Task
Supervised Classification on analcatdata_broadwaymult

Supervised Classification on analcatdata_broadwaymult

Task 4529 Supervised Classification analcatdata_broadwaymult 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0116, build_memory: 1856435859.7418, f_measure: 0.7652, kappa: 0.5124, kb_relative_information_score: 1064.3437, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7701, predictive_accuracy: 0.7698, prior_entropy: 0.9789, recall: 0.7698, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8101, scimark_benchmark: 935.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, build_cpu_time: 0.0271, build_memory: 3501039189.353, f_measure: 0.7644, kappa: 0.5108, kb_relative_information_score: 1069.8127, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7694, predictive_accuracy: 0.7691, prior_entropy: 0.9789, recall: 0.7691, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.398, root_relative_squared_error: 0.808, scimark_benchmark: 929.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 0.068, build_memory: 730673913.3614, f_measure: 0.7657, kappa: 0.5135, kb_relative_information_score: 1067.7587, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7711, predictive_accuracy: 0.7705, prior_entropy: 0.9789, recall: 0.7705, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8076, scimark_benchmark: 942.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 0.0753, build_memory: 568567167.8737, f_measure: 0.7657, kappa: 0.5135, kb_relative_information_score: 1067.7587, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7711, predictive_accuracy: 0.7705, prior_entropy: 0.9789, recall: 0.7705, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8076, scimark_benchmark: 921.2518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, build_cpu_time: 0.0914, build_memory: 854308126.8267, f_measure: 0.7657, kappa: 0.5135, kb_relative_information_score: 1069.5318, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7711, predictive_accuracy: 0.7705, prior_entropy: 0.9789, recall: 0.7705, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8071, scimark_benchmark: 943.7347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, build_cpu_time: 0.0894, build_memory: 755093129.3053, f_measure: 0.7657, kappa: 0.5135, kb_relative_information_score: 1069.5318, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7711, predictive_accuracy: 0.7705, prior_entropy: 0.9789, recall: 0.7705, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8071, scimark_benchmark: 923.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, build_cpu_time: 1.2587, build_memory: 3060791369.12, f_measure: 0.7556, kappa: 0.4935, kb_relative_information_score: 1026.6673, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7561, predictive_accuracy: 0.7579, prior_entropy: 0.9789, recall: 0.7579, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8234, scimark_benchmark: 941.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, build_cpu_time: 0.7508, build_memory: 1040900238.8828, f_measure: 0.7564, kappa: 0.4951, kb_relative_information_score: 1026.8011, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7568, predictive_accuracy: 0.7586, prior_entropy: 0.9789, recall: 0.7586, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8243, scimark_benchmark: 752.1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, build_cpu_time: 0.0459, build_memory: 1280650576.5614, f_measure: 0.7838, kappa: 0.5531, kb_relative_information_score: 1563.2091, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7835, predictive_accuracy: 0.7846, prior_entropy: 0.9789, recall: 0.7846, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8936, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, build_cpu_time: 0.0468, build_memory: 471423396.7074, f_measure: 0.7838, kappa: 0.5531, kb_relative_information_score: 1563.2091, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7835, predictive_accuracy: 0.7846, prior_entropy: 0.9789, recall: 0.7846, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8936, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, build_cpu_time: 0.1164, build_memory: 555834394.546, f_measure: 0.7857, kappa: 0.5571, kb_relative_information_score: 1548.9279, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7854, predictive_accuracy: 0.7863, prior_entropy: 0.9789, recall: 0.7863, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9064, scimark_benchmark: 947.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, build_cpu_time: 0.1946, build_memory: 1129667910.1446, f_measure: 0.7814, kappa: 0.5488, kb_relative_information_score: 1538.9479, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7811, predictive_accuracy: 0.7818, prior_entropy: 0.9789, recall: 0.7818, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9155, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, build_cpu_time: 0.3739, build_memory: 740054667.3656, f_measure: 0.7692, kappa: 0.5237, kb_relative_information_score: 1484.6691, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7689, predictive_accuracy: 0.7695, prior_entropy: 0.9789, recall: 0.7695, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9457, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, build_cpu_time: 0.8477, build_memory: 1666896173.1004, f_measure: 0.7698, kappa: 0.5255, kb_relative_information_score: 1478.7325, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7698, predictive_accuracy: 0.7698, prior_entropy: 0.9789, recall: 0.7698, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9544, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.7709, kappa: 0.5312, kb_relative_information_score: 1181.2415, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7738, predictive_accuracy: 0.7698, prior_entropy: 0.9789, recall: 0.7698, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8661, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.433, kb_relative_information_score: -0.6307, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.3434, predictive_accuracy: 0.586, prior_entropy: 0.9789, recall: 0.586, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0001, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.7544, kappa: 