Task
Supervised Classification on wisconsin

Supervised Classification on wisconsin

Task 4324 Supervised Classification wisconsin 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, build_cpu_time: 0.4885, build_memory: 57547979.068, f_measure: 0.5396, kappa: 0.0741, kb_relative_information_score: 136.8166, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5395, predictive_accuracy: 0.5397, prior_entropy: 0.9963, recall: 0.5397, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3226, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, build_cpu_time: 0.5021, build_memory: 774417017.1052, f_measure: 0.5396, kappa: 0.0741, kb_relative_information_score: 136.8166, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5395, predictive_accuracy: 0.5397, prior_entropy: 0.9963, recall: 0.5397, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3226, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.0009, build_memory: 2141955091.5423, f_measure: 0.5283, kappa: 0.0508, kb_relative_information_score: 98.6416, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5279, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3501, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.0135, build_memory: 932901902.2515, f_measure: 0.5283, kappa: 0.0508, kb_relative_information_score: 98.6416, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5279, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3501, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.0242, build_memory: 742450280.6268, f_measure: 0.5283, kappa: 0.0508, kb_relative_information_score: 98.6416, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5279, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3501, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, build_cpu_time: 0.255, build_memory: 1438478431.4186, f_measure: 0.5473, kappa: 0.0909, kb_relative_information_score: 181.7372, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5479, predictive_accuracy: 0.5469, prior_entropy: 0.9963, recall: 0.5469, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2794, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, build_cpu_time: 0.3355, build_memory: 454585233.6289, f_measure: 0.5473, kappa: 0.0909, kb_relative_information_score: 181.7372, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5479, predictive_accuracy: 0.5469, prior_entropy: 0.9963, recall: 0.5469, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.638, root_relative_squared_error: 1.2794, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, build_cpu_time: 2.5535, build_memory: 1402328489.4144, f_measure: 0.5285, kappa: 0.0514, kb_relative_information_score: 91.2655, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5282, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6801, root_relative_squared_error: 1.3637, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, build_cpu_time: 3.9051, build_memory: 112934997.8392, f_measure: 0.5147, kappa: 0.024, kb_relative_information_score: 43.8147, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5146, predictive_accuracy: 0.5149, prior_entropy: 0.9963, recall: 0.5149, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.3868, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.5678, kappa: 0.1307, kb_relative_information_score: 98.6291, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5676, predictive_accuracy: 0.568, prior_entropy: 0.9963, recall: 0.568, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, build_cpu_time: 0.2437, build_memory: 462891023.8557, f_measure: 0.5738, kappa: 0.1426, kb_relative_information_score: 108.8842, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5736, predictive_accuracy: 0.5742, prior_entropy: 0.9963, recall: 0.5742, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0317, scimark_benchmark: 936.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, build_cpu_time: 0.2506, build_memory: 63661207.7402, f_measure: 0.5738, kappa: 0.1426, kb_relative_information_score: 108.8842, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5736, predictive_accuracy: 0.5742, prior_entropy: 0.9963, recall: 0.5742, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0317, scimark_benchmark: 945.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, build_cpu_time: 0.937, build_memory: 254768303.2371, f_measure: 0.5677, kappa: 0.1304, kb_relative_information_score: 114.9533, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5675, predictive_accuracy: 0.568, prior_entropy: 0.9963, recall: 0.568, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0218, scimark_benchmark: 911.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, build_cpu_time: 2.6468, build_memory: 62018845.8804, f_measure: 0.5587, kappa: 0.1117, kb_relative_information_score: 94.8845, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5586, predictive_accuracy: 0.5608, prior_entropy: 0.9963, recall: 0.5608, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0097, scimark_benchmark: 947.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, build_cpu_time: 0.4951, build_memory: 1254891435.365, f_measure: 0.5681, kappa: 0.131, kb_relative_information_score: 107.9622, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5678, predictive_accuracy: 0.5686, prior_entropy: 0.9963, recall: 0.5686, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0273, scimark_benchmark: 929.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.5048, kappa: 0.0048, kb_relative_information_score: 19.1399, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.505, predictive_accuracy: 0.5046, prior_entropy: 0.9963, recall: 0.5046, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.2727, scimark_benchmark: 942.9708, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1281.7531, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 1344.4042, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1260.1387, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1319.5177, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.2409, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.547, kappa: 0.0925, kb_relative_information_score: 166.8271, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5488, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6735, root_relative_squared_error: 1.3505, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5458, kappa: 0.0861, kb_relative_information_score: 121.4568, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5455, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5368, root_relative_squared_error: 1.0765, scimark_benchmark: 1372.2145, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.5362, kappa: 0.0679, kb_relative_information_score: 104.786, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5364, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1145, scimark_benchmark: 1337.7959, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.5227, kappa: 0.0405, kb_relative_information_score: 79.1039, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5228, predictive_accuracy: 0.5227, prior_entropy: 0.9963, recall: 0.5227, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1692, scimark_benchmark: 909.1698, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.5314, kappa: 0.0895, kb_relative_information_score: 105.1446, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5515, predictive_accuracy: 0.5371, prior_entropy: 0.9963, recall: 0.5371, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0935, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.548, kappa: 0.0904, kb_relative_information_score: 103.4614, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5481, predictive_accuracy: 0.551, prior_entropy: 0.9963, recall: 