Task
Supervised Classification on gina_agnostic

Supervised Classification on gina_agnostic

Task 4596 Supervised Classification gina_agnostic 124 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8805, kappa: 0.7609, kb_relative_information_score: 25295.3178, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.9998, recall: 0.8805, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8351, kappa: 0.6702, kb_relative_information_score: 14707.3234, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8352, predictive_accuracy: 0.8351, prior_entropy: 0.9998, recall: 0.8351, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241, scimark_benchmark: 972.587, usercpu_time_millis: 20510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8408, kappa: 0.6818, kb_relative_information_score: 19365.8284, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8413, predictive_accuracy: 0.8408, prior_entropy: 0.9998, recall: 0.8408, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6858, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8805, kappa: 0.7609, kb_relative_information_score: 25295.3178, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.9998, recall: 0.8805, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678, scimark_benchmark: 942.2392, usercpu_time_millis: 4300, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8351, kappa: 0.6702, kb_relative_information_score: 14707.3234, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8352, predictive_accuracy: 0.8351, prior_entropy: 0.9998, recall: 0.8351, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241, scimark_benchmark: 901.6243, usercpu_time_millis: 31300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 31290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8408, kappa: 0.6818, kb_relative_information_score: 19365.8284, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8413, predictive_accuracy: 0.8408, prior_entropy: 0.9998, recall: 0.8408, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6858, scimark_benchmark: 940.1541, usercpu_time_millis: 50890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9433, kappa: 0.8866, kb_relative_information_score: 25474.6546, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9435, predictive_accuracy: 0.9433, prior_entropy: 0.9998, recall: 0.9433, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4518, scimark_benchmark: 934.7923, usercpu_time_millis: 2244900, usercpu_time_millis_testing: 689590, usercpu_time_millis_training: 1555310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9412, kappa: 0.8824, kb_relative_information_score: 25435.9386, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9414, predictive_accuracy: 0.9412, prior_entropy: 0.9998, recall: 0.9412, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4574, scimark_benchmark: 933.3455, usercpu_time_millis: 1101120, usercpu_time_millis_testing: 327440, usercpu_time_millis_training: 773680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9375, kappa: 0.8751, kb_relative_information_score: 25374.2344, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9377, predictive_accuracy: 0.9375, prior_entropy: 0.9998, recall: 0.9375, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.4664, scimark_benchmark: 890.4736, usercpu_time_millis: 542610, usercpu_time_millis_testing: 171020, usercpu_time_millis_training: 371590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9318, kappa: 0.8635, kb_relative_information_score: 25281.1533, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9319, predictive_accuracy: 0.9317, prior_entropy: 0.9998, recall: 0.9317, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.242, root_relative_squared_error: 0.484, scimark_benchmark: 928.821, usercpu_time_millis: 296270, usercpu_time_millis_testing: 95030, usercpu_time_millis_training: 201240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8291, kappa: 0.6581, kb_relative_information_score: 19878.5495, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8293, predictive_accuracy: 0.8292, prior_entropy: 0.9998, recall: 0.8292, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7012, scimark_benchmark: 894.7131, usercpu_time_millis: 11600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8291, kappa: 0.6581, kb_relative_information_score: 19878.5495, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8293, predictive_accuracy: 0.8292, prior_entropy: 0.9998, recall: 0.8292, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7012, scimark_benchmark: 941.9549, usercpu_time_millis: 11250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8291, kappa: 0.6581, kb_relative_information_score: 19878.5495, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8293, predictive_accuracy: 0.8292, prior_entropy: 0.9998, recall: 0.8292, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7012, scimark_benchmark: 894.7131, usercpu_time_millis: 11700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8287, kappa: 0.6574, kb_relative_information_score: 19775.7379, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8289, predictive_accuracy: 0.8288, prior_entropy: 0.9998, recall: 0.8288, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7032, scimark_benchmark: 941.9549, usercpu_time_millis: 11260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8149, kappa: 0.6296, kb_relative_information_score: 18395.7781, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8151, predictive_accuracy: 0.8149, prior_entropy: 0.9998, recall: 0.8149, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.725, scimark_benchmark: 926.5859, usercpu_time_millis: 7140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7832, kappa: 0.5662, kb_relative_information_score: 14059.4845, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7835, predictive_accuracy: 0.7833, prior_entropy: 0.9998, recall: 0.7833, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8005, scimark_benchmark: 929.0296, usercpu_time_millis: 