0.4956, kb_relative_information_score: 1384.218, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7556, predictive_accuracy: 0.7537, prior_entropy: 0.9789, recall: 0.7537, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0076, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.767, kappa: 0.5161, kb_relative_information_score: 1492.7302, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7728, predictive_accuracy: 0.7719, prior_entropy: 0.9789, recall: 0.7719, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9696, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.6705, kappa: 0.3656, kb_relative_information_score: 831.2996, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7194, predictive_accuracy: 0.6716, prior_entropy: 0.9789, recall: 0.6716, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8583, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.4012, kappa: -0.0489, kb_relative_information_score: -531.4391, mean_absolute_error: 0.5684, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4771, predictive_accuracy: 0.4316, prior_entropy: 0.9789, recall: 0.4316, relative_absolute_error: 1.1712, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.7539, root_relative_squared_error: 1.5307, scimark_benchmark: 1318.1432, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.6421, kappa: 0.258, kb_relative_information_score: 741.4921, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.6411, predictive_accuracy: 0.6456, prior_entropy: 0.9789, recall: 0.6456, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5953, root_relative_squared_error: 1.2086, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.7416, kappa: 0.4647, kb_relative_information_score: 1148.944, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7418, predictive_accuracy: 0.7439, prior_entropy: 0.9789, recall: 0.7439, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9791, scimark_benchmark: 1318.1432, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4531, kappa: 0.0207, kb_relative_information_score: 36.542, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.651, predictive_accuracy: 0.5923, prior_entropy: 0.9789, recall: 0.5923, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9946, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5315, kappa: 0.0708, kb_relative_information_score: 81.8929, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5514, predictive_accuracy: 0.5288, prior_entropy: 0.9789, recall: 0.5288, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5904, root_relative_squared_error: 1.1987, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5668, kappa: 0.1008, kb_relative_information_score: 186.9083, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5658, predictive_accuracy: 0.5786, prior_entropy: 0.9789, recall: 0.5786, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9905, scimark_benchmark: 1341.5768, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5292, kappa: 0.023, kb_relative_information_score: 64.4698, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5261, predictive_accuracy: 0.5358, prior_entropy: 0.9789, recall: 0.5358, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.1695, scimark_benchmark: 1318.5526, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6712, kappa: 0.3277, kb_relative_information_score: 883.3926, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.6747, predictive_accuracy: 0.6695, prior_entropy: 0.9789, recall: 0.6695, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5749, root_relative_squared_error: 1.1672, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7827, kappa: 0.5512, kb_relative_information_score: 1089.4334, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7824, predictive_accuracy: 0.7832, prior_entropy: 0.9789, recall: 0.7832, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8153, scimark_benchmark: 1339.3974, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7819, kappa: 0.5509, kb_relative_information_score: 1551.1598, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7821, predictive_accuracy: 0.7818, prior_entropy: 0.9789, recall: 0.7818, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9485, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.7613, kappa: 0.5044, kb_relative_information_score: 1465.6021, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7693, predictive_accuracy: 0.7674, prior_entropy: 0.9789, recall: 0.7674, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9792, scimark_benchmark: 930.5999, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.7796, kappa: 0.5441, kb_relative_information_score: 1544.8995, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7795, predictive_accuracy: 0.7807, prior_entropy: 0.9789, recall: 0.7807, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9507, scimark_benchmark: 1325.2092, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5761, kappa: 0.1199, kb_relative_information_score: 191.0188, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5746, predictive_accuracy: 0.5849, prior_entropy: 0.9789, recall: 0.5849, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0676, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7064, kappa: 0.3905, kb_relative_information_score: 624.1094, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7089, predictive_accuracy: 0.7119, prior_entropy: 0.9789, recall: 0.7119, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9258, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.773, kappa: 0.5311, kb_relative_information_score: 1087.6298, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7727, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8212, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7736, kappa: 0.5328, kb_relative_information_score: 1087.502, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7734, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8208, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.7722, kappa: 0.5299, kb_relative_information_score: 1083.5001, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.772, predictive_accuracy: 