Task
Supervised Classification on fri_c2_100_10

Supervised Classification on fri_c2_100_10

Task 4333 Supervised Classification fri_c2_100_10 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 0.0136, build_memory: 2533762610.24, f_measure: 0.7668, kappa: 0.5286, kb_relative_information_score: 426.8882, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9931, recall: 0.767, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7855, scimark_benchmark: 930.1475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, build_cpu_time: 0.0274, build_memory: 324032468.8, f_measure: 0.7688, kappa: 0.5325, kb_relative_information_score: 427.5438, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7687, predictive_accuracy: 0.769, prior_entropy: 0.9931, recall: 0.769, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7781, scimark_benchmark: 885.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, build_cpu_time: 0.0251, build_memory: 70281511.6, f_measure: 0.7688, kappa: 0.5325, kb_relative_information_score: 427.5438, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7687, predictive_accuracy: 0.769, prior_entropy: 0.9931, recall: 0.769, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7781, scimark_benchmark: 945.8332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, build_cpu_time: 0.027, build_memory: 156549003.6, f_measure: 0.7688, kappa: 0.5325, kb_relative_information_score: 427.5438, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7687, predictive_accuracy: 0.769, prior_entropy: 0.9931, recall: 0.769, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7781, scimark_benchmark: 941.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, build_cpu_time: 0.0477, build_memory: 1222890866.88, f_measure: 0.7665, kappa: 0.5277, kb_relative_information_score: 425.7605, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7665, predictive_accuracy: 0.767, prior_entropy: 0.9931, recall: 0.767, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.7753, scimark_benchmark: 937.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, build_cpu_time: 0.0906, build_memory: 1221645198.96, f_measure: 0.7646, kappa: 0.5238, kb_relative_information_score: 428.4478, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7645, predictive_accuracy: 0.765, prior_entropy: 0.9931, recall: 0.765, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7711, scimark_benchmark: 942.3035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, build_cpu_time: 0.3094, build_memory: 229736704.72, f_measure: 0.7674, kappa: 0.5289, kb_relative_information_score: 413.3983, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7692, predictive_accuracy: 0.769, prior_entropy: 0.9931, recall: 0.769, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7768, scimark_benchmark: 918.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, build_cpu_time: 0.034, build_memory: 1358396055.2, f_measure: 0.764, kappa: 0.5221, kb_relative_information_score: 420.063, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7646, predictive_accuracy: 0.765, prior_entropy: 0.9931, recall: 0.765, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7845, scimark_benchmark: 942.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, build_cpu_time: 0.07, build_memory: 210164079.76, f_measure: 0.7928, kappa: 0.5812, kb_relative_information_score: 577.4255, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7928, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.4214, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8791, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, build_cpu_time: 0.0806, build_memory: 1010752516.16, f_measure: 0.7865, kappa: 0.568, kb_relative_information_score: 568.3473, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7866, predictive_accuracy: 0.787, prior_entropy: 0.9931, recall: 0.787, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.902, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, build_cpu_time: 0.1596, build_memory: 863304116.16, f_measure: 0.7929, kappa: 0.5816, kb_relative_information_score: 582.3736, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7929, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8934, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, build_cpu_time: 0.3574, build_memory: 1852693064, f_measure: 0.792, kappa: 0.5796, kb_relative_information_score: 581.1321, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9931, recall: 0.792, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8991, scimark_benchmark: 939.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8047, build_cpu_time: 0.6555, build_memory: 1729873504.4, f_measure: 0.794, kappa: 0.5838, kb_relative_information_score: 583.1066, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.794, predictive_accuracy: 0.794, prior_entropy: 0.9931, recall: 0.794, relative_absolute_error: 0.415, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8995, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7601, kappa: 0.5157, kb_relative_information_score: 496.3053, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9381, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -1.7743, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7441, kappa: 0.4835, kb_relative_information_score: 480.5474, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.744, prior_entropy: 0.9931, recall: 0.744, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.506, root_relative_squared_error: 1.017, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7759, kappa: 0.5463, kb_relative_information_score: 547.4719, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7768, predictive_accuracy: 0.777, prior_entropy: 0.9931, recall: 0.777, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9492, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7264, kappa: 0.4464, kb_relative_information_score: 424.9521, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7263, predictive_accuracy: 0.727, prior_entropy: 0.9931, recall: 0.727, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9625, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.316, kappa: -0.0322, kb_relative_information_score: -137.9979, mean_absolute_error: 0.561, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.4268, predictive_accuracy: 0.439, prior_entropy: 0.9931, recall: 0.439, relative_absolute_error: 1.1331, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.749, root_relative_squared_error: 1.5055, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7296, kappa: 0.4559, kb_relative_information_score: 450.1271, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7316, predictive_accuracy: 0.729, prior_entropy: 0.9931, recall: 0.729, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0464, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7383, kappa: 0.4703, kb_relative_information_score: 357.0993, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7383, predictive_accuracy: 0.739, prior_entropy: 0.9931, recall: 0.739, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9159, scimark_benchmark: 1308.9788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7536, kappa: 0.5011, kb_relative_information_score: 363.6983, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7546, predictive_accuracy: 0.755, prior_entropy: 0.9931, recall: 0.755, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8875, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6995, kappa: 0.3942, kb_relative_information_score: 389.2866, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7004, predictive_accuracy: 0.699, prior_entropy: 0.9931, recall: 0.699, relative_absolute_error: 0.608, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1028, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.7849, kappa: 0.5652, kb_relative_information_score: 421.9976, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7848, predictive_accuracy: 0.785, prior_entropy: 0.9931, recall: 0.785, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7519, scimark_benchmark: 1319.5177, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7204, kappa: 0.4338, kb_relative_information_score: 316.7837, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7212, predictive_accuracy: 0.722, prior_entropy: 0.9931, recall: 0.722, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8768, scimark_benchmark: 906.4475, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7117, kappa: 0.4163, kb_relative_information_score: 417.6788, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.712, predictive_accuracy: 0.713, prior_entropy: 0.9931, recall: 0.713, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.0768, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7788, kappa: 0.5521, kb_relative_information_score: 234.4501, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9931, recall: 0.78, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8868, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7212, kappa: 0.4354, kb_relative_information_score: 439.987, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.724, predictive_accuracy: 0.724, prior_entropy: 0.9931, recall: 0.724, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.056, scimark_benchmark: 1318.