accumulated_time_time_geometric_mean,accumulated_time_time_geometric_std,accumulated_time_time_harmonic_mean,accumulated_time_time_skewness,accumulated_time_time_kurtosis,accumulated_time_time_coefficient_variation,accumulated_time_time_entropy,accumulated_time_time_skewness_hist,accumulated_time_time_kurtosis_hist,execution_time_time_min,execution_time_time_max,execution_time_time_mean,execution_time_time_median,execution_time_time_mode,execution_time_time_std,execution_time_time_variance,execution_time_time_q1,execution_time_time_q3,execution_time_time_iqr,execution_time_time_geometric_mean,execution_time_time_geometric_std,execution_time_time_harmonic_mean,execution_time_time_skewness,execution_time_time_kurtosis,execution_time_time_coefficient_variation,execution_time_time_entropy,execution_time_time_skewness_hist,execution_time_time_kurtosis_hist,remaining_time_time_min,remaining_time_time_max,remaining_time_time_mean,remaining_time_time_median,remaining_time_time_mode,remaining_time_time_std,remaining_time_time_variance,remaining_time_time_q1,remaining_time_time_q3,remaining_time_time_iqr,remaining_time_time_geometric_mean,remaining_time_time_geometric_std,remaining_time_time_harmonic_mean,remaining_time_time_skewness,remaining_time_time_kurtosis,remaining_time_time_coefficient_variation,remaining_time_time_entropy,remaining_time_time_skewness_hist,remaining_time_time_kurtosis_hist,within_day_time_min,within_day_time_max,within_day_time_mean,within_day_time_median,within_day_time_mode,within_day_time_std,within_day_time_variance,within_day_time_q1,within_day_time_q3,within_day_time_iqr,within_day_time_geometric_mean,within_day_time_geometric_std,within_day_time_harmonic_mean,within_day_time_skewness,within_day_time_kurtosis,within_day_time_coefficient_variation,within_day_time_entropy,within_day_time_skewness_hist,within_day_time_kurtosis_hist
+log,n_traces,n_unique_traces,ratio_variants_per_number_of_traces,trace_len_min,trace_len_max,trace_len_mean,trace_len_median,trace_len_mode,trace_len_std,trace_len_variance,trace_len_q1,trace_len_q3,trace_len_iqr,trace_len_geometric_mean,trace_len_geometric_std,trace_len_harmonic_mean,trace_len_skewness,trace_len_kurtosis,trace_len_coefficient_variation,trace_len_entropy,trace_len_hist1,trace_len_hist2,trace_len_hist3,trace_len_hist4,trace_len_hist5,trace_len_hist6,trace_len_hist7,trace_len_hist8,trace_len_hist9,trace_len_hist10,trace_len_skewness_hist,trace_len_kurtosis_hist,ratio_most_common_variant,ratio_top_1_variants,ratio_top_5_variants,ratio_top_10_variants,ratio_top_20_variants,ratio_top_50_variants,ratio_top_75_variants,mean_variant_occurrence,std_variant_occurrence,skewness_variant_occurrence,kurtosis_variant_occurrence,n_unique_activities,activities_min,activities_max,activities_mean,activities_median,activities_std,activities_variance,activities_q1,activities_q3,activities_iqr,activities_skewness,activities_kurtosis,n_unique_start_activities,start_activities_min,start_activities_max,start_activities_mean,start_activities_median,start_activities_std,start_activities_variance,start_activities_q1,start_activities_q3,start_activities_iqr,start_activities_skewness,start_activities_kurtosis,n_unique_end_activities,end_activities_min,end_activities_max,end_activities_mean,end_activities_median,end_activities_std,end_activities_variance,end_activities_q1,end_activities_q3,end_activities_iqr,end_activities_skewness,end_activities_kurtosis,entropy_trace,entropy_prefix,entropy_global_block,entropy_lempel_ziv,entropy_k_block_diff_1,entropy_k_block_diff_3,entropy_k_block_diff_5,entropy_k_block_ratio_1,entropy_k_block_ratio_3,entropy_k_block_ratio_5,entropy_knn_3,entropy_knn_5,entropy_knn_7,Log Nature,epa_variant_entropy,epa_normalized_variant_entropy,epa_sequence_entropy,epa_normalized_sequence_entropy,epa_sequence_entropy_linear_forgetting,epa_normalized_sequence_entropy_linear_forgetting,epa_sequence_entropy_exponential_forgetting,epa_normalized_sequence_entropy_exponential_forgetting,accumulated_time_time_min,accumulated_time_time_max,accumulated_time_time_mean,accumulated_time_time_median,accumulated_time_time_mode,accumulated_time_time_std,accumulated_time_time_variance,accumulated_time_time_q1,accumulated_time_time_q3,accumulated_time_time_iqr,accumulated_time_time_geometric_mean,accumulated_time_time_geometric_std,accumulated_time_time_harmonic_mean,accumulated_time_time_skewness,accumulated_time_time_kurtosis,accumulated_time_time_coefficient_variation,accumulated_time_time_entropy,accumulated_time_time_skewness_hist,accumulated_time_time_kurtosis_hist,execution_time_time_min,execution_time_time_max,execution_time_time_mean,execution_time_time_median,execution_time_time_mode,execution_time_time_std,execution_time_time_variance,execution_time_time_q1,execution_time_time_q3,execution_time_time_iqr,execution_time_time_geometric_mean,execution_time_time_geometric_std,execution_time_time_harmonic_mean,execution_time_time_skewness,execution_time_time_kurtosis,execution_time_time