2220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.846, kappa: 0.6919, kb_relative_information_score: 23587.209, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8466, predictive_accuracy: 0.8461, prior_entropy: 0.9998, recall: 0.8461, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.721, scimark_benchmark: 936.1714, usercpu_time_millis: 117620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 117590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8348, kappa: 0.6696, kb_relative_information_score: 22822.0758, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8358, predictive_accuracy: 0.835, prior_entropy: 0.9998, recall: 0.835, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7449, scimark_benchmark: 929.0296, usercpu_time_millis: 63310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 63290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8122, kappa: 0.6249, kb_relative_information_score: 21329.575, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8156, predictive_accuracy: 0.8128, prior_entropy: 0.9998, recall: 0.8128, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.787, scimark_benchmark: 941.9549, usercpu_time_millis: 29840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 29820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7792, kappa: 0.5609, kb_relative_information_score: 19146.7775, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7893, predictive_accuracy: 0.7812, prior_entropy: 0.9998, recall: 0.7812, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8537, scimark_benchmark: 938.3115, usercpu_time_millis: 15470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7388, kappa: 0.4858, kb_relative_information_score: 16725.2203, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.762, predictive_accuracy: 0.7441, prior_entropy: 0.9998, recall: 0.7441, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9338, scimark_benchmark: 929.0296, usercpu_time_millis: 7660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 566.2435, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, scimark_benchmark: 922.8232, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.872, kappa: 0.7439, kb_relative_information_score: 25431.1837, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9998, recall: 0.872, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7003, scimark_benchmark: 906.0884, usercpu_time_millis: 9230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9209, kappa: 0.8417, kb_relative_information_score: 24432.9063, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9209, predictive_accuracy: 0.9208, prior_entropy: 0.9998, recall: 0.9208, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.5124, scimark_benchmark: 942.6192, usercpu_time_millis: 1138880, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1138800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.747, kappa: 0.4978, kb_relative_information_score: 9446.2232, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7588, predictive_accuracy: 0.7498, prior_entropy: 0.9998, recall: 0.7498, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8478, scimark_benchmark: 933.0918, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8805, kappa: 0.7609, kb_relative_information_score: 25295.3178, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.9998, recall: 0.8805, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678, scimark_benchmark: 934.929, usercpu_time_millis: 4720, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8351, kappa: 0.6702, kb_relative_information_score: 14707.3234, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8352, predictive_accuracy: 0.8351, prior_entropy: 0.9998, recall: 0.8351, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241, scimark_benchmark: 906.0884, usercpu_time_millis: 30040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8529, kappa: 0.7057, kb_relative_information_score: 24246.1386, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8529, predictive_accuracy: 0.8529, prior_entropy: 0.9998, recall: 0.8529, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7427, scimark_benchmark: 845.538, usercpu_time_millis: 52010, usercpu_time_millis_testing: 21070, usercpu_time_millis_training: 30940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8408, kappa: 0.6818, kb_relative_information_score: 19365.8284, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8413, predictive_accuracy: 0.8408, prior_entropy: 0.9998, recall: 0.8408, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6858, scimark_benchmark: 923.509, usercpu_time_millis: 50840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8805, kappa: 0.7609, kb_relative_information_score: 25295.3178, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.9998, recall: 0.8805, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678, scimark_benchmark: 936.3952, usercpu_time_millis: 4080, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8721, kappa: 0.7442, kb_relative_information_score: 25540.8697, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8721, predictive_accuracy: 0.8721, prior_entropy: 0.9998, recall: 0.8721, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6866, scimark_benchmark: 1317.8359, usercpu_time_millis: 3526150, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 3524280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8408, kappa: 0.6818, kb_relative_information_score: 19365.8284, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8413, predictive_accuracy: 0.8408, prior_entropy: 0.9998, recall: 0.8408, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6858, scimark_benchmark: 1350.1007, usercpu_time_millis: 48000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 47990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8351, kappa: 0.6702, kb_relative_information_score: 14707.3234, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8352, predictive_accuracy: 0.8351, prior_entropy: 0.9998, recall: 0.8351, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241, scimark_benchmark: 