Task
Supervised Classification on physionet_tachycardia

Supervised Classification on physionet_tachycardia

Task 7396 Supervised Classification physionet_tachycardia 380 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.9142, kappa: -0.0014, kb_relative_information_score: 98.5162, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9417, prior_entropy: 0.3425, recall: 0.9417, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.8967, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.9155, kappa: 0.02, kb_relative_information_score: 91.2896, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.908, predictive_accuracy: 0.9417, prior_entropy: 0.3425, recall: 0.9417, relative_absolute_error: 0.8121, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.9018, scimark_benchmark: 951.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.9193, kappa: 0.0663, kb_relative_information_score: 73.2041, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9333, predictive_accuracy: 0.9439, prior_entropy: 0.3425, recall: 0.9439, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.9079, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.9447, kappa: 0.4721, kb_relative_information_score: 418.6944, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9431, predictive_accuracy: 0.9468, prior_entropy: 0.3425, recall: 0.9468, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.978, scimark_benchmark: 892.0761, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.9468, kappa: 0.4903, kb_relative_information_score: 429.3382, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9452, predictive_accuracy: 0.9489, prior_entropy: 0.3425, recall: 0.9489, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.9565, scimark_benchmark: 951.5389, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.944, kappa: 0.4584, kb_relative_information_score: 453.6853, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9419, predictive_accuracy: 0.9468, prior_entropy: 0.3425, recall: 0.9468, relative_absolute_error: 0.4437, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.9247, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9521, kappa: 0.5359, kb_relative_information_score: 556.0321, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9506, predictive_accuracy: 0.9547, prior_entropy: 0.3425, recall: 0.9547, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.8405, scimark_benchmark: 892.0761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.9486, kappa: 0.4742, kb_relative_information_score: 280.7926, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9478, predictive_accuracy: 0.9547, prior_entropy: 0.3425, recall: 0.9547, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.8014, scimark_benchmark: 952.3393, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9594, kappa: 0.6098, kb_relative_information_score: 503.3364, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9584, predictive_accuracy: 0.9612, prior_entropy: 0.3425, recall: 0.9612, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.815, scimark_benchmark: 951.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.9459, kappa: 0.4451, kb_relative_information_score: 268.4019, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9447, predictive_accuracy: 0.9525, prior_entropy: 0.3425, recall: 0.9525, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.8072, scimark_benchmark: 892.0761, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.9447, kappa: 0.4407, kb_relative_information_score: 222.2672, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9425, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.189, root_relative_squared_error: 0.8114, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9594, kappa: 0.5924, kb_relative_information_score: 379.4971, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9594, predictive_accuracy: 0.9633, prior_entropy: 0.3425, recall: 0.9633, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.7489, scimark_benchmark: 946.6409, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.9405, kappa: 0.4216, kb_relative_information_score: 381.9792, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9381, predictive_accuracy: 0.9439, prior_entropy: 0.3425, recall: 0.9439, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.234, root_relative_squared_error: 1.0045, scimark_benchmark: 951.5389, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.9477, kappa: 0.4763, kb_relative_information_score: 195.2142, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9459, predictive_accuracy: 0.9525, prior_entropy: 0.3425, recall: 0.9525, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.8167, scimark_benchmark: 952.3393, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.9404, kappa: 0.3958, kb_relative_information_score: 198.162, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9376, predictive_accuracy: 0.9468, prior_entropy: 0.3425, recall: 0.9468, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.8299, scimark_benchmark: 892.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.943, kappa: 0.4475, kb_relative_information_score: 414.6159, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9408, predictive_accuracy: 0.946, prior_entropy: 0.3425, recall: 0.946, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.9834, scimark_benchmark: 892.0761, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.9398, kappa: 0.422, kb_relative_information_score: 271.3635, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9378, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9459, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.9426, kappa: 0.4402, kb_relative_information_score: 410.0819, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9403, predictive_accuracy: 0.946, prior_entropy: 0.3425, recall: 0.946, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9545, scimark_benchmark: 890.5596, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.9411, kappa: 0.4253, kb_relative_information_score: 404.8584, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9386, predictive_accuracy: 0.9446, prior_entropy: 0.3425, recall: 0.9446, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.9772, scimark_benchmark: 936.5648, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9345, kappa: 0.3516, kb_relative_information_score: 378.5477, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.931, predictive_accuracy: 0.9396, prior_entropy: 0.3425, recall: 0.9396, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9573, scimark_benchmark: 946.8777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9555, kappa: 0.5253, kb_relative_information_score: 552.3332, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9635, predictive_accuracy: 0.9633, prior_entropy: 0.3425, recall: 0.9633, relative_absolute_error: 0.4081, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.772, scimark_benchmark: 926.8585, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.9444, kappa: 0.3859, kb_relative_information_score: 415.9375, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9587, predictive_accuracy: 0.9568, prior_entropy: 0.3425, recall: 0.9568, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.8042, scimark_benchmark: 952.3393, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.9098, kappa: -0.0164, kb_relative_information_score: 187.4686, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8877, predictive_accuracy: 0.9331, prior_entropy: 0.3425, recall: 0.9331, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2587, root_relative_squared_error: 1.1102, scimark_benchmark: 892.