OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 1768 Supervised Classification labor 355 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8482, kappa: 0.6649, kb_relative_information_score: 178.4436, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8478, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.649, scimark_benchmark: 944.4621, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.9158, kappa: 0.8151, kb_relative_information_score: 229.3882, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9158, predictive_accuracy: 0.9158, prior_entropy: 0.9393, recall: 0.9158, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.608, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9007, kappa: 0.7803, kb_relative_information_score: 182.8746, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9013, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5627, scimark_benchmark: 1324.8395, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8961, kappa: 0.7686, kb_relative_information_score: 218.0758, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8997, predictive_accuracy: 0.8982, prior_entropy: 0.9393, recall: 0.8982, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6684, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9013, kappa: 0.7823, kb_relative_information_score: 202.3928, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9012, predictive_accuracy: 0.9018, prior_entropy: 0.9393, recall: 0.9018, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.881, kappa: 0.7393, kb_relative_information_score: 191.7119, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8813, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.626, scimark_benchmark: 1425.1294, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 1316.0472, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.7899, kappa: 0.5338, kb_relative_information_score: 136.2851, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7895, predictive_accuracy: 0.793, prior_entropy: 0.9393, recall: 0.793, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8913, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7944, kappa: 0.5409, kb_relative_information_score: 108.8276, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7968, predictive_accuracy: 0.8, prior_entropy: 0.9393, recall: 0.8, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8551, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.7686, kappa: 0.4863, kb_relative_information_score: 107.6568, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7677, predictive_accuracy: 0.7719, prior_entropy: 0.9393, recall: 0.7719, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9279, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8142, kappa: 0.5927, kb_relative_information_score: 163.7764, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8145, predictive_accuracy: 0.814, prior_entropy: 0.9393, recall: 0.814, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9035, scimark_benchmark: 1315.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6273, kappa: 0.351, kb_relative_information_score: 48.3901, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8133, predictive_accuracy: 0.6351, prior_entropy: 0.9393, recall: 0.6351, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.6041, root_relative_squared_error: 1.2657, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.8016, kappa: 0.557, kb_relative_information_score: 124.3474, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8043, predictive_accuracy: 0.807, prior_entropy: 0.9393, recall: 0.807, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8509, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7468, kappa: 0.4428, kb_relative_information_score: 120.7894, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7463, predictive_accuracy: 0.7474, prior_entropy: 0.9393, recall: 0.7474, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0531, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7953, kappa: 0.5412, kb_relative_information_score: 156.989, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8027, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9288, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.511, kb_relative_information_score: -1.9496, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7756, kappa: 0.4966, kb_relative_information_score: 112.432, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7844, predictive_accuracy: 0.786, prior_entropy: 0.9393, recall: 0.786, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.916, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 0.1152, build_memory: 477185863.9439, f_measure: 0.8804, kappa: 0.7369, kb_relative_information_score: 206.091, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8802, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.718, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 0.1073, build_memory: 366032842.6947, f_measure: 0.8804, kappa: 0.7369, kb_relative_information_score: 206.0954, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8802, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.718, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 0.0543, build_memory: 1750880894.7368, f_measure: 0.8804, kappa: 0.7369, kb_relative_information_score: 206.098, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8802, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.718, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, build_cpu_time: 0.0412, build_memory: 946618173.614, f_measure: 0.8838, kappa: 0.744, kb_relative_information_score: 208.324, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8836, predictive_accuracy: 0.8842, prior_entropy: 0.9393, recall: 0.8842, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.7066, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, build_cpu_time: 0.0263, build_memory: 599251321.5158, f_measure: 0.8908, kappa: 0.7596, kb_relative_information_score: 215.4027, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.9393, recall: 0.8912, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6644, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, build_cpu_time: 0.0021, build_memory: 1121230296, f_measure: 0.8436, kappa: 0.6531, kb_relative_information_score: 169.4471, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8438, predictive_accuracy: 0.8456, prior_entropy: 0.9393, recall: 0.8456, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7732, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.0022, build_memory: 362207761.2912, f_measure: 0.8398, kappa: 0.6444, kb_relative_information_score: 168.2634, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8402, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7844, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.0042, build_memory: 75403339.0596, f_measure: 0.8398, kappa: 0.6444, kb_relative_information_score: 168.2634, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8402, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7844, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.0033, build_memory: 313368193.6842, f_measure: 0.8398, kappa: 0.6444, kb_relative_information_score: 168.2634, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8402, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7844, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.0103, build_memory: 19842366.2596, f_measure: 0.8398, kappa: 0.6444, kb_relative_information_score: 168.2634, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8402, predictive_accuracy: 0.8421, prior_entropy: 0.9393, recall: 0.8421, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7844, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.003, build_memory: 239842355.3123, f_measure: 0.7925, kappa: 0.5384, kb_relative_information_score: 139.3579, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9393, recall: 0.7965, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.91, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.0028, build_memory: 2086945968, f_measure: 0.7925, kappa: 0.5384, kb_relative_information_score: 139.3579, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9393, recall: 0.7965, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.91, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.0017, build_memory: 2320594000, f_measure: 0.7925, kappa: 0.5384, kb_relative_information_score: 139.3579, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9393, recall: 0.7965, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.91, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.001, build_memory: 