0.551, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0839, scimark_benchmark: 1318.1432, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4185, kappa: -0.0065, kb_relative_information_score: 94.2943, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.492, predictive_accuracy: 0.5278, prior_entropy: 0.9963, recall: 0.5278, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3779, scimark_benchmark: 1380.0066, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, f_measure: 0.458, kappa: -0.0912, kb_relative_information_score: -169.6447, mean_absolute_error: 0.5397, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.457, predictive_accuracy: 0.4603, prior_entropy: 0.9963, recall: 0.4603, relative_absolute_error: 1.085, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7346, root_relative_squared_error: 1.4731, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5574, kappa: 0.1113, kb_relative_information_score: 233.3155, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5597, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6608, root_relative_squared_error: 1.325, scimark_benchmark: 1325.942, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.5515, kappa: 0.0984, kb_relative_information_score: 152.7464, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5515, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1122, scimark_benchmark: 1341.7207, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5287, kappa: 0.0516, kb_relative_information_score: 86.6776, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5283, predictive_accuracy: 0.5294, prior_entropy: 0.9963, recall: 0.5294, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.558, root_relative_squared_error: 1.1189, scimark_benchmark: 906.4475, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.5553, kappa: 0.1071, kb_relative_information_score: 253.4675, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5575, predictive_accuracy: 0.5613, prior_entropy: 0.9963, recall: 0.5613, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6257, root_relative_squared_error: 1.2546, scimark_benchmark: 918.6005, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.541, kappa: 0.0777, kb_relative_information_score: 115.5223, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5412, predictive_accuracy: 0.5407, prior_entropy: 0.9963, recall: 0.5407, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1743, scimark_benchmark: 1328.941, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.5986, kappa: 0.2003, kb_relative_information_score: 324.6589, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.604, predictive_accuracy: 0.5985, prior_entropy: 0.9963, recall: 0.5985, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5893, root_relative_squared_error: 1.1816, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.5422, kappa: 0.0894, kb_relative_information_score: 111.3014, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.548, predictive_accuracy: 0.5423, prior_entropy: 0.9963, recall: 0.5423, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5747, root_relative_squared_error: 1.1524, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.5891, kappa: 0.1757, kb_relative_information_score: 332.0408, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5902, predictive_accuracy: 0.5887, prior_entropy: 0.9963, recall: 0.5887, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6414, root_relative_squared_error: 1.2861, scimark_benchmark: 924.1296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5596, kappa: 0.1153, kb_relative_information_score: 139.8938, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.56, predictive_accuracy: 0.5593, prior_entropy: 0.9963, recall: 0.5593, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.5472, kappa: 0.0892, kb_relative_information_score: 150.9064, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.547, predictive_accuracy: 0.5474, prior_entropy: 0.9963, recall: 0.5474, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.2214, scimark_benchmark: 1341.7207, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.5447, kappa: 0.0843, kb_relative_information_score: 160.7827, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5445, predictive_accuracy: 0.5448, prior_entropy: 0.9963, recall: 0.5448, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6747, root_relative_squared_error: 1.3528, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.5992, kappa: 0.2008, kb_relative_information_score: 324.8844, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.604, predictive_accuracy: 0.599, prior_entropy: 0.9963, recall: 0.599, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1813, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4678, f_measure: 0.4527, kappa: -0.0306, kb_relative_information_score: -26.8705, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.4794, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.029, scimark_benchmark: 1413.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.2409, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5771, kappa: 0.1493, kb_relative_information_score: 200.1935, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5769, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5302, root_relative_squared_error: 1.0632, scimark_benchmark: 1315.395, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5491, kappa: 0.093, kb_relative_information_score: 79.4569, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5489, predictive_accuracy: 0.5495, prior_entropy: 0.9963, recall: 0.5495, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.0965, scimark_benchmark: 1334.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5491, kappa: 0.093, kb_relative_information_score: 79.4569, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5489, predictive_accuracy: 0.5495, prior_entropy: 0.9963, recall: 0.5495, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.0965, scimark_benchmark: 1270.2428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5712, kappa: 0.1373, kb_relative_information_score: 108.0932, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.571, predictive_accuracy: 0.5716, prior_entropy: 0.9963, recall: 0.5716, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0107, scimark_benchmark: 862.7006, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5497, kappa: 0.0935, kb_relative_information_score: 89.5639, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5495, predictive_accuracy: 0.5521, prior_entropy: 0.9963, recall: 0.5521, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0271, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 901.4991, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5859, f_measure: 0.5791, kappa: 0.1532, kb_relative_information_score: 103.6747, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5788, predictive_accuracy: 0.5794, prior_entropy: 0.9963, recall: 0.5794, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0055, scimark_benchmark: 933.9, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.5711, kappa: 0.1376, kb_relative_information_score: 101.0204, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5711, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9989, scimark_benchmark: 859.5223, usercpu_time_millis: 1530, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.5795, kappa: 0.155, kb_relative_information_score: 107.5796, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5797, predictive_accuracy: 0.5794, prior_entropy: 0.9963, recall: 0.5794, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9953, scimark_benchmark: 904.5548, usercpu_time_millis: 3410, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 936.9595,

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