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3903, kb_relative_information_score: 87.112, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3484, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.6869, kappa: 0.3661, kb_relative_information_score: 366.9784, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6868, predictive_accuracy: 0.688, prior_entropy: 0.9931, recall: 0.688, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1228, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6078, kappa: 0.2067, kb_relative_information_score: 209.2351, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6105, predictive_accuracy: 0.614, prior_entropy: 0.9931, recall: 0.614, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9961, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6476, kappa: 0.2864, kb_relative_information_score: 219.2015, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6489, predictive_accuracy: 0.651, prior_entropy: 0.9931, recall: 0.651, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9491, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7572, kappa: 0.5085, kb_relative_information_score: 413.4939, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7574, predictive_accuracy: 0.758, prior_entropy: 0.9931, recall: 0.758, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8585, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7623, kappa: 0.519, kb_relative_information_score: 472.7864, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7625, predictive_accuracy: 0.763, prior_entropy: 0.9931, recall: 0.763, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8295, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7866, kappa: 0.5684, kb_relative_information_score: 555.5263, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7866, predictive_accuracy: 0.787, prior_entropy: 0.9931, recall: 0.787, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7764, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7925, kappa: 0.58, kb_relative_information_score: 570.6044, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7926, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8002, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7926, kappa: 0.5804, kb_relative_information_score: 583.4012, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7926, predictive_accuracy: 0.793, prior_entropy: 0.9931, recall: 0.793, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8282, scimark_benchmark: 909.1698, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7245, kappa: 0.4428, kb_relative_information_score: 417.4268, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7244, predictive_accuracy: 0.725, prior_entropy: 0.9931, recall: 0.725, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9126, scimark_benchmark: 939.5205,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7627, kappa: 0.5195, kb_relative_information_score: 390.3128, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7637, predictive_accuracy: 0.764, prior_entropy: 0.9931, recall: 0.764, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7916, scimark_benchmark: 925.4974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7636, kappa: 0.5213, kb_relative_information_score: 296.6009, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7649, predictive_accuracy: 0.765, prior_entropy: 0.9931, recall: 0.765, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8296, scimark_benchmark: 1347.5461, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7681, kappa: 0.5319, kb_relative_information_score: 478.0056, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7683, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8383, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7655, kappa: 0.5252, kb_relative_information_score: 388.6764, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.767, predictive_accuracy: 0.767, prior_entropy: 0.9931, recall: 0.767, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7883, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7855, kappa: 0.5661, kb_relative_information_score: 569.8747, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7856, predictive_accuracy: 0.786, prior_entropy: 0.9931, recall: 0.786, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8015, scimark_benchmark: 909.1698, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6467, kappa: 0.2892, kb_relative_information_score: 281.8017, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6487, predictive_accuracy: 0.646, prior_entropy: 0.9931, recall: 0.646, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.595, root_relative_squared_error: 1.196, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7477, kappa: 0.4897, kb_relative_information_score: 421.4839, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7475, predictive_accuracy: 0.748, prior_entropy: 0.9931, recall: 0.748, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9354, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7811, kappa: 0.5578, kb_relative_information_score: 440.3621, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7811, predictive_accuracy: 0.781, prior_entropy: 0.9931, recall: 0.781, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7966, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7811, kappa: 0.5578, kb_relative_information_score: 440.3621, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7811, predictive_accuracy: 0.781, prior_entropy: 0.9931, recall: 0.781, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7966, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6461, kappa: 0.2832, kb_relative_information_score: 300.4808, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6469, predictive_accuracy: 0.649, prior_entropy: 0.9931, recall: 0.649, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.0841, scimark_benchmark: 1341.2425, usercpu_time_millis: 200, usercpu_time_millis_testing: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7612, kappa: 0.5164, kb_relative_information_score: 293.5988, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7632, predictive_accuracy: 0.763, prior_entropy: 0.9931, recall: 0.763, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.826, scimark_benchmark: 1329.4762, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7136, kappa: 0.4233, kb_relative_information_score: 336.0484, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7152, predictive_accuracy: 0.713, prior_entropy: 0.9931, recall: 0.713, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9128, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7681, kappa: 0.5319, kb_relative_information_score: 478.0056, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7683, predictive_accuracy: 0.768, prior_entropy: 0.9931, recall: 0.768, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8383, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7702, kappa: 0.5361, kb_relative_information_score: 457.8609, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9931, recall: 0.77, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.835, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7417, kappa: 0.4771, kb_relative_information_score: 482.5754, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7466, predictive_accuracy: 0.745, prior_entropy: 0.9931, recall: 0.745, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.505, root_relative_squared_error: 1.015, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7938, kappa: 0.583, kb_relative_information_score: 568.1205, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7937, predictive_accuracy: 0.794, prior_entropy: 0.9931, recall: 0.794, relative_absolute_error: 0.4317, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.849, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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