_coefficient_variation,execution_time_time_entropy,execution_time_time_skewness_hist,execution_time_time_kurtosis_hist,remaining_time_time_min,remaining_time_time_max,remaining_time_time_mean,remaining_time_time_median,remaining_time_time_mode,remaining_time_time_std,remaining_time_time_variance,remaining_time_time_q1,remaining_time_time_q3,remaining_time_time_iqr,remaining_time_time_geometric_mean,remaining_time_time_geometric_std,remaining_time_time_harmonic_mean,remaining_time_time_skewness,remaining_time_time_kurtosis,remaining_time_time_coefficient_variation,remaining_time_time_entropy,remaining_time_time_skewness_hist,remaining_time_time_kurtosis_hist,within_day_time_min,within_day_time_max,within_day_time_mean,within_day_time_median,within_day_time_mode,within_day_time_std,within_day_time_variance,within_day_time_q1,within_day_time_q3,within_day_time_iqr,within_day_time_geometric_mean,within_day_time_geometric_std,within_day_time_harmonic_mean,within_day_time_skewness,within_day_time_kurtosis,within_day_time_coefficient_variation,within_day_time_entropy,within_day_time_skewness_hist,within_day_time_kurtosis_hist
 BPIC15_2,832,828,0.9951923076923076,1,132,53.31009615384615,54.0,61,19.89497651105348,395.8100903753698,44.0,62.0,18.0,48.15011097917017,1.6953108255055442,37.583741492631816,0.0541383907866727,0.8049916722455452,0.3731934088739797,6.6467154289258925,0.0038534938344098,0.0048627422196124,0.0046792425132119,0.0239467116852613,0.0237632119788608,0.0082574867880211,0.0047709923664122,0.0013762477980035,0.0006422489724016,0.0001834997064004,0.0541383907866727,0.8049916722455452,0.0024038461538461,0.0144230769230769,0.0540865384615384,0.1033653846153846,0.203125,0.5024038461538461,0.7512019230769231,1.0048309178743962,0.0693367154319194,14.283026792978164,202.00485436893203,410,1,830,108.18048780487806,12.0,187.5881623228515,35189.31864366448,3.0,125.5,122.5,2.1294119001489484,3.808278466770415,14,1,731,59.42857142857143,1.0,186.71740078284623,34863.387755102034,1.0,8.25,7.25,3.300411469802443,8.960767075527839,82,1,216,10.146341463414634,1.0,35.31879964786925,1247.4176085663291,1.0,3.0,2.0,5.098791193232185,25.861991394282988,9.691,14.524,19.448,3.859,7.105,7.105,7.105,7.105,7.105,7.105,5.545,5.039,4.721,Real,240512.2242485009,0.6279728735030676,285876.9226982823,0.6023712370019746,150546.57168151825,0.3172166670686898,185312.93742252485,0.3904728730604407,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 BPI_Challenge_2018,43809,28457,0.6495697231162546,24,2973,57.39154055102833,49.0,49,34.87213051501663,1216.065486656354,44.0,59.0,15.0,53.775007740790905,1.3673968195217023,51.6515023255421,26.12645867504185,1720.3996647748236,0.6076179551934296,10.59875768208314,0.0033846328873849,5.263453617722996e-06,9.28844756068764e-07,0.0,0.0,0.0,0.0,0.0,7.740372967239698e-08,7.740372967239698e-08,26.12645867504185,1720.3996647748236,0.0269807573786208,0.2903741240384396,0.3730055468054509,0.4153712707434545,0.4803350909630441,0.6752037252619325,0.837590449451026,1.53948061988263,12.487438103768865,64.62568045475237,5083.4558063165005,41,17,466141,61323.56097560976,7530.0,120522.24741658216,14525612122.343842,902.0,45907.0,45005.0,2.444006846537922,4.7732537682944125,4,2,38623,10952.25,2592.0,16111.407548302535,259577453.1875,36.5,13507.75,13471.25,1.098736017040351,-0.714799753613248,21,1,34830,2086.1428571428573,13.0,7431.744980540056,55230833.45578231,2.0,193.0,191.0,4.062386890920656,14.95282428002514,13.191,16.272,20.972,1.023,-0.01,1.855,0.511,1.403,3.572,2.001,7.849,7.371,7.067,Real,11563842.153239768,0.7120788464629594,21146257.119093828,0.5706879719331716,14140225.903138256,0.3816115919659581,15576076.832943872,0.4203618469408319,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 Receipt_WABO_CoSeLoG,1434,116,0.0808926080892608,1,25,5.981171548117155,6.0,6,2.166128830112964,4.692114108646557,6.0,6.0,0.0,5.414708441482159,1.7049649652198722,4.356444755372117,1.276525010246869,12.296005610487518,0.3621579506100023,7.197192878385,0.0360297536029753,0.008135750813575,0.341120409112041,0.0235355648535564,0.0037773128777312,0.0017433751743375,0.0002905625290562,0.0014528126452812,0.0,0.0005811250581125,1.276525010246869,12.296005610487518,0.4972105997210599,0.4972105997210599,0.796373779637378,0.8870292887029289,0.9302649930264992,0.9595536959553695,0.9797768479776848,12.362068965517242,68.36027740401485,9.380686726353323,92.2819193173858,27,1,1434,317.6666666666667,27.0,553.3898230870318,306240.2962962963,8.0,50.0,42.0,1.342950616318748,-0.1780942423969453,1,1434,1434,1434.0,1434.0,0.0,0.0,1434.0,1434.0,0.0,,,14,1,828,102.42857142857144,6.0,225.87155461384123,51017.95918367348,1.25,33.25,32.0,2.471765166310402,4.8465409223704325,3.209,4.746,7.019,0.385,2.672,2.966,0.804,1.484,2.966,2.966,3.26,2.845,2.584,Real,2382.325855313024,0.6893625408247437,18296.27229411094,0.235532333261429,7814.867608807029,0.1006026786464005,10728.696951225804,0.1381131076951861,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,

