Task
Supervised Classification on GesturePhaseSegmentationProcessed

Supervised Classification on GesturePhaseSegmentationProcessed

Task 14969 Supervised Classification GesturePhaseSegmentationProcessed 15915 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.5166, kappa: 0.3804, kb_relative_information_score: 0.4256, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6117, predictive_accuracy: 0.5491, prior_entropy: 2.1934, recall: 0.5491, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4247, root_relative_squared_error: 1.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.5003, kappa: 0.3608, kb_relative_information_score: 0.41, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6095, predictive_accuracy: 0.5354, prior_entropy: 2.1934, recall: 0.5354, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, f_measure: 0.4798, kappa: 0.3356, kb_relative_information_score: 0.3895, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6166, predictive_accuracy: 0.5191, prior_entropy: 2.1934, recall: 0.5191, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.4896, kappa: 0.3474, kb_relative_information_score: 0.399, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6391, predictive_accuracy: 0.5286, prior_entropy: 2.1934, recall: 0.5286, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.1093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.4962, kappa: 0.3559, kb_relative_information_score: 0.4058, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6059, predictive_accuracy: 0.5321, prior_entropy: 2.1934, recall: 0.5321, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4326, root_relative_squared_error: 1.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.5124, kappa: 0.3873, kb_relative_information_score: 0.4258, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5352, predictive_accuracy: 0.5435, prior_entropy: 2.1934, recall: 0.5435, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.5212, kappa: 0.3943, kb_relative_information_score: 0.4322, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5403, predictive_accuracy: 0.5459, prior_entropy: 2.1934, recall: 0.5459, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.5078, kappa: 0.3812, kb_relative_information_score: 0.4206, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.53, predictive_accuracy: 0.5387, prior_entropy: 2.1934, recall: 0.5387, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.0973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5302, kappa: 0.4001, kb_relative_information_score: 0.4367, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5405, predictive_accuracy: 0.5457, prior_entropy: 2.1934, recall: 0.5457, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.4994, kappa: 0.3734, kb_relative_information_score: 0.4134, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5326, predictive_accuracy: 0.5367, prior_entropy: 2.1934, recall: 0.5367, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4305, root_relative_squared_error: 1.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.5384, kappa: 0.4077, kb_relative_information_score: 0.4444, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5458, predictive_accuracy: 0.5499, prior_entropy: 2.1934, recall: 0.5499, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.5033, kappa: 0.3684, kb_relative_information_score: 0.4092, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5185, predictive_accuracy: 0.5245, prior_entropy: 2.1934, recall: 0.5245, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.5317, kappa: 0.4026, kb_relative_information_score: 0.4392, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5434, predictive_accuracy: 0.548, prior_entropy: 2.1934, recall: 0.548, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.5392, kappa: 0.408, kb_relative_information_score: 0.4467, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5466, predictive_accuracy: 0.5479, prior_entropy: 2.1934, recall: 0.5479, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.3845, kappa: 0.2037, kb_relative_information_score: 0.2541, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.425, predictive_accuracy: 0.3832, prior_entropy: 2.1934, recall: 0.3832, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.5526, kappa: 0.4269, kb_relative_information_score: 0.4611, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5584, predictive_accuracy: 0.5688, prior_entropy: 2.1934, recall: 0.5688, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5433, kappa: 0.4215, kb_relative_information_score: 0.4561, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5674, predictive_accuracy: 0.5692, prior_entropy: 2.1934, recall: 0.5692, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.5486, kappa: 0.4274, kb_relative_information_score: 0.4608, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5719, predictive_accuracy: 0.5747, prior_entropy: 2.1934, recall: 0.5747, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4125, root_relative_squared_error: 1.0536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.542, kappa: 0.42, kb_relative_information_score: 0.455, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.566, predictive_accuracy: 0.5678, prior_entropy: 2.1934, recall: 0.5678, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.5491, kappa: 0.4263, kb_relative_information_score: 0.4603, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5642, predictive_accuracy: 0.5715, prior_entropy: 2.1934, recall: 0.5715, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.414, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.3361, kappa: 0.1324, kb_relative_information_score: 0.1978, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3568, predictive_accuracy: 0.3397, prior_entropy: 2.1934, recall: 0.3397, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.5625, kappa: 0.4368, kb_relative_information_score: 0.4714, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5654, predictive_accuracy: 0.5751, prior_entropy: 2.1934, recall: 0.5751, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.5545, kappa: 0.4295, kb_relative_information_score: 0.4633, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.561, predictive_accuracy: 0.5719, prior_entropy: 2.1934, recall: 0.5719, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.4069, kappa: 0.2382, kb_relative_information_score: 0.2885, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4291, predictive_accuracy: 0.4123, prior_entropy: 2.1934, recall: 0.4123, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.2385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.5245, kappa: 0.3857, kb_relative_information_score: 0.4271, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5293, predictive_accuracy: 0.5278, prior_entropy: 2.1934, recall: 0.5278, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4346, root_relative_squared_error: 1.