Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1313.9499, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1334.8007, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.081, root_relative_squared_error: 0.1631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 1125.5764, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1324.6691, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.9209, kappa: 0.8395, kb_relative_information_score: 1051.7626, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9225, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8281, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1360.8155, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1358.3942, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1291.295, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9353, kappa: 0.8696, kb_relative_information_score: 1080.4465, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9373, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1316.5612, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1365.8469, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0391, root_relative_squared_error: 0.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.87, kappa: 0.7364, kb_relative_information_score: 906.7397, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8702, predictive_accuracy: 0.8703, prior_entropy: 0.9912, recall: 0.8703, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8376, kappa: 0.6705, kb_relative_information_score: 862.5431, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1319.884, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9672, kappa: 0.9336, kb_relative_information_score: 944.7249, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9672, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: -0.0113, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8281, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1360.7036, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0484, root_relative_squared_error: 0.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9308, kappa: 0.8599, kb_relative_information_score: 1151.9272, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9308, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1360.3734, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1324.0237, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 861.5617, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1316.9983, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 861.5309, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9775, kappa: 0.9545, kb_relative_information_score: 1308.8553, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9785, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1331.1396, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8399, kappa: 0.675, kb_relative_information_score: 863.7419, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8403, predictive_accuracy: 0.8404, prior_entropy: 0.9912, recall: 0.8404, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1324.0237, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8778, kappa: 0.752, kb_relative_information_score: 1031.9901, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9072, kappa: 0.8118, kb_relative_information_score: 996.2141, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9076, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.5869, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.1685, scimark_benchmark: 1726.8211, usercpu_time_millis: 12.783, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 12.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1288.5416, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.083, root_relative_squared_error: 0.1671, scimark_benchmark: 1747.2603, usercpu_time_millis: 9.13, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 8.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1266.3901, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2357, scimark_benchmark: 1740.5574, usercpu_time_millis: 5.144, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 4.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9519, kappa: 0.9025, kb_relative_information_score: 1090.9105, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9912, recall: 0.9519, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4019, scimark_benchmark: 1746.737, usercpu_time_millis: 7.088, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 6.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1272.8561, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.1781, scimark_benchmark: 1882.6259, usercpu_time_millis: 6.175, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 5.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1298.9855, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1705, scimark_benchmark: 1745.7661, usercpu_time_millis: 6.048, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 5.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1035.0134, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3909, scimark_benchmark: 1739.2981, usercpu_time_millis: 5.11, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 4.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1322.1539, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1765, scimark_benchmark: 1743.5492, usercpu_time_millis: 9.605, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 9.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1216.824, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2648, scimark_benchmark: 1739.0322, usercpu_time_millis: 7.801, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 7.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9138, kappa: 0.8252, kb_relative_information_score: 934.8468, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5438, scimark_benchmark: 1881.2481, usercpu_time_millis: 3.544, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 3.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1251.7012, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.199, scimark_benchmark: 1744.9208, usercpu_time_millis: 5.072, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 4.563,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1265.4148, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2439, scimark_benchmark: 1751.6968, usercpu_time_millis: 8.439, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 8.025,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1088.8239, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.974, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3475, scimark_benchmark: 1744.3284, usercpu_time_millis: 5.755, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 5.153,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1523, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 741.8336, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 3.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1210.9876, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.2746, scimark_benchmark: 1756.1863, usercpu_time_millis: 9.017, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 8.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1245.7862, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2255, scimark_benchmark: 1772.9192, usercpu_time_millis: 5.037, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 4.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1061.8029, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9728, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3783, scimark_benchmark: 1745.133, usercpu_time_millis: 7.017, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 6.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9098, kappa: 0.8168, kb_relative_information_score: 673.9262, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9124, predictive_accuracy: 0.9104, prior_entropy: 0.9912, recall: 0.9104, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.631, scimark_benchmark: 742.5724, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1246.6667, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2375, scimark_benchmark: 1775.9595, usercpu_time_millis: 4.711, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1036.3465, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9734, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3879, scimark_benchmark: 739.8475, usercpu_time_millis: 1.982, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1120.6201, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3543, scimark_benchmark: 1755.4795, usercpu_time_millis: 6.321, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 5.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3966, kb_relative_information_score: -0.2402, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 741.8336, usercpu_time_millis: 0.725, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1249.6276, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2218, scimark_benchmark: 1741.2414, usercpu_time_millis: 4.159, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 3.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 1062.4856, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9741, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3664, scimark_benchmark: 1752.6238, usercpu_time_millis: 3.559, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9445, kappa: 0.8875, kb_relative_information_score: 906.2333, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 0.9912, recall: 0.9446, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.4886, scimark_benchmark: 1745.5953, usercpu_time_millis: 2.58, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 2.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1324.9363, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.1557, scimark_benchmark: 1745.5953, usercpu_time_millis: 2.526, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9504, kappa: 0.8995, kb_relative_information_score: 1088.2606, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9505, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029, scimark_benchmark: 1766.1749, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9636, kappa: 0.9263, kb_relative_information_score: 1095.9018, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.3839, scimark_benchmark: 1769.0244, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3966, kb_relative_information_score: 0.0841, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001, scimark_benchmark: 1740.8995, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 972.8283, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4396, scimark_benchmark: 1747.6591, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9105, kappa: 0.8183, kb_relative_information_score: 887.2958, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9129, predictive_accuracy: 0.9111, prior_entropy: 0.9912, recall: 0.9111, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5234, scimark_benchmark: 1740.8392, usercpu_time_millis: 2.291, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9307, kappa: 0.8597, kb_relative_information_score: 1081.2004, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4423, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.04, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 8.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1316.3323, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2298, scimark_benchmark: 1871.2001, usercpu_time_millis: 10.112, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 9.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1320.0496, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.1589, scimark_benchmark: 1756.5258, usercpu_time_millis: 8.86, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 8.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.7556, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.1853, scimark_benchmark: 1870.6721, usercpu_time_millis: 7.022, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 6.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1269.1828, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.1822, scimark_benchmark: 1870.2804, usercpu_time_millis: 7.592, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 6.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 1050.0623, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9713, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.3791, scimark_benchmark: 1740.6383, usercpu_time_millis: 6.623, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 5.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1200.1266, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.248, scimark_benchmark: 1745.0258, usercpu_time_millis: 5.689, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 5.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9371, kappa: 0.8724, kb_relative_information_score: 867.6569, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.938, predictive_accuracy: 0.9373, prior_entropy: 0.9912, recall: 0.9373, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5133, scimark_benchmark: 1865.1484, usercpu_time_millis: 3.533, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1202.4841, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.305, scimark_benchmark: 1862.932, usercpu_time_millis: 7.336, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 6.89,

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