1365.0842, usercpu_time_millis: 17510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.8805, kappa: 0.7609, kb_relative_information_score: 25295.3178, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.9998, recall: 0.8805, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6678, scimark_benchmark: 1347.7267, usercpu_time_millis: 2310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8351, kappa: 0.6702, kb_relative_information_score: 14707.3234, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8352, predictive_accuracy: 0.8351, prior_entropy: 0.9998, recall: 0.8351, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7241, scimark_benchmark: 1315.2176, usercpu_time_millis: 13520, usercpu_time_millis_training: 13520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7173, kappa: 0.45, kb_relative_information_score: 9541.5455, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.756, predictive_accuracy: 0.7266, prior_entropy: 0.9998, recall: 0.7266, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8768, scimark_benchmark: 1334.8495, usercpu_time_millis: 2860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8921, kappa: 0.7843, kb_relative_information_score: 25412.1533, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8926, predictive_accuracy: 0.8921, prior_entropy: 0.9998, recall: 0.8921, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6183, scimark_benchmark: 1316.7863, usercpu_time_millis: 19270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8251, kappa: 0.65, kb_relative_information_score: 22543.1006, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 0.9998, recall: 0.8251, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8366, scimark_benchmark: 1307.7326, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7692, kappa: 0.5393, kb_relative_information_score: 18729.0216, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7732, predictive_accuracy: 0.7702, prior_entropy: 0.9998, recall: 0.7702, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 1331.482, usercpu_time_millis: 3900, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9054, kappa: 0.8108, kb_relative_information_score: 27397.3973, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9054, predictive_accuracy: 0.9054, prior_entropy: 0.9998, recall: 0.9054, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.5537, scimark_benchmark: 1464.9318, usercpu_time_millis: 126610, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 126540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9191, kappa: 0.8382, kb_relative_information_score: 27902.5931, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9191, predictive_accuracy: 0.9191, prior_entropy: 0.9998, recall: 0.9191, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5214, scimark_benchmark: 1293.1919, usercpu_time_millis: 95840, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 95790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9201, kappa: 0.8402, kb_relative_information_score: 23475.0459, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9204, predictive_accuracy: 0.9201, prior_entropy: 0.9998, recall: 0.9201, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5121, scimark_benchmark: 1332.0036, usercpu_time_millis: 33210, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 32940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9214, kappa: 0.8428, kb_relative_information_score: 23973.6409, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9217, predictive_accuracy: 0.9214, prior_entropy: 0.9998, recall: 0.9214, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5064, scimark_benchmark: 1366.0221, usercpu_time_millis: 133880, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 133810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.918, kappa: 0.836, kb_relative_information_score: 23435.6564, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9183, predictive_accuracy: 0.918, prior_entropy: 0.9998, recall: 0.918, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.517, scimark_benchmark: 1293.1919, usercpu_time_millis: 20260, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 20080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.91, kappa: 0.8201, kb_relative_information_score: 23769.7987, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9103, predictive_accuracy: 0.91, prior_entropy: 0.9998, recall: 0.91, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5304, scimark_benchmark: 1326.9922, usercpu_time_millis: 12910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7689, kappa: 0.5394, kb_relative_information_score: 18742.3569, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7751, predictive_accuracy: 0.7703, prior_entropy: 0.9998, recall: 0.7703, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9558, scimark_benchmark: 1386.5717, usercpu_time_millis: 2370, usercpu_time_millis_testing: 1710, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.6161, kappa: 0.3197, kb_relative_information_score: 229.228, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7817, predictive_accuracy: 0.6562, prior_entropy: 0.9998, recall: 0.6562, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1339.4189, usercpu_time_millis: 1060, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3427, kb_relative_information_score: -0.0401, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 912.7324, usercpu_time_millis: 290, usercpu_time_millis_testing: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8844, kappa: 0.7687, kb_relative_information_score: 26660.76, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8845, predictive_accuracy: 0.8844, prior_entropy: 0.9998, recall: 0.8844, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.34, root_relative_squared_error: 0.68, scimark_benchmark: 918.0213, usercpu_time_millis: 20940, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 20560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7278, kappa: 0.4627, kb_relative_information_score: 9333.1834, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7465, predictive_accuracy: 0.7325, prior_entropy: 0.9998, recall: 0.7325, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8789, scimark_benchmark: 1339.4189, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9144, kappa: 0.8287, kb_relative_information_score: 23373.3692, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9147, predictive_accuracy: 0.9144, prior_entropy: 0.9998, recall: 0.9144, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5261, scimark_benchmark: 942.6843, usercpu_time_millis: 14380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 14310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8601, kappa: 0.7202, kb_relative_information_score: 21792.5403, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8601, predictive_accuracy: 0.8602, prior_entropy: 0.9998, recall: 0.8602, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.642, scimark_benchmark: 889.3151, usercpu_time_millis: 29980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 29970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9189, kappa: 0.8379, kb_relative_information_score: 23960.4039, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9192, predictive_accuracy: 0.9189, prior_entropy: 0.9998, recall: 0.9189, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.5091, scimark_benchmark: 895.5332, usercpu_time_millis: 91640, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 91600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9165, kappa: 0.8329, kb_relative_information_score: 23913.4983, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9167, predictive_accuracy: 0.9165, prior_entropy: 0.9998, recall: 0.9165, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5158, scimark_benchmark: 1304.9611, usercpu_time_millis: 32660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 32640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 24569.6525, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8724, predictive_accuracy: 0.8723, prior_entropy: 0.9998, recall: 0.8723, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6838, scimark_benchmark: 1368.9272, usercpu_time_millis: 11600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8545, kappa: 0.7089, kb_relative_information_score: 21702.7476, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9998, recall: 0.8545, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6505, scimark_benchmark: 1287.514, usercpu_time_millis: 82520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 82490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.846, kappa: 0.692, kb_relative_information_score: 20849.4978, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8461, predictive_accuracy: 0.8461, prior_entropy: 0.9998, recall: 0.8461, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6668, scimark_benchmark: 1318.1432, usercpu_time_millis: 43400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 43380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8365, kappa: 0.6729, kb_relative_information_score: 19866.2621, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9998, recall: 0.8365, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6858, scimark_benchmark: 1336.2509, usercpu_time_millis: 19910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8242, kappa: 0.6482, kb_relative_information_score: 18493.9252, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 0.9998, recall: 0.8242, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7108, scimark_benchmark: 1304.6687, usercpu_time_millis: 10400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.7976, kappa: 0.5954, kb_relative_information_score: 16228.1579, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7996, predictive_accuracy: 0.798, prior_entropy: 0.9998, recall: 0.798, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.751, scimark_benchmark: 1333.5799, usercpu_time_millis: 4870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8415, kappa: 0.6854, kb_relative_information_score: 20200.9791, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8563, predictive_accuracy: 0.8433, prior_entropy: 0.9998, recall: 0.8433, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6756, scimark_benchmark: 1363.454, usercpu_time_millis: 150960, usercpu_time_millis_testing: 150950, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8421, kappa: 0.6857, kb_relative_information_score: 21004.693, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8519, predictive_accuracy: 0.8433, prior_entropy: 0.9998, recall: 0.8433, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6956, scimark_benchmark: 1336.3256, usercpu_time_millis: 132000, usercpu_time_millis_testing: 132000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7543, kappa: 0.5093, kb_relative_information_score: 17689.1443, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.7574, predictive_accuracy: 0.7551, prior_entropy: 0.9998, recall: 0.7551, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9898, scimark_benchmark: 1384.4418, usercpu_time_millis: 11690, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9294, kappa: 0.8588, kb_relative_information_score: 29784.0188, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 0.9998, recall: 0.9294, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5313, scimark_benchmark: 1404.1865, usercpu_time_millis: 137250, usercpu_time_millis_testing: 33530, usercpu_time_millis_training: 103720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 23069.3126, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4999, number_of_instances: 34680, precision: 0.8327, predictive_accuracy: 0.8327, prior_entropy: 0.9998, recall: 0.8327, relative_absolute_error: 0.3348, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8182, scimark_benchmark: 940.3347, usercpu_time_millis: 292330, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 292190,

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