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.4005, kappa: 0.2785, kb_relative_information_score: 0.1476, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5757, predictive_accuracy: 0.4838, prior_entropy: 2.1934, recall: 0.4838, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.3002, kappa: 0.0904, kb_relative_information_score: 0.1668, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3526, predictive_accuracy: 0.3158, prior_entropy: 2.1934, recall: 0.3158, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.3146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.4924, kappa: 0.3412, kb_relative_information_score: 0.3494, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4891, predictive_accuracy: 0.499, prior_entropy: 2.1934, recall: 0.499, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3929, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.2909, kappa: 0.0728, kb_relative_information_score: 0.154, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2846, predictive_accuracy: 0.3021, prior_entropy: 2.1934, recall: 0.3021, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5283, root_relative_squared_error: 1.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.5957, kappa: 0.4787, kb_relative_information_score: 0.4004, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6013, predictive_accuracy: 0.6087, prior_entropy: 2.1934, recall: 0.6087, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5211, kappa: 0.3748, kb_relative_information_score: 0.4159, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5193, predictive_accuracy: 0.5239, prior_entropy: 2.1934, recall: 0.5239, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.531, kappa: 0.3931, kb_relative_information_score: 0.3535, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5311, predictive_accuracy: 0.544, prior_entropy: 2.1934, recall: 0.544, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.6956, kappa: 0.6056, kb_relative_information_score: 0.6093, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7016, predictive_accuracy: 0.703, prior_entropy: 2.1934, recall: 0.703, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.1122, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2731, prior_entropy: 2.1934, recall: 0.2731, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.3775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.6099, kappa: 0.4945, kb_relative_information_score: 0.4675, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6091, predictive_accuracy: 0.6182, prior_entropy: 2.1934, recall: 0.6182, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.291, kappa: 0.0918, kb_relative_information_score: 0.1518, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.3171, predictive_accuracy: 0.2896, prior_entropy: 2.1934, recall: 0.2896, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.6605, kappa: 0.5585, kb_relative_information_score: 0.5751, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6593, predictive_accuracy: 0.6646, prior_entropy: 2.1934, recall: 0.6646, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.5209, kappa: 0.3743, kb_relative_information_score: 0.3712, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5336, predictive_accuracy: 0.5173, prior_entropy: 2.1934, recall: 0.5173, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.668, kappa: 0.5706, kb_relative_information_score: 0.54, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6738, predictive_accuracy: 0.677, prior_entropy: 2.1934, recall: 0.677, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.6287, kappa: 0.5173, kb_relative_information_score: 0.5481, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6267, predictive_accuracy: 0.6319, prior_entropy: 2.1934, recall: 0.6319, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 0.1179, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, predictive_accuracy: 0.2817, prior_entropy: 2.1934, recall: 0.2817, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.536, root_relative_squared_error: 1.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.5381, kappa: 0.4106, kb_relative_information_score: 0.3447, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5509, predictive_accuracy: 0.5612, prior_entropy: 2.1934, recall: 0.5612, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.701, kappa: 0.6128, kb_relative_information_score: 0.6238, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7082, predictive_accuracy: 0.7087, prior_entropy: 2.1934, recall: 0.7087, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.5498, kappa: 0.417, kb_relative_information_score: 0.3794, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5513, predictive_accuracy: 0.5616, prior_entropy: 2.1934, recall: 0.5616, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.8656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.688, kappa: 0.5951, kb_relative_information_score: 0.5863, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6932, predictive_accuracy: 0.6949, prior_entropy: 2.1934, recall: 0.6949, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.7489,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.7004, kappa: 0.6115, kb_relative_information_score: 0.6022, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7068, predictive_accuracy: 0.7076, prior_entropy: 2.1934, recall: 0.7076, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.1936, kappa: 0.0003, kb_relative_information_score: 0.0603, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.234, predictive_accuracy: 0.2019, prior_entropy: 2.1934, recall: 0.2019, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.565, root_relative_squared_error: 1.4434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.3381, kappa: 0.1503, kb_relative_information_score: 0.1976, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4071, predictive_accuracy: 0.3307, prior_entropy: 2.1934, recall: 0.3307, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.2784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.4479, kappa: 0.3193, kb_relative_information_score: 0.2408, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4918, predictive_accuracy: 0.5066, prior_entropy: 2.1934, recall: 0.5066, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.9082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.7039, kappa: 0.616, kb_relative_information_score: 0.6282, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7101, predictive_accuracy: 0.7108, prior_entropy: 2.1934, recall: 0.7108, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.7039, kappa: 0.616, kb_relative_information_score: 0.6282, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7101, predictive_accuracy: 0.7108, prior_entropy: 2.1934, recall: 0.7108, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.7114, kappa: 0.6259, kb_relative_information_score: 0.6407, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7176, predictive_accuracy: 0.7181, prior_entropy: 2.1934, recall: 0.7181, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2104, kappa: 0.0001, kb_relative_information_score: 0.0779, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.2338, predictive_accuracy: 0.2259, prior_entropy: 2.1934, recall: 0.2259, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.5565, root_relative_squared_error: 1.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7242, kappa: 0.6429, kb_relative_information_score: 0.6602, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7302, predictive_accuracy: 0.7309, prior_entropy: 2.1934, recall: 0.7309, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.656, kappa: 0.5527, kb_relative_information_score: 0.5825, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6547, predictive_accuracy: 0.6603, prior_entropy: 2.1934, recall: 0.6603, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.333, root_relative_squared_error: 0.8506,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs