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File: /var/www/openml/index.php
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Function: require_once

OpenML
Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19083 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

19083 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.5067, kappa: 0.2345, kb_relative_information_score: 345.0465, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5062, predictive_accuracy: 0.5078, prior_entropy: 1.5392, recall: 0.5078, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0125, scimark_benchmark: 946.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.4639, kappa: 0.1693, kb_relative_information_score: 285.7012, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4771, predictive_accuracy: 0.4847, prior_entropy: 1.5392, recall: 0.4847, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.041, scimark_benchmark: 918.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5275, kappa: 0.2659, kb_relative_information_score: 342.6075, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5274, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9355, scimark_benchmark: 936.8774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.524, kappa: 0.2617, kb_relative_information_score: 335.8158, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5259, predictive_accuracy: 0.5255, prior_entropy: 1.5392, recall: 0.5255, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5114, kappa: 0.2406, kb_relative_information_score: 344.6438, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5109, predictive_accuracy: 0.5139, prior_entropy: 1.5392, recall: 0.5139, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4705, root_relative_squared_error: 1.0138, scimark_benchmark: 949.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5965, f_measure: 0.4353, kappa: 0.1433, kb_relative_information_score: 315.5969, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.46, predictive_accuracy: 0.4582, prior_entropy: 1.5392, recall: 0.4582, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.1235, scimark_benchmark: 949.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.2556, kb_relative_information_score: 113.7932, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9788, scimark_benchmark: 945.2712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.4872, kappa: 0.2072, kb_relative_information_score: 308.5638, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4869, predictive_accuracy: 0.4888, prior_entropy: 1.5392, recall: 0.4888, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0372, scimark_benchmark: 948.0537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.4825, kappa: 0.1996, kb_relative_information_score: 388.8137, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4818, predictive_accuracy: 0.4834, prior_entropy: 1.5392, recall: 0.4834, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5749, root_relative_squared_error: 1.2386, scimark_benchmark: 948.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.5425, kappa: 0.2906, kb_relative_information_score: 341.6892, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5469, predictive_accuracy: 0.5431, prior_entropy: 1.5392, recall: 0.5431, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9312, scimark_benchmark: 925.7468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2556, kb_relative_information_score: 172.9753, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0809, scimark_benchmark: 950.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.2556, kb_relative_information_score: 91.957, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 915.1196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.2556, kb_relative_information_score: 0.1997, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 923.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5025, kappa: 0.2296, kb_relative_information_score: 331.5498, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5028, predictive_accuracy: 0.5031, prior_entropy: 1.5392, recall: 0.5031, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.025, scimark_benchmark: 943.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.4694, kappa: 0.1756, kb_relative_information_score: 270.6347, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4681, predictive_accuracy: 0.4725, prior_entropy: 1.5392, recall: 0.4725, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.0065, scimark_benchmark: 948.8617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.5378, kappa: 0.2817, kb_relative_information_score: 345.1047, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5377, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9287, scimark_benchmark: 947.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.5222, kappa: 0.2873, kb_relative_information_score: 261.5539, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.6139, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.433, root_relative_squared_error: 0.933, scimark_benchmark: 944.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.4807, kappa: 0.1966, kb_relative_information_score: 306.1448, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4805, predictive_accuracy: 0.4854, prior_entropy: 1.5392, recall: 0.4854, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0374, scimark_benchmark: 943.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.2556, kb_relative_information_score: 0.1997, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 945.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.5349, kappa: 0.2776, kb_relative_information_score: 344.4124, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5341, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9304, scimark_benchmark: 947.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.2556, kb_relative_information_score: 0.1997, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 948.5508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4787, kappa: 0.1922, kb_relative_information_score: 301.901, mean_absolute_error: 0.3781, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4868, predictive_accuracy: 0.4949, prior_entropy: 1.5392, recall: 0.4949, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.033, scimark_benchmark: 949.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5706, f_measure: 0.4358, kappa: 0.1325, kb_relative_information_score: 252.0284, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4443, predictive_accuracy: 0.461, prior_entropy: 1.5392, recall: 0.461, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4921, root_relative_squared_error: 1.0602, scimark_benchmark: 976.8028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.4789, kappa: 0.195, kb_relative_information_score: 287.5473, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4794, predictive_accuracy: 0.4786, prior_entropy: 1.5392, recall: 0.4786, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0461, scimark_benchmark: 946.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, f_measure: 0.4179, kappa: 0.1445, kb_relative_information_score: 342.8562, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3702, predictive_accuracy: 0.482, prior_entropy: 1.5392, recall: 0.482, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5876, root_relative_squared_error: 1.2662, scimark_benchmark: 947.5417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.506, kappa: 0.2362, kb_relative_information_score: 403.685, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5071, predictive_accuracy: 0.5051, prior_entropy: 1.5392, recall: 0.5051, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0777, scimark_benchmark: 943.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.4239, kappa: 0.1456, kb_relative_information_score: 339.7215, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4177, predictive_accuracy: 0.4793, prior_entropy: 1.5392, recall: 0.4793, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.2695, scimark_benchmark: 947.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.5001, kappa: 0.2256, kb_relative_information_score: 364.1116, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4982, predictive_accuracy: 0.5037, prior_entropy: 1.5392, recall: 0.5037, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.468, root_relative_squared_error: 1.0083, scimark_benchmark: 922.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.4378, kappa: 0.1245, kb_relative_information_score: 264.3419, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4378, predictive_accuracy: 0.4454, prior_entropy: 1.5392, recall: 0.4454, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0583, scimark_benchmark: 947.