1665203560, f_measure: 0.7925, kappa: 0.5384, kb_relative_information_score: 139.3579, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9393, recall: 0.7965, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.91, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, build_cpu_time: 0.0008, build_memory: 1208959288, f_measure: 0.7925, kappa: 0.5384, kb_relative_information_score: 139.3579, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9393, recall: 0.7965, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.91, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, build_cpu_time: 0.0103, build_memory: 2075379956.1544, f_measure: 0.8398, kappa: 0.6413, kb_relative_information_score: 136.3991, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8482, predictive_accuracy: 0.8456, prior_entropy: 0.9393, recall: 0.8456, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6981, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, build_cpu_time: 0.0166, build_memory: 1946134494.6246, f_measure: 0.8398, kappa: 0.6413, kb_relative_information_score: 136.3991, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8482, predictive_accuracy: 0.8456, prior_entropy: 0.9393, recall: 0.8456, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6981, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, build_cpu_time: 0.0179, build_memory: 92902585.8807, f_measure: 0.8731, kappa: 0.7201, kb_relative_information_score: 202.083, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8728, predictive_accuracy: 0.8737, prior_entropy: 0.9393, recall: 0.8737, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7389, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, build_cpu_time: 0.0016, build_memory: 1149397477.1088, f_measure: 0.8642, kappa: 0.7043, kb_relative_information_score: 174.8502, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8662, predictive_accuracy: 0.8632, prior_entropy: 0.9393, recall: 0.8632, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6742, scimark_benchmark: 946.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 0.0006, build_memory: 734236065.6281, f_measure: 0.8706, kappa: 0.717, kb_relative_information_score: 184.4723, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8712, predictive_accuracy: 0.8702, prior_entropy: 0.9393, recall: 0.8702, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6571, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, build_cpu_time: 0.0166, build_memory: 151251935.3825, f_measure: 0.8325, kappa: 0.625, kb_relative_information_score: 135.0707, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8405, predictive_accuracy: 0.8386, prior_entropy: 0.9393, recall: 0.8386, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6942, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, build_cpu_time: 0.0001, build_memory: 1504046499.2, f_measure: 0.8167, kappa: 0.5912, kb_relative_information_score: 161.742, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8189, predictive_accuracy: 0.8211, prior_entropy: 0.9393, recall: 0.8211, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8596, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, build_cpu_time: 0.0001, build_memory: 215336391.8035, f_measure: 0.8514, kappa: 0.6812, kb_relative_information_score: 176.2602, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8598, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7897, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0044, build_memory: 162282501.2211, f_measure: 0.511, kb_relative_information_score: 57.44, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.5923, root_relative_squared_error: 1.2411, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, build_cpu_time: 0.0033, build_memory: 551195925.5579, f_measure: 0.8768, kappa: 0.7285, kb_relative_information_score: 204.501, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8765, predictive_accuracy: 0.8772, prior_entropy: 0.9393, recall: 0.8772, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7343, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, build_cpu_time: 0.0046, build_memory: 150708033.207, f_measure: 0.8914, kappa: 0.7618, kb_relative_information_score: 213.5509, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8915, predictive_accuracy: 0.8912, prior_entropy: 0.9393, recall: 0.8912, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.691, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 0.002, build_memory: 100971312.1123, f_measure: 0.896, kappa: 0.7751, kb_relative_information_score: 214.5126, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9004, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6706, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, build_cpu_time: 0.0003, build_memory: 147153583.3263, f_measure: 0.8795, kappa: 0.7332, kb_relative_information_score: 198.2184, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8798, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6924, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, build_cpu_time: 0.003, build_memory: 403564585.3754, f_measure: 0.7935, kappa: 0.5367, kb_relative_information_score: 91.8162, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.805, predictive_accuracy: 0.8035, prior_entropy: 0.9393, recall: 0.8035, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.8169, scimark_benchmark: 930.1524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, build_cpu_time: 0.0006, build_memory: 160728728, f_measure: 0.7756, kappa: 0.4966, kb_relative_information_score: 112.432, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.7844, predictive_accuracy: 0.786, prior_entropy: 0.9393, recall: 0.786, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.916, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, build_cpu_time: 0.0001, build_memory: 387419264, f_measure: 0.511, kb_relative_information_score: -1.9496, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, build_cpu_time: 0.0002, build_memory: 707430219.593, f_measure: 0.8795, kappa: 0.7332, kb_relative_information_score: 198.2184, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8798, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6924, scimark_benchmark: 947.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, build_cpu_time: 0.0002, build_memory: 520093704, f_measure: 0.8795, kappa: 0.7332, kb_relative_information_score: 198.2184, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8798, predictive_accuracy: 0.8807, prior_entropy: 0.9393, recall: 0.8807, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6924, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, build_cpu_time: 0.0404, build_memory: 614856633.7965, f_measure: 0.867, kappa: 0.7086, kb_relative_information_score: 174.5074, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8674, predictive_accuracy: 0.8667, prior_entropy: 0.9393, recall: 0.8667, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6479, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, build_cpu_time: 0.0633, build_memory: 763786332.9404, f_measure: 0.8872, kappa: 0.7512, kb_relative_information_score: 179.9839, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.887, predictive_accuracy: 0.8877, prior_entropy: 0.9393, recall: 0.8877, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6138, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, build_cpu_time: 0.1553, build_memory: 573282615.8596, f_measure: 0.8906, kappa: 0.7584, kb_relative_information_score: 179.7447, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8905, predictive_accuracy: 0.8912, prior_entropy: 0.9393, recall: 0.8912, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.5958, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, build_cpu_time: 0.2827, build_memory: 636312090.8912, f_measure: 0.9078, kappa: 0.796, kb_relative_information_score: 183.1848, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.9085, predictive_accuracy: 0.9088, prior_entropy: 0.9393, recall: 0.9088, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5761, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 0.5659, build_memory: 736296750.4842, f_measure: 0.8937, kappa: 0.7646, kb_relative_information_score: 182.7014, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.457, number_of_instances: 285, precision: 0.8941, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5784, scimark_benchmark: 938.8806,

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

OpenML bootcamp

From your own software

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

OpenML APIs