Task
Supervised Classification on energy-efficiency

Supervised Classification on energy-efficiency

Task 9989 Supervised Classification energy-efficiency 52 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.6806, kappa: 0.6752, kb_relative_information_score: 557.7891, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6766, predictive_accuracy: 0.6914, prior_entropy: 4.7233, recall: 0.6914, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.5163, kappa: 0.4947, kb_relative_information_score: 91.8391, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5536, predictive_accuracy: 0.5195, prior_entropy: 4.7233, recall: 0.5195, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.158, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.5741, kappa: 0.5592, kb_relative_information_score: 435.0007, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6063, predictive_accuracy: 0.5807, prior_entropy: 4.7233, recall: 0.5807, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.8122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.6259, kappa: 0.6238, kb_relative_information_score: 513.3723, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6268, predictive_accuracy: 0.6445, prior_entropy: 4.7233, recall: 0.6445, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.118, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.5098, kappa: 0.4892, kb_relative_information_score: 328.5682, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5469, predictive_accuracy: 0.5143, prior_entropy: 4.7233, recall: 0.5143, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.9398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.5445, kappa: 0.5395, kb_relative_information_score: 110.2907, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5529, predictive_accuracy: 0.5625, prior_entropy: 4.7233, recall: 0.5625, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.7135, kappa: 0.7003, kb_relative_information_score: 547.6575, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.7147, predictive_accuracy: 0.7148, prior_entropy: 4.7233, recall: 0.7148, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.111, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.5051, kappa: 0.5002, kb_relative_information_score: 126.8003, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5206, predictive_accuracy: 0.5234, prior_entropy: 4.7233, recall: 0.5234, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.677, kappa: 0.6645, kb_relative_information_score: 563.0182, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6789, predictive_accuracy: 0.681, prior_entropy: 4.7233, recall: 0.681, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.6717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.6027, kappa: 0.6, kb_relative_information_score: 448.0491, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6112, predictive_accuracy: 0.6198, prior_entropy: 4.7233, recall: 0.6198, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.7661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.5418, kappa: 0.5495, kb_relative_information_score: 87.6553, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5562, predictive_accuracy: 0.5729, prior_entropy: 4.7233, recall: 0.5729, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.5542, kappa: 0.5516, kb_relative_information_score: 508.2709, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5548, predictive_accuracy: 0.5742, prior_entropy: 4.7233, recall: 0.5742, relative_absolute_error: 0.5246, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.7519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.4721, kappa: 0.4834, kb_relative_information_score: 400.4106, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.477, predictive_accuracy: 0.5104, prior_entropy: 4.7233, recall: 0.5104, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.5016, kappa: 0.4992, kb_relative_information_score: 438.7233, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5235, predictive_accuracy: 0.5221, prior_entropy: 4.7233, recall: 0.5221, relative_absolute_error: 0.572, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.135, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.6819, kappa: 0.6713, kb_relative_information_score: 564.3299, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6839, predictive_accuracy: 0.6875, prior_entropy: 4.7233, recall: 0.6875, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.6772, kappa: 0.6808, kb_relative_information_score: 557.4254, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6801, predictive_accuracy: 0.6966, prior_entropy: 4.7233, recall: 0.6966, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4576, f_measure: 0.0169, kb_relative_information_score: 0.8085, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.0093, predictive_accuracy: 0.0964, prior_entropy: 4.7233, recall: 0.0964, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1604, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.5425, kappa: 0.5381, kb_relative_information_score: 510.4981, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5503, predictive_accuracy: 0.5612, prior_entropy: 4.7233, recall: 0.5612, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.7593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.574, kappa: 0.5693, kb_relative_information_score: 538.0885, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5716, predictive_accuracy: 0.5911, prior_entropy: 4.7233, recall: 0.5911, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.557, kappa: 0.559, kb_relative_information_score: 516.6647, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5538, predictive_accuracy: 0.5807, prior_entropy: 4.7233, recall: 0.5807, relative_absolute_error: 0.4996, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.6898, kappa: 0.685, kb_relative_information_score: 561.2695, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.7005, prior_entropy: 4.7233, recall: 0.7005, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.4912, kappa: 0.4822, kb_relative_information_score: 431.6379, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5315, predictive_accuracy: 0.5065, prior_entropy: 4.7233, recall: 0.5065, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1352, root_relative_squared_error: 0.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.7149, kappa: 0.7056, kb_relative_information_score: 573.8214, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.7156, predictive_accuracy: 0.7201, prior_entropy: 4.7233, recall: 0.7201, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.6481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.591, kappa: 0.5909, kb_relative_information_score: 151.4978, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.595, predictive_accuracy: 0.612, prior_entropy: 4.7233, recall: 0.612, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.5578, kappa: 0.5583, kb_relative_information_score: 90.6231, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5646, predictive_accuracy: 0.5807, prior_entropy: 4.7233, recall: 0.5807, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.5051, kappa: 0.5002, kb_relative_information_score: 431.7056, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5206, predictive_accuracy: 0.5234, prior_entropy: 4.7233, recall: 0.5234, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.5579, kappa: 0.5596, kb_relative_information_score: 90.9938, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5591, predictive_accuracy: 0.582, prior_entropy: 4.7233, recall: 0.582, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.4418, kappa: 0.4386, kb_relative_information_score: 85.5651, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.4557, predictive_accuracy: 0.4674, prior_entropy: 4.7233, recall: 0.4674, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.5094, kappa: 0.5041, kb_relative_information_score: 448.6531, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5281, predictive_accuracy: 0.5273, prior_entropy: 4.7233, recall: 0.5273, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.6898, kappa: 0.685, kb_relative_information_score: 561.2695, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.7005, prior_entropy: 4.7233, recall: 0.7005, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.5481, kappa: 0.5368, kb_relative_information_score: 468.3719, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5765, predictive_accuracy: 0.5599, prior_entropy: 4.7233, recall: 0.5599, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1254, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.3327, kappa: 0.3467, kb_relative_information_score: 250.9637, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.3215, predictive_accuracy: 0.3854, prior_entropy: 4.7233, recall: 0.3854, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1823, root_relative_squared_error: 1.