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2556, kb_relative_information_score: 172.9753, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0809, scimark_benchmark: 940.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.495, kappa: 0.2173, kb_relative_information_score: 359.0706, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4932, predictive_accuracy: 0.4976, prior_entropy: 1.5392, recall: 0.4976, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0021, scimark_benchmark: 945.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.5527, kappa: 0.3063, kb_relative_information_score: 371.7795, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5545, predictive_accuracy: 0.5553, prior_entropy: 1.5392, recall: 0.5553, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9205, scimark_benchmark: 947.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.4656, kappa: 0.173, kb_relative_information_score: 254.2605, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4649, predictive_accuracy: 0.4671, prior_entropy: 1.5392, recall: 0.4671, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.0042, scimark_benchmark: 915.2246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5327, kappa: 0.2755, kb_relative_information_score: 369.5079, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5313, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.9581, scimark_benchmark: 905.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.4574, kappa: 0.1599, kb_relative_information_score: 244.4971, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4564, predictive_accuracy: 0.4596, prior_entropy: 1.5392, recall: 0.4596, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9994, scimark_benchmark: 915.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.484, kappa: 0.2013, kb_relative_information_score: 373.4398, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4829, predictive_accuracy: 0.4861, prior_entropy: 1.5392, recall: 0.4861, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0728, scimark_benchmark: 947.7339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.5531, kappa: 0.3068, kb_relative_information_score: 352.2119, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5563, predictive_accuracy: 0.5533, prior_entropy: 1.5392, recall: 0.5533, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9327, scimark_benchmark: 914.2637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.4899, kappa: 0.2107, kb_relative_information_score: 324.9233, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4908, predictive_accuracy: 0.4895, prior_entropy: 1.5392, recall: 0.4895, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0257, scimark_benchmark: 948.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.257, kappa: 0.001, kb_relative_information_score: 174.8519, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.2391, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0841, scimark_benchmark: 948.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.5021, kappa: 0.2255, kb_relative_information_score: 277.8056, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5012, predictive_accuracy: 0.5071, prior_entropy: 1.5392, recall: 0.5071, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9448, scimark_benchmark: 946.9436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.4557, kappa: 0.1527, kb_relative_information_score: 278.5636, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4575, predictive_accuracy: 0.4664, prior_entropy: 1.5392, recall: 0.4664, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4871, root_relative_squared_error: 1.0495, scimark_benchmark: 945.2555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.506, kappa: 0.2362, kb_relative_information_score: 403.685, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5071, predictive_accuracy: 0.5051, prior_entropy: 1.5392, recall: 0.5051, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0777, scimark_benchmark: 940.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.523, kappa: 0.2604, kb_relative_information_score: 379.3701, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5224, predictive_accuracy: 0.5241, prior_entropy: 1.5392, recall: 0.5241, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4706, root_relative_squared_error: 1.014, scimark_benchmark: 874.1188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.5198, kappa: 0.2574, kb_relative_information_score: 353.6454, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5205, predictive_accuracy: 0.5193, prior_entropy: 1.5392, recall: 0.5193, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4687, root_relative_squared_error: 1.01, scimark_benchmark: 911.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.5288, kappa: 0.268, kb_relative_information_score: 343.6714, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.528, predictive_accuracy: 0.5316, prior_entropy: 1.5392, recall: 0.5316, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9305, scimark_benchmark: 923.1777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.5338, kappa: 0.2754, kb_relative_information_score: 346.3022, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5335, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.928, scimark_benchmark: 935.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.4639, kappa: 0.1668, kb_relative_information_score: 230.5972, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4627, predictive_accuracy: 0.4664, prior_entropy: 1.5392, recall: 0.4664, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9857, scimark_benchmark: 946.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.5378, kappa: 0.2877, kb_relative_information_score: 340.2135, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5625, predictive_accuracy: 0.5431, prior_entropy: 1.5392, recall: 0.5431, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9345, scimark_benchmark: 881.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.4872, kappa: 0.2043, kb_relative_information_score: 370.6242, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.485, predictive_accuracy: 0.4915, prior_entropy: 1.5392, recall: 0.4915, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0763, scimark_benchmark: 929.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.4753, kappa: 0.1876, kb_relative_information_score: 310.7231, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4752, predictive_accuracy: 0.4813, prior_entropy: 1.5392, recall: 0.4813, relative_absolute_error: 0.8838, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0335, scimark_benchmark: 947.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.4705, kappa: 0.1779, kb_relative_information_score: 235.8118, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4693, predictive_accuracy: 0.4725, prior_entropy: 1.5392, recall: 0.4725, relative_absolute_error: 0.9144, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9881, scimark_benchmark: 942.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.5548, kappa: 0.3107, kb_relative_information_score: 361.0096, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5571, predictive_accuracy: 0.5587, prior_entropy: 1.5392, recall: 0.5587, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9169, scimark_benchmark: 949.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, f_measure: 0.4403, kappa: 0.1297, kb_relative_information_score: 259.1013, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4388, predictive_accuracy: 0.4454, prior_entropy: 1.5392, recall: 0.4454, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0649, scimark_benchmark: 948.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.524, kappa: 0.2617, kb_relative_information_score: 335.8158, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5259, predictive_accuracy: 0.5255, prior_entropy: 1.5392, recall: 0.5255, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9382, scimark_benchmark: 946.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.5434, kappa: 0.2925, kb_relative_information_score: 338.8799, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5535, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.931, scimark_benchmark: 949.1795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.4198, kappa: 0.1634, kb_relative_information_score: 138.4919, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4112, predictive_accuracy: 0.4759, prior_entropy: 1.5392, recall: 0.4759, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9608,

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