data/grid_1obj/grid_1objectives_rutpt.csv

@@ -1,4 +1,4 @@
-task,ratio_unique_traces_per_trace
+task,ratio_variants_per_number_of_traces
 task_1,0.0
 task_2,0.1
 task_3,0.2

data/grid_2obj/grid_2objectives_ense_rutpt.csv

@@ -1,4 +1,4 @@
-task,epa_normalized_sequence_entropy,ratio_unique_traces_per_trace
+task,epa_normalized_sequence_entropy,ratio_variants_per_number_of_traces
 task_1,0.0,0.0
 task_2,0.0,0.1
 task_3,0.0,0.2

data/grid_2obj/grid_2objectives_enseef_rutpt.csv

@@ -1,4 +1,4 @@
-task,epa_normalized_sequence_entropy_exponential_forgetting,ratio_unique_traces_per_trace
+task,epa_normalized_sequence_entropy_exponential_forgetting,ratio_variants_per_number_of_traces
 task_1,0.0,0.0
 task_2,0.0,0.1
 task_3,0.0,0.2

data/grid_2obj/grid_2objectives_enself_rutpt.csv

@@ -1,4 +1,4 @@
-task,epa_normalized_sequence_entropy_linear_forgetting,ratio_unique_traces_per_trace
+task,epa_normalized_sequence_entropy_linear_forgetting,ratio_variants_per_number_of_traces
 task_1,0.0,0.0
 task_2,0.0,0.1
 task_3,0.0,0.2

data/grid_2obj/grid_2objectives_enve_rutpt.csv

@@ -1,4 +1,4 @@
-task,epa_normalized_variant_entropy,ratio_unique_traces_per_trace
+task,epa_normalized_variant_entropy,ratio_variants_per_number_of_traces
 task_1,0.0,0.0
 task_2,0.0,0.1
 task_3,0.0,0.2

data/grid_2obj/grid_2objectives_rmcv_rutpt.csv

@@ -1,4 +1,4 @@
-task,ratio_most_common_variant,ratio_unique_traces_per_trace
+task,ratio_most_common_variant,ratio_variants_per_number_of_traces
 task_1,0.0,0.0
 task_2,0.0,0.1
 task_3,0.0,0.2

data/grid_2obj/grid_2objectives_rt10v_rutpt.csv

@@ -1,4 +1,4 @@
-task,ratio_top_10_variants,ratio_unique_traces_per_trace
+task,ratio_top_10_variants,ratio_variants_per_number_of_traces
 task_1,0.0,0.0
 task_2,0.0,0.1
 task_3,0.0,0.2

gedi/plotter.py

@@ -985,10 +985,10 @@ class GenerationPlotter(object):
             print(e)
         ratio_most_common_variant = 2.021278 / 11.0
         ratio_top_10_variants = 0.07378 / 11.0
-        ratio_unique_traces_per_trace = 0.016658 / 11.0
+        ratio_variants_per_number_of_traces = 0.016658 / 11.0
         result_df['ratio_most_common_variant']['ratio_most_common_variant'] = ratio_most_common_variant
         result_df['ratio_top_10_variants']['ratio_top_10_variants'] = ratio_top_10_variants
-        result_df['ratio_unique_traces_per_trace']['ratio_unique_traces_per_trace'] = ratio_unique_traces_per_trace
+        result_df['ratio_variants_per_number_of_traces']['ratio_variants_per_number_of_traces'] = ratio_variants_per_number_of_traces
 
         abbrvs_key = get_keys_abbreviation(keys)
         result_df.columns = abbrvs_key.split("_")