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7281, kappa: 0.7179, kb_relative_information_score: 531.9041, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.7301, predictive_accuracy: 0.7318, prior_entropy: 4.7233, recall: 0.7318, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.517, kappa: 0.544, kb_relative_information_score: 394.6846, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.5079, predictive_accuracy: 0.5677, prior_entropy: 4.7233, recall: 0.5677, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.9533, usercpu_time_millis: 612756.424, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 612756.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.4107, kappa: 0.4109, kb_relative_information_score: 301.3989, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.3999, predictive_accuracy: 0.4427, prior_entropy: 4.7233, recall: 0.4427, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1736, root_relative_squared_error: 1.0824, usercpu_time_millis: 578.04, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 577.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.3348, kappa: 0.3762, kb_relative_information_score: 263.0536, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.3185, predictive_accuracy: 0.4154, prior_entropy: 4.7233, recall: 0.4154, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1778, root_relative_squared_error: 1.1086, usercpu_time_millis: 3.97, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 3.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7528, kappa: 0.7466, kb_relative_information_score: 556.7166, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.7516, predictive_accuracy: 0.7591, prior_entropy: 4.7233, recall: 0.7591, relative_absolute_error: 0.2529, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.7116, usercpu_time_millis: 159.886, usercpu_time_millis_testing: 12.09, usercpu_time_millis_training: 147.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.6366, kappa: 0.6524, kb_relative_information_score: 478.22, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6445, predictive_accuracy: 0.6706, prior_entropy: 4.7233, recall: 0.6706, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.8322, usercpu_time_millis: 333.591, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 333.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7098, kappa: 0.7, kb_relative_information_score: 520.0358, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.7104, predictive_accuracy: 0.7148, prior_entropy: 4.7233, recall: 0.7148, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.7742, usercpu_time_millis: 4.917, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 3.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.4238, kappa: 0.4212, kb_relative_information_score: 315.9127, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.4342, predictive_accuracy: 0.4505, prior_entropy: 4.7233, recall: 0.4505, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1723, root_relative_squared_error: 1.0747, usercpu_time_millis: 2.944, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 1.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.0216, kappa: 0.0014, kb_relative_information_score: 43.5349, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.0131, predictive_accuracy: 0.0938, prior_entropy: 4.7233, recall: 0.0938, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.2213, root_relative_squared_error: 1.3802, usercpu_time_millis: 4.944, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.3206, kappa: 0.3068, kb_relative_information_score: 234.3006, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.3809, predictive_accuracy: 0.3294, prior_entropy: 4.7233, recall: 0.3294, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1904, root_relative_squared_error: 1.1873, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 0.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.5372, kappa: 0.5525, kb_relative_information_score: 400.4255, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.53, predictive_accuracy: 0.5768, prior_entropy: 4.7233, recall: 0.5768, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.9432, usercpu_time_millis: 24.754, usercpu_time_millis_testing: 6.012, usercpu_time_millis_training: 18.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.6384, kappa: 0.6275, kb_relative_information_score: 468.8489, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6361, predictive_accuracy: 0.6458, prior_entropy: 4.7233, recall: 0.6458, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.8628, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.6075, kappa: 0.6005, kb_relative_information_score: 447.9118, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6237, predictive_accuracy: 0.6237, prior_entropy: 4.7233, recall: 0.6237, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.8894, usercpu_time_millis: 6.919, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 5.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.6898, kappa: 0.685, kb_relative_information_score: 510.1991, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6875, predictive_accuracy: 0.7005, prior_entropy: 4.7233, recall: 0.7005, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.7934, usercpu_time_millis: 4.738, usercpu_time_millis_testing: 1.905, usercpu_time_millis_training: 2.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.6065, kappa: 0.5918, kb_relative_information_score: 439.2723, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.6099, predictive_accuracy: 0.612, prior_entropy: 4.7233, recall: 0.612, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.9031, usercpu_time_millis: 4.473, usercpu_time_millis_testing: 1.643, usercpu_time_millis_training: 2.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.4227, kappa: 0.4231, kb_relative_information_score: 313.718, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.4227, predictive_accuracy: 0.4531, prior_entropy: 4.7233, recall: 0.4531, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1719, root_relative_squared_error: 1.0722, usercpu_time_millis: 19.083, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 18.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0169, kb_relative_information_score: 44.3259, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.0093, predictive_accuracy: 0.0964, prior_entropy: 4.7233, recall: 0.0964, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.221, root_relative_squared_error: 1.3782, usercpu_time_millis: 25.135, usercpu_time_millis_testing: 0.597, usercpu_time_millis_training: 24.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.1182, kappa: 0.0945, kb_relative_information_score: 121.6853, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.1298, predictive_accuracy: 0.1276, prior_entropy: 4.7233, recall: 0.1276, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.198, root_relative_squared_error: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.1182, kappa: 0.0945, kb_relative_information_score: 121.6853, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.1298, predictive_accuracy: 0.1276, prior_entropy: 4.7233, recall: 0.1276, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.198, root_relative_squared_error: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.1182, kappa: 0.0945, kb_relative_information_score: 121.6853, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.1298, predictive_accuracy: 0.1276, prior_entropy: 4.7233, recall: 0.1276, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.198, root_relative_squared_error: 1.235,

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