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 951.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.9529, kappa: 0.5195, kb_relative_information_score: -1253.3434, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9527, predictive_accuracy: 0.9583, prior_entropy: 0.3425, recall: 0.9583, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.8428, scimark_benchmark: 892.0761, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, f_measure: 0.9297, kappa: 0.2055, kb_relative_information_score: 436.7226, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9425, predictive_accuracy: 0.9482, prior_entropy: 0.3425, recall: 0.9482, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.9769, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.9113, kappa: 0.2644, kb_relative_information_score: -311.0393, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9214, predictive_accuracy: 0.9029, prior_entropy: 0.3425, recall: 0.9029, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.3116, root_relative_squared_error: 1.3376, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9145, kb_relative_information_score: 341.7687, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2399, root_relative_squared_error: 1.0297, scimark_benchmark: 946.8777, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.9396, kappa: 0.4639, kb_relative_information_score: 297.5457, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9422, predictive_accuracy: 0.9374, prior_entropy: 0.3425, recall: 0.9374, relative_absolute_error: 0.5026, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.9586, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.9522, kappa: 0.5434, kb_relative_information_score: 352.5247, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9509, predictive_accuracy: 0.954, prior_entropy: 0.3425, recall: 0.954, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.8231, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.949, kappa: 0.5246, kb_relative_information_score: 377.6495, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9485, predictive_accuracy: 0.9496, prior_entropy: 0.3425, recall: 0.9496, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8884, scimark_benchmark: 936.5648, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.949, kappa: 0.5246, kb_relative_information_score: 377.6495, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9485, predictive_accuracy: 0.9496, prior_entropy: 0.3425, recall: 0.9496, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8884, scimark_benchmark: 946.8777, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.9496, kappa: 0.5286, kb_relative_information_score: 322.9519, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9489, predictive_accuracy: 0.9504, prior_entropy: 0.3425, recall: 0.9504, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.8745, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.9519, kappa: 0.5076, kb_relative_information_score: 554.8037, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9517, predictive_accuracy: 0.9576, prior_entropy: 0.3425, recall: 0.9576, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.8643, scimark_benchmark: 951.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.9519, kappa: 0.5076, kb_relative_information_score: 554.8037, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9517, predictive_accuracy: 0.9576, prior_entropy: 0.3425, recall: 0.9576, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.8643, scimark_benchmark: 926.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.9537, kappa: 0.5577, kb_relative_information_score: 494.8288, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9525, predictive_accuracy: 0.9554, prior_entropy: 0.3425, recall: 0.9554, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8241, scimark_benchmark: 952.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.9533, kappa: 0.6053, kb_relative_information_score: 364.6696, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9591, predictive_accuracy: 0.9496, prior_entropy: 0.3425, recall: 0.9496, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.8727, scimark_benchmark: 944.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.9533, kappa: 0.6053, kb_relative_information_score: 361.194, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9591, predictive_accuracy: 0.9496, prior_entropy: 0.3425, recall: 0.9496, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.203, root_relative_squared_error: 0.8713, scimark_benchmark: 926.8585,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.9568, kappa: 0.5577, kb_relative_information_score: 662.2381, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9577, predictive_accuracy: 0.9619, prior_entropy: 0.3425, recall: 0.9619, relative_absolute_error: 0.3344, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.8381, scimark_benchmark: 946.6409, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.9355, kappa: 0.4137, kb_relative_information_score: 211.2071, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9364, predictive_accuracy: 0.9345, prior_entropy: 0.3425, recall: 0.9345, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2559, root_relative_squared_error: 1.0982, scimark_benchmark: 932.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3969, f_measure: 0.9145, kb_relative_information_score: -111.026, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.8882, predictive_accuracy: 0.9424, prior_entropy: 0.3425, recall: 0.9424, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2334, root_relative_squared_error: 1.0017, scimark_benchmark: 941.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.9268, kappa: 0.3069, kb_relative_information_score: 152.5137, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.114, number_of_instances: 1390, precision: 0.9249, predictive_accuracy: 0.9288, prior_entropy: 0.3425, recall: 0.9288, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.233, root_mean_squared_error: 0.2525, root_relative_squared_error: 1.084, scimark_benchmark: 900.6775,

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