0.7726, prior_entropy: 0.9789, recall: 0.7726, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8231, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7715, kappa: 0.5288, kb_relative_information_score: 1084.0984, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7714, predictive_accuracy: 0.7716, prior_entropy: 0.9789, recall: 0.7716, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8259, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.767, kappa: 0.5161, kb_relative_information_score: 1058.6162, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7728, predictive_accuracy: 0.7719, prior_entropy: 0.9789, recall: 0.7719, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8123, scimark_benchmark: 895.5332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.6946, kappa: 0.4034, kb_relative_information_score: 687.6133, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7318, predictive_accuracy: 0.694, prior_entropy: 0.9789, recall: 0.694, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8989, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7617, kappa: 0.5233, kb_relative_information_score: 1002.2644, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7805, predictive_accuracy: 0.76, prior_entropy: 0.9789, recall: 0.76, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8184, scimark_benchmark: 1322.4968, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1314.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.5391, kappa: 0.0521, kb_relative_information_score: -171.1103, mean_absolute_error: 0.5169, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5401, predictive_accuracy: 0.5382, prior_entropy: 0.9789, recall: 0.5382, relative_absolute_error: 1.0651, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6344, root_relative_squared_error: 1.2879, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7648, kappa: 0.5119, kb_relative_information_score: 1477.1942, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.767, predictive_accuracy: 0.7681, prior_entropy: 0.9789, recall: 0.7681, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9285, scimark_benchmark: 1064.8317, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 1334.4761, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7745, kappa: 0.5365, kb_relative_information_score: 1078.8997, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7753, predictive_accuracy: 0.774, prior_entropy: 0.9789, recall: 0.774, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8285, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7325, kappa: 0.4491, kb_relative_information_score: 412.7195, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7659, predictive_accuracy: 0.7484, prior_entropy: 0.9789, recall: 0.7484, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8999, scimark_benchmark: 1345.7582, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7376, kappa: 0.4589, kb_relative_information_score: 409.344, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7681, predictive_accuracy: 0.7523, prior_entropy: 0.9789, recall: 0.7523, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9003, scimark_benchmark: 1342.2985, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1302.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3411, f_measure: 0.4162, kappa: -0.1974, kb_relative_information_score: -447.2533, mean_absolute_error: 0.5485, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4002, predictive_accuracy: 0.4568, prior_entropy: 0.9789, recall: 0.4568, relative_absolute_error: 1.1301, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.2028, scimark_benchmark: 1292.1375, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7747, kappa: 0.5349, kb_relative_information_score: 969.672, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7744, predictive_accuracy: 0.7751, prior_entropy: 0.9789, recall: 0.7751, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8125, scimark_benchmark: 1340.1351, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3777, f_measure: 0.383, kappa: -0.1704, kb_relative_information_score: -423.7865, mean_absolute_error: 0.549, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.4152, predictive_accuracy: 0.3888, prior_entropy: 0.9789, recall: 0.3888, relative_absolute_error: 1.1312, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6601, root_relative_squared_error: 1.3401, scimark_benchmark: 1318.6149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.775, kappa: 0.5407, kb_relative_information_score: 1150.8884, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7792, predictive_accuracy: 0.7737, prior_entropy: 0.9789, recall: 0.7737, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8286, scimark_benchmark: 1337.446, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7601, kappa: 0.5094, kb_relative_information_score: 1148.1046, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7632, predictive_accuracy: 0.7589, prior_entropy: 0.9789, recall: 0.7589, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8033, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.499, kappa: 0.0271, kb_relative_information_score: 347.0921, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5413, predictive_accuracy: 0.5793, prior_entropy: 0.9789, recall: 0.5793, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3168, scimark_benchmark: 933.1165, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7009, kappa: 0.3789, kb_relative_information_score: 729.2694, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.7049, predictive_accuracy: 0.7077, prior_entropy: 0.9789, recall: 0.7077, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8949, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.5405, kappa: 0.0558, kb_relative_information_score: -116.2703, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.4853, number_of_instances: 2850, precision: 0.5419, predictive_accuracy: 0.5393, prior_entropy: 0.9789, recall: 0.5393, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4926, root_mean_squared_error: 0.6321, root_relative_squared_error: 1.2834, scimark_benchmark: 933.1165,

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