OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1320.6858, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1355.2723, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1314.8641, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1325.4311, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1326.0464, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1325.6941, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8543, kappa: 0.7086, kb_relative_information_score: 393.118, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8543, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5561, scimark_benchmark: 1300.1656, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1328.4294, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.1664, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1312.0362, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1319.6625, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1296.0952, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1319.3352, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1324.044, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1294.901, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1297.5918, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1339.2184, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 412.2424, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3961, scimark_benchmark: 1291.1441, usercpu_time_millis: 3.097, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.8796, kappa: 0.7626, kb_relative_information_score: 166.002, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9041, predictive_accuracy: 0.8813, prior_entropy: 1, recall: 0.8813, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7796, scimark_benchmark: 1297.781, usercpu_time_millis: 7.828, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 6.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9277, kappa: 0.8561, kb_relative_information_score: 290.1696, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9371, predictive_accuracy: 0.9281, prior_entropy: 1, recall: 0.9281, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6163, scimark_benchmark: 1293.839, usercpu_time_millis: 9.82, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 8.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 479.4915, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.2541, scimark_benchmark: 1313.098, usercpu_time_millis: 8.697, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 7.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8964, kappa: 0.795, kb_relative_information_score: 172.1035, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9149, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7705, scimark_benchmark: 1317.7169, usercpu_time_millis: 9.968, usercpu_time_millis_testing: 1.315, usercpu_time_millis_training: 8.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9185, kappa: 0.8381, kb_relative_information_score: 315.3916, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9303, predictive_accuracy: 0.9191, prior_entropy: 1, recall: 0.9191, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 1320.2613, usercpu_time_millis: 11.6, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 10.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 406.0057, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4047, scimark_benchmark: 1313.822, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9204, kappa: 0.8417, kb_relative_information_score: 254.8595, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9317, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6602, scimark_benchmark: 1278.019, usercpu_time_millis: 11.195, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 9.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8683, kappa: 0.741, kb_relative_information_score: 164.782, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8971, predictive_accuracy: 0.8705, prior_entropy: 1, recall: 0.8705, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7813, scimark_benchmark: 1289.8449, usercpu_time_millis: 3.872, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 3.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 338.6675, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.976, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5317, scimark_benchmark: 1307.9407, usercpu_time_millis: 6.242, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 5.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 406.7421, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4054, scimark_benchmark: 1301.0332, usercpu_time_millis: 3.226, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 2.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 549.1804, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0189, root_relative_squared_error: 0.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 413.3374, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.197, root_relative_squared_error: 0.394, scimark_benchmark: 1343.8392, usercpu_time_millis: 12.895, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 11.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1314.1163, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1316.0654, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1292.7846, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1323.4744, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.054,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1310.7033, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1328.0691, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1326.4453, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.9617, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1321.7995, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1309.56, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1302.9896, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1307.1056, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1307.9711, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1315.0644, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1301.4422, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1311.9421, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1333.7517, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1318.5832, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1310.2779, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1326.3832, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0483, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9838, kappa: 0.9676, kb_relative_information_score: 362.8628, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9843, predictive_accuracy: 0.9838, prior_entropy: 1, recall: 0.9838, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4917, scimark_benchmark: 1318.5286, usercpu_time_millis: 1.455, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.8758, kappa: 0.7554, kb_relative_information_score: 280.4611, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9017, predictive_accuracy: 0.8777, prior_entropy: 1, recall: 0.8777, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6543, scimark_benchmark: 1316.1589, usercpu_time_millis: 0.975, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 404.3974, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4054, scimark_benchmark: 1285.0573, usercpu_time_millis: 4.827, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9057, kappa: 0.813, kb_relative_information_score: 280.3056, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9212, predictive_accuracy: 0.9065, prior_entropy: 1, recall: 0.9065, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.633, scimark_benchmark: 1313.9836, usercpu_time_millis: 4.741, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 4.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 397.6346, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.209, root_relative_squared_error: 0.418, scimark_benchmark: 1314.0236, usercpu_time_millis: 6.298, usercpu_time_millis_testing: 0.699, usercpu_time_millis_training: 5.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 401.1821, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4146, scimark_benchmark: 1278.5693, usercpu_time_millis: 11.052, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 9.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 334.1701, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.986, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5258, scimark_benchmark: 1288.8485, usercpu_time_millis: 12.311, usercpu_time_millis_testing: 1.611, usercpu_time_millis_training: 10.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 422.0872, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3765, scimark_benchmark: 1312.9292, usercpu_time_millis: 15.975, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 14.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 463.8552, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3039, scimark_benchmark: 1316.097, usercpu_time_millis: 18.041, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 16.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 421.0289, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9876, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4009, scimark_benchmark: 1282.9662, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.348,

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