OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.8197, kappa: 0.408, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8215, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996, scimark_benchmark: 937.6212, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.8246, kappa: 0.4482, kb_relative_information_score: 128.4536, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8214, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9323, scimark_benchmark: 929.0363, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.8199, kappa: 0.4273, kb_relative_information_score: 137.3522, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8161, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8908, scimark_benchmark: 1321.9426, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.8029, kappa: 0.3594, kb_relative_information_score: 139.6674, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.799, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.8697, scimark_benchmark: 933.3136, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.8013, kappa: 0.3552, kb_relative_information_score: 145.3635, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.797, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8627, scimark_benchmark: 937.1527, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.8174, kappa: 0.4141, kb_relative_information_score: 146.1769, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8137, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8619, scimark_benchmark: 938.343, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8156, kappa: 0.405, kb_relative_information_score: 150.0006, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.8616, scimark_benchmark: 935.5075, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.8215, kappa: 0.4315, kb_relative_information_score: 155.8805, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8178, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8617, scimark_benchmark: 1368.9272, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.8236, kappa: 0.4268, kb_relative_information_score: 129.2478, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8224, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.8948, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8122, kappa: 0.3912, kb_relative_information_score: 137.0289, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.809, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.848, scimark_benchmark: 1339.3974, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8217, kappa: 0.4176, kb_relative_information_score: 135.9844, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.845, scimark_benchmark: 1331.6907, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.8377, kappa: 0.4719, kb_relative_information_score: 139.5849, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8388, predictive_accuracy: 0.8506, prior_entropy: 0.734, recall: 0.8506, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.833, scimark_benchmark: 1404.1865, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8392, kappa: 0.4871, kb_relative_information_score: 168.902, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8367, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.8479, scimark_benchmark: 1325.2092, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.8259, kappa: 0.4313, kb_relative_information_score: 131.1105, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8267, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8397, scimark_benchmark: 1321.527, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.8301, kappa: 0.445, kb_relative_information_score: 133.7217, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.837, scimark_benchmark: 932.0242, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8147, kappa: 0.4003, kb_relative_information_score: 34.195, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8116, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8964, scimark_benchmark: 918.6005, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.8211, kappa: 0.4178, kb_relative_information_score: 211.275, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8199, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0028, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.7992, kappa: 0.385, kb_relative_information_score: 126.5964, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7996, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4509, root_relative_squared_error: 1.1169, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.8146, kappa: 0.4703, kb_relative_information_score: 109.2676, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8336, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8805, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8147, kappa: 0.4003, kb_relative_information_score: 34.195, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8116, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8964, scimark_benchmark: 876.0664, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.7593, kappa: 0.1835, kb_relative_information_score: -531.5176, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8031, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 1.5212, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.498, root_relative_squared_error: 1.2337, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6435, kappa: 0.2436, kb_relative_information_score: -523.9537, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.806, predictive_accuracy: 0.6073, prior_entropy: 0.734, recall: 0.6073, relative_absolute_error: 1.508, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.2318, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.8207, kappa: 0.4128, kb_relative_information_score: 217.7774, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9924, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8451, kappa: 0.5014, kb_relative_information_score: 167.4629, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8441, predictive_accuracy: 0.8544, prior_entropy: 0.734, recall: 0.8544, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8311, scimark_benchmark: 1298.6659, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.8247, kappa: 0.4442, kb_relative_information_score: 161.7526, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8212, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.8851, scimark_benchmark: 1344.3348, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8317, kappa: 0.4496, kb_relative_information_score: 130.5051, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.834, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.8404, scimark_benchmark: 1349.7981, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 196.9191, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4048, root_relative_squared_error: 1.0027, scimark_benchmark: 1315.1549, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.8064, kappa: 0.3851, kb_relative_information_score: 129.765, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8018, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.8946, scimark_benchmark: 1333.1945, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.8159, kappa: 0.4146, kb_relative_information_score: 140.0148, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8119, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.948, scimark_benchmark: 1331.0755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8207, kappa: 0.4128, kb_relative_information_score: 135.9213, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.8454, scimark_benchmark: 1315.1549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.7878, kappa: 0.2955, kb_relative_information_score: 67.739, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7887, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.381, root_relative_squared_error: 0.9439, scimark_benchmark: 1300.7817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.8169, kappa: 0.4042, kb_relative_information_score: 207.3337, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8152, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.0171, scimark_benchmark: 1334.8495, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.7042, kb_relative_information_score: -1.1394, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.7337, kappa: 0.1405, kb_relative_information_score: 57.8956, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.722, predictive_accuracy: 0.751, prior_entropy: 0.734, recall: 0.751, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.499, root_relative_squared_error: 1.2362, scimark_benchmark: 854.5188, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8029, kappa: 0.3594, kb_relative_information_score: 131.8957, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.799, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8883, scimark_benchmark: 1328.4045, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8204, kappa: 0.418, kb_relative_information_score: 120.7698, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8182, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.841, scimark_benchmark: 1313.9606, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.8116, kappa: 0.3719, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8237, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996, scimark_benchmark: 1413.089, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 217.5181, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.99, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8201, kappa: 0.4131, kb_relative_information_score: 131.2342, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8196, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.8392, scimark_benchmark: 1329.8902, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8147, kappa: 0.4003, kb_relative_information_score: 34.195, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8116, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8964, scimark_benchmark: 1315.2176, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8122, kappa: 0.3912, kb_relative_information_score: 137.0289, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.809, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.848, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8233, kappa: 0.4221, kb_relative_information_score: 140.2012, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8242, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.342, root_relative_squared_error: 0.8471, scimark_benchmark: 1332.6143, usercpu_time_millis: 850, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 126.6814, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8625, scimark_benchmark: 942.9708, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8168, kappa: 0.3925, kb_relative_information_score: 158.9004, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9144, scimark_benchmark: 1347.993, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8103, kappa: 0.4752, kb_relative_information_score: 135.437, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8409, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.449, root_relative_squared_error: 1.1122, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 126.6814, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8625, scimark_benchmark: 1322.7257, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8168, kappa: 0.3925, kb_relative_information_score: 158.9004, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9144, scimark_benchmark: 1354.3488, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8103, kappa: 0.4752, kb_relative_information_score: 135.437, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8409, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.449, root_relative_squared_error: 1.1122, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.7033, kappa: -0.0038, kb_relative_information_score: 136.1727, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6317, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4549, root_relative_squared_error: 1.1268, scimark_benchmark: 1341.3551, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 126.6814, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8625, scimark_benchmark: 1339.2472, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8168, kappa: 0.3925, kb_relative_information_score: 158.9004, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.825, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9144, scimark_benchmark: 1333.202, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.8147, kappa: 0.4003, kb_relative_information_score: 34.195, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8116, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.8964, scimark_benchmark: 1323.4116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.8147, kappa: 0.4003, kb_relative_information_score: 131.5163, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8116, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9102, scimark_benchmark: 1311.7006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.8122, kappa: 0.3912, kb_relative_information_score: 137.0289, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.809, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.848, scimark_benchmark: 1371.174, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 1371.174, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8175, kappa: 0.3981, kb_relative_information_score: 126.2961, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8216, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.84, scimark_benchmark: 1360.6367, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.8064, kappa: 0.3851, kb_relative_information_score: 129.765, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8018, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.8946, scimark_benchmark: 1267.7714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,

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