Task
Supervised Classification on analcatdata_lawsuit

Supervised Classification on analcatdata_lawsuit

Task 4247 Supervised Classification analcatdata_lawsuit 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2155.5078, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4118, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9886, kappa: 0.9137, kb_relative_information_score: 1782.2721, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4348, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9819, kappa: 0.8658, kb_relative_information_score: 1966.3202, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9821, predictive_accuracy: 0.9818, prior_entropy: 0.385, recall: 0.9818, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.477, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 1989.147, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4236, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9809, kappa: 0.8591, kb_relative_information_score: 1652.976, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.385, recall: 0.9807, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5073, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9629, kappa: 0.6986, kb_relative_information_score: 1244.4035, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9648, predictive_accuracy: 0.9663, prior_entropy: 0.385, recall: 0.9663, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.5544, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9833, kappa: 0.8752, kb_relative_information_score: 1850.0945, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.385, recall: 0.9833, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4622, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.9332, kappa: 0.4179, kb_relative_information_score: 1131.5111, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9417, predictive_accuracy: 0.9458, prior_entropy: 0.385, recall: 0.9458, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9005, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 1989.147, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4236, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.983, kappa: 0.8727, kb_relative_information_score: 1905.347, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.385, recall: 0.983, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4568, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2155.5078, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4118, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9886, kappa: 0.9137, kb_relative_information_score: 1782.2721, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9885, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4348, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9819, kappa: 0.8658, kb_relative_information_score: 1966.3202, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9821, predictive_accuracy: 0.9818, prior_entropy: 0.385, recall: 0.9818, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.477, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.9332, kappa: 0.4179, kb_relative_information_score: 1131.5111, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9417, predictive_accuracy: 0.9458, prior_entropy: 0.385, recall: 0.9458, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9005, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.9332, kappa: 0.4179, kb_relative_information_score: 1131.5111, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9417, predictive_accuracy: 0.9458, prior_entropy: 0.385, recall: 0.9458, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9005, scimark_benchmark: 906.0979, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9809, kappa: 0.8591, kb_relative_information_score: 1652.976, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.385, recall: 0.9807, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5073, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.983, kappa: 0.8727, kb_relative_information_score: 1905.347, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.385, recall: 0.983, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4568, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9837, kappa: 0.8778, kb_relative_information_score: 1776.4517, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 0.385, recall: 0.9837, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.4638, scimark_benchmark: 870.2101, usercpu_time_millis: 1300, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9837, kappa: 0.8778, kb_relative_information_score: 1780.5413, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 0.385, recall: 0.9837, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.46, scimark_benchmark: 933.4823, usercpu_time_millis: 250, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9817, kappa: 0.8626, kb_relative_information_score: 1768.8295, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.385, recall: 0.9818, relative_absolute_error: 0.2539, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4642, scimark_benchmark: 939.7241, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9817, kappa: 0.8626, kb_relative_information_score: 1775.715, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.385, recall: 0.9818, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.121, root_relative_squared_error: 0.468, scimark_benchmark: 938.3401, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9801, kappa: 0.8496, kb_relative_information_score: 1752.3622, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.98, predictive_accuracy: 0.9803, prior_entropy: 0.385, recall: 0.9803, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.4732, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9871, kappa: 0.9031, kb_relative_information_score: 2179.0857, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.385, recall: 0.9871, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4318, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9871, kappa: 0.9031, kb_relative_information_score: 2179.0602, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.385, recall: 0.9871, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4318, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9871, kappa: 0.9031, kb_relative_information_score: 2182.8701, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.385, recall: 0.9871, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.4302, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9867, kappa: 0.9005, kb_relative_information_score: 2154.4591, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.385, recall: 0.9867, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.4258, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9856, kappa: 0.8928, kb_relative_information_score: 2132.1394, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.385, recall: 0.9856, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.4388, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.8934, kb_relative_information_score: -51.3147, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.8612, predictive_accuracy: 0.928, prior_entropy: 0.385, recall: 0.928, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.0002, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9865, kappa: 0.9003, kb_relative_information_score: 2194.805, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9868, predictive_accuracy: 0.9864, prior_entropy: 0.385, recall: 0.9864, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.4466, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 2077.8412, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.5122, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.9332, kappa: 0.4179, kb_relative_information_score: 1131.5111, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9417, predictive_accuracy: 0.9458, prior_entropy: 0.385, recall: 0.9458, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9005, scimark_benchmark: 1334.863, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 1345.6844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9809, kappa: 0.8591, kb_relative_information_score: 1652.976, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9813, predictive_accuracy: 0.9807, prior_entropy: 0.385, recall: 0.9807, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5073, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9833, kappa: 0.8752, kb_relative_information_score: 1850.0945, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.385, recall: 0.9833, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4622, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.983, kappa: 0.8727, kb_relative_information_score: 1905.347, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.385, recall: 0.983, relative_absolute_error: 0.1949, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.4568, scimark_benchmark: 1330.9181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9819, kappa: 0.8658, kb_relative_information_score: 1966.3202, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9821, predictive_accuracy: 0.9818, prior_entropy: 0.385, recall: 0.9818, relative_absolute_error: 0.1893, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.477, scimark_benchmark: 1321.8132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9827, kappa: 0.8708, kb_relative_information_score: 1652.1546, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9828, predictive_accuracy: 0.9826, prior_entropy: 0.385, recall: 0.9826, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.5017, scimark_benchmark: 1324.5762, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.9332, kappa: 0.4179, kb_relative_information_score: 1131.5111, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9417, predictive_accuracy: 0.9458, prior_entropy: 0.385, recall: 0.9458, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9005, scimark_benchmark: 1332.1612, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 1330.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9629, kappa: 0.6986, kb_relative_information_score: 1244.4035, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9648, predictive_accuracy: 0.9663, prior_entropy: 0.385, recall: 0.9663, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.5544, scimark_benchmark: 1278.9821, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2155.5078, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.4118, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2025.4032, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4213, scimark_benchmark: 1324.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 2038.3105, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.4308, scimark_benchmark: 1363.1824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.9332, kappa: 0.4179, kb_relative_information_score: 1131.5111, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9417, predictive_accuracy: 0.9458, prior_entropy: 0.385, recall: 0.9458, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.9005, scimark_benchmark: 1341.3551, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9833, kappa: 0.8752, kb_relative_information_score: 1850.0945, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.385, recall: 0.9833, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4622, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9888, kappa: 0.9169, kb_relative_information_score: 1989.147, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.989, predictive_accuracy: 0.9886, prior_entropy: 0.385, recall: 0.9886, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4236, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9833, kappa: 0.8752, kb_relative_information_score: 1850.0945, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1363, number_of_instances: 2640, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.385, recall: 0.9833, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.4622, scimark_benchmark: 1344.4042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs