OpenML
Supervised Classification on oh15.wc

Supervised Classification on oh15.wc

Task 4226 Supervised Classification oh15.wc 94 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7981, kappa: 0.7705, kb_relative_information_score: 6945.8595, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8003, predictive_accuracy: 0.7977, prior_entropy: 3.2121, recall: 0.7977, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6188, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.7615, kappa: 0.7295, kb_relative_information_score: 6563.2238, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7659, predictive_accuracy: 0.7617, prior_entropy: 3.2121, recall: 0.7617, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6397, scimark_benchmark: 939.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.7615, kappa: 0.7295, kb_relative_information_score: 6563.2238, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7659, predictive_accuracy: 0.7617, prior_entropy: 3.2121, recall: 0.7617, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6397, scimark_benchmark: 730.6551, usercpu_time_millis: 122133430, usercpu_time_millis_testing: 38470, usercpu_time_millis_training: 122094960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6878, kappa: 0.6307, kb_relative_information_score: 5384.7726, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7751, predictive_accuracy: 0.6805, prior_entropy: 3.2121, recall: 0.6805, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6833, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8412, kappa: 0.8199, kb_relative_information_score: 6902.4336, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8443, predictive_accuracy: 0.8414, prior_entropy: 3.2121, recall: 0.8414, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.5389, scimark_benchmark: 927.7147, usercpu_time_millis: 648980, usercpu_time_millis_testing: 232070, usercpu_time_millis_training: 416910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7981, kappa: 0.7705, kb_relative_information_score: 6945.8595, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8003, predictive_accuracy: 0.7977, prior_entropy: 3.2121, recall: 0.7977, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6188, scimark_benchmark: 942.2392, usercpu_time_millis: 7010, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6878, kappa: 0.6307, kb_relative_information_score: 5384.7726, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7751, predictive_accuracy: 0.6805, prior_entropy: 3.2121, recall: 0.6805, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6833, scimark_benchmark: 944.0133, usercpu_time_millis: 120110, usercpu_time_millis_training: 120110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8293, kappa: 0.8064, kb_relative_information_score: 6866.0024, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8324, predictive_accuracy: 0.8295, prior_entropy: 3.2121, recall: 0.8295, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5551, scimark_benchmark: 935.6052, usercpu_time_millis: 337070, usercpu_time_millis_testing: 119760, usercpu_time_millis_training: 217310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.0505, kb_relative_information_score: 7.8848, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 938.3115, usercpu_time_millis: 1330, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 941.9549, usercpu_time_millis: 1400, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 941.9549, usercpu_time_millis: 1410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 929.0296, usercpu_time_millis: 1310, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 940.0055, usercpu_time_millis: 1280, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7941, kappa: 0.7664, kb_relative_information_score: 6431.2676, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8025, predictive_accuracy: 0.7947, prior_entropy: 3.2121, recall: 0.7947, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.605, scimark_benchmark: 935.6052, usercpu_time_millis: 3024150, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 3023500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0505, kb_relative_information_score: 865.7207, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.369, scimark_benchmark: 922.8232, usercpu_time_millis: 270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.7985, kappa: 0.7707, kb_relative_information_score: 6450.9915, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8092, predictive_accuracy: 0.7987, prior_entropy: 3.2121, recall: 0.7987, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5893, scimark_benchmark: 936.1714, usercpu_time_millis: 286580, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 286390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.2761, kappa: 0.2672, kb_relative_information_score: 1368.5275, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.4453, predictive_accuracy: 0.3886, prior_entropy: 3.2121, recall: 0.3886, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9396, scimark_benchmark: 933.0918, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7981, kappa: 0.7705, kb_relative_information_score: 6945.8595, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8003, predictive_accuracy: 0.7977, prior_entropy: 3.2121, recall: 0.7977, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6188, scimark_benchmark: 923.509, usercpu_time_millis: 6510, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 6310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6878, kappa: 0.6307, kb_relative_information_score: 5384.7726, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7751, predictive_accuracy: 0.6805, prior_entropy: 3.2121, recall: 0.6805, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6833, scimark_benchmark: 926.6412, usercpu_time_millis: 112470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 112460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.1719, kappa: 0.1451, kb_relative_information_score: 897.7477, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.1859, predictive_accuracy: 0.2858, prior_entropy: 3.2121, recall: 0.2858, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.289, root_relative_squared_error: 0.9721, scimark_benchmark: 910.6607, usercpu_time_millis: 3493700, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 3493460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7981, kappa: 0.7705, kb_relative_information_score: 6945.8595, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8003, predictive_accuracy: 0.7977, prior_entropy: 3.2121, recall: 0.7977, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6188, scimark_benchmark: 933.4598, usercpu_time_millis: 7490, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 7290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.6878, kappa: 0.6307, kb_relative_information_score: 5384.7726, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7751, predictive_accuracy: 0.6805, prior_entropy: 3.2121, recall: 0.6805, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6833, scimark_benchmark: 1320.8283, usercpu_time_millis: 79470, usercpu_time_millis_training: 79470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7981, kappa: 0.7705, kb_relative_information_score: 6945.8595, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8003, predictive_accuracy: 0.7977, prior_entropy: 3.2121, recall: 0.7977, relative_absolute_error: 0.2878, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6188, scimark_benchmark: 933.1165, usercpu_time_millis: 6790, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.1837, kappa: 0.1316, kb_relative_information_score: 1255.2768, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2469, predictive_accuracy: 0.278, prior_entropy: 3.2121, recall: 0.278, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.941, scimark_benchmark: 926.6704, usercpu_time_millis: 1303300, usercpu_time_millis_testing: 1303300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8436, kappa: 0.824, kb_relative_information_score: 7557.9051, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8442, predictive_accuracy: 0.8449, prior_entropy: 3.2121, recall: 0.8449, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5925, scimark_benchmark: 1301.1661, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8544, kappa: 0.8347, kb_relative_information_score: 7682.2943, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8591, predictive_accuracy: 0.8545, prior_entropy: 3.2121, recall: 0.8545, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5054, scimark_benchmark: 1350.073, usercpu_time_millis: 1246590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1246580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.7999, kappa: 0.7745, kb_relative_information_score: 5528.0897, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8229, predictive_accuracy: 0.8028, prior_entropy: 3.2121, recall: 0.8028, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6585, scimark_benchmark: 1309.4998, usercpu_time_millis: 325140, usercpu_time_millis_testing: 7620, usercpu_time_millis_training: 317520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8578, kappa: 0.8387, kb_relative_information_score: 7728.1542, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.862, predictive_accuracy: 0.8581, prior_entropy: 3.2121, recall: 0.8581, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.5194, scimark_benchmark: 1363.434, usercpu_time_millis: 2697020, usercpu_time_millis_training: 2697020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.83, kappa: 0.8068, kb_relative_information_score: 7105.3446, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8342, predictive_accuracy: 0.8299, prior_entropy: 3.2121, recall: 0.8299, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5241, scimark_benchmark: 1314.9535, usercpu_time_millis: 169110, usercpu_time_millis_training: 169110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 854.5188, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8114, kappa: 0.7865, kb_relative_information_score: 7116.0992, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.814, predictive_accuracy: 0.8122, prior_entropy: 3.2121, recall: 0.8122, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.5726, scimark_benchmark: 1339.8573, usercpu_time_millis: 258350, usercpu_time_millis_testing: 15750, usercpu_time_millis_training: 242600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.5497, kappa: 0.4911, kb_relative_information_score: 4628.2005, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.5498, predictive_accuracy: 0.5514, prior_entropy: 3.2121, recall: 0.5514, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9714, scimark_benchmark: 1354.8751, usercpu_time_millis: 1538150, usercpu_time_millis_testing: 175190, usercpu_time_millis_training: 1362960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7469, kappa: 0.7114, kb_relative_information_score: 6484.8836, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.756, predictive_accuracy: 0.7461, prior_entropy: 3.2121, recall: 0.7461, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.6945, scimark_benchmark: 932.0242, usercpu_time_millis: 82000, usercpu_time_millis_training: 82000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.5497, kappa: 0.4911, kb_relative_information_score: 4628.2005, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.5498, predictive_accuracy: 0.5514, prior_entropy: 3.2121, recall: 0.5514, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9714, scimark_benchmark: 1321.1875, usercpu_time_millis: 1616950, usercpu_time_millis_testing: 180860, usercpu_time_millis_training: 1436090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8324, kappa: 0.81, kb_relative_information_score: 7522.9265, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.836, predictive_accuracy: 0.8323, prior_entropy: 3.2121, recall: 0.8323, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.5423, scimark_benchmark: 1322.4968, usercpu_time_millis: 4840, usercpu_time_millis_testing: 2990, usercpu_time_millis_training: 1850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7988, kappa: 0.7735, kb_relative_information_score: 5532.0365, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8222, predictive_accuracy: 0.802, prior_entropy: 3.2121, recall: 0.802, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6578, scimark_benchmark: 885.7425, usercpu_time_millis: 696220, usercpu_time_millis_testing: 12110, usercpu_time_millis_training: 684110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 1372.2145, usercpu_time_millis: 1240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 939.5205, usercpu_time_millis: 1390, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 1318.1432, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 935.5075, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.1784, kappa: 0.1276, kb_relative_information_score: 1120.1793, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.2653, predictive_accuracy: 0.275, prior_entropy: 3.2121, recall: 0.275, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.282, root_relative_squared_error: 0.9488, scimark_benchmark: 825.5282, usercpu_time_millis: 1210, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.1913, kappa: 0.122, kb_relative_information_score: 1830.1355, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.5136, predictive_accuracy: 0.2552, prior_entropy: 3.2121, recall: 0.2552, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.0205, scimark_benchmark: 1318.1432, usercpu_time_millis: 2750, usercpu_time_millis_testing: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.1905, kappa: 0.1108, kb_relative_information_score: 2079.1108, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.4803, predictive_accuracy: 0.2142, prior_entropy: 3.2121, recall: 0.2142, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3091, root_relative_squared_error: 1.0399, scimark_benchmark: 1318.1432, usercpu_time_millis: 2450, usercpu_time_millis_testing: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.2883, kappa: 0.277, kb_relative_information_score: 882.2645, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.5255, predictive_accuracy: 0.3959, prior_entropy: 3.2121, recall: 0.3959, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9841, scimark_benchmark: 939.449, usercpu_time_millis: 11540, usercpu_time_millis_testing: 10140, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.7421, kappa: 0.7092, kb_relative_information_score: 2208.4965, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.749, predictive_accuracy: 0.7449, prior_entropy: 3.2121, recall: 0.7449, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9311, scimark_benchmark: 825.5282, usercpu_time_millis: 1710, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8252, kappa: 0.8018, kb_relative_information_score: 7271.5759, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8286, predictive_accuracy: 0.8256, prior_entropy: 3.2121, recall: 0.8256, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5498, scimark_benchmark: 887.6719, usercpu_time_millis: 187410, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 186340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8436, kappa: 0.824, kb_relative_information_score: 7557.9051, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8442, predictive_accuracy: 0.8449, prior_entropy: 3.2121, recall: 0.8449, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5925, scimark_benchmark: 939.449, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7244, kappa: 0.6938, kb_relative_information_score: 4152.9724, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7912, predictive_accuracy: 0.7349, prior_entropy: 3.2121, recall: 0.7349, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7845, scimark_benchmark: 1319.5177, usercpu_time_millis: 11270, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 10870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.3763, kappa: 0.2968, kb_relative_information_score: 2997.7126, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.3734, predictive_accuracy: 0.3804, prior_entropy: 3.2121, recall: 0.3804, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.352, root_relative_squared_error: 1.1842, scimark_benchmark: 1333.5799, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.6558, kappa: 0.6118, kb_relative_information_score: 5435.4374, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.6727, predictive_accuracy: 0.6602, prior_entropy: 3.2121, recall: 0.6602, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7292, scimark_benchmark: 1339.3974, usercpu_time_millis: 8100, usercpu_time_millis_training: 8100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.7606, kappa: 0.7254, kb_relative_information_score: 6350.5867, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7875, predictive_accuracy: 0.7595, prior_entropy: 3.2121, recall: 0.7595, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.638, scimark_benchmark: 1310.8451, usercpu_time_millis: 69980, usercpu_time_millis_training: 69980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6758, kappa: 0.6384, kb_relative_information_score: 5911.9158, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.6895, predictive_accuracy: 0.6829, prior_entropy: 3.2121, recall: 0.6829, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.8472, scimark_benchmark: 1066.7184, usercpu_time_millis: 125040, usercpu_time_millis_testing: 69770, usercpu_time_millis_training: 55270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7469, kappa: 0.7128, kb_relative_information_score: 6649.9086, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7482, predictive_accuracy: 0.7464, prior_entropy: 3.2121, recall: 0.7464, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.7326, scimark_benchmark: 1337.446, usercpu_time_millis: 80020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, f_measure: 0.1986, kappa: 0.1808, kb_relative_information_score: 2056.6202, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.1545, predictive_accuracy: 0.3156, prior_entropy: 3.2121, recall: 0.3156, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.37, root_relative_squared_error: 1.2447, scimark_benchmark: 1351.788, usercpu_time_millis: 630, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.65, kappa: 0.6007, kb_relative_information_score: 5630.2958, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.6668, predictive_accuracy: 0.6504, prior_entropy: 3.2121, recall: 0.6504, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8896, scimark_benchmark: 1384.4418, usercpu_time_millis: 878590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 878580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.0505, kb_relative_information_score: 7.8848, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1, scimark_benchmark: 1345.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7513, kappa: 0.7159, kb_relative_information_score: 6668.117, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.7551, predictive_accuracy: 0.749, prior_entropy: 3.2121, recall: 0.749, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7119, scimark_benchmark: 1341.2341, usercpu_time_millis: 26520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 26510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, build_cpu_time: 906.4762, build_memory: 45836151.993, f_measure: 0.8242, kappa: 0.7955, kb_relative_information_score: 6927.837, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8407, predictive_accuracy: 0.8199, prior_entropy: 3.2121, recall: 0.8199, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5503, scimark_benchmark: 940.6882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, build_cpu_time: 460.0612, build_memory: 54631391.3341, f_measure: 0.8195, kappa: 0.7903, kb_relative_information_score: 6908.8987, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8344, predictive_accuracy: 0.8153, prior_entropy: 3.2121, recall: 0.8153, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.5574, scimark_benchmark: 936.3633,

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