Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19084 runs submitted
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  • 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
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19084 Runs

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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: 2012.198,
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: 1987.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, f_measure: 0.2729, kappa: 0.0119, kb_relative_information_score: 211.2502, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4588, predictive_accuracy: 0.4304, prior_entropy: 1.5392, recall: 0.4304, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0704, scimark_benchmark: 2014.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.5126, kappa: 0.2418, kb_relative_information_score: 264.2041, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5125, predictive_accuracy: 0.518, prior_entropy: 1.5392, recall: 0.518, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.9445, scimark_benchmark: 947.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.553, kappa: 0.3079, kb_relative_information_score: 333.5794, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5541, predictive_accuracy: 0.5594, prior_entropy: 1.5392, recall: 0.5594, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9142, scimark_benchmark: 898.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.5223, kappa: 0.258, kb_relative_information_score: 224.3393, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5326, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9624, scimark_benchmark: 945.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.4895, kappa: 0.2126, kb_relative_information_score: 288.4239, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5003, predictive_accuracy: 0.4888, prior_entropy: 1.5392, recall: 0.4888, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9779, scimark_benchmark: 946.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5407, kappa: 0.2871, kb_relative_information_score: 354.6244, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5406, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9449, scimark_benchmark: 911.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.527, kappa: 0.2656, kb_relative_information_score: 349.0291, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5271, predictive_accuracy: 0.5295, prior_entropy: 1.5392, recall: 0.5295, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9407, scimark_benchmark: 944.0017,
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: 948.3118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.5181, kappa: 0.2826, kb_relative_information_score: 262.3036, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.6073, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9327, scimark_benchmark: 911.9761,
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: 947.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.5345, kappa: 0.2774, kb_relative_information_score: 375.2664, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5355, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9849, scimark_benchmark: 909.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.4767, kappa: 0.1887, kb_relative_information_score: 290.7437, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4761, predictive_accuracy: 0.4813, prior_entropy: 1.5392, recall: 0.4813, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.0465, scimark_benchmark: 946.7024,
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: 945.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.4865, kappa: 0.203, kb_relative_information_score: 316.5953, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4854, predictive_accuracy: 0.4881, prior_entropy: 1.5392, recall: 0.4881, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0304, scimark_benchmark: 943.3618,
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: 943.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.5455, kappa: 0.2947, kb_relative_information_score: 355.0708, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5551, predictive_accuracy: 0.5472, prior_entropy: 1.5392, recall: 0.5472, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9394, scimark_benchmark: 948.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.4707, kappa: 0.186, kb_relative_information_score: 298.0843, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.474, predictive_accuracy: 0.4827, prior_entropy: 1.5392, recall: 0.4827, relative_absolute_error: 0.8863, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4829, root_relative_squared_error: 1.0405, scimark_benchmark: 950.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.5345, kappa: 0.276, kb_relative_information_score: 345.7509, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5347, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.9282, scimark_benchmark: 948.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.4642, kappa: 0.1722, kb_relative_information_score: 285.9063, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4806, predictive_accuracy: 0.4881, prior_entropy: 1.5392, recall: 0.4881, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0393, scimark_benchmark: 911.1341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.5318, kappa: 0.2731, kb_relative_information_score: 343.4659, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5305, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9296, scimark_benchmark: 912.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.4846, kappa: 0.2019, kb_relative_information_score: 307.5769, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.485, predictive_accuracy: 0.4847, prior_entropy: 1.5392, recall: 0.4847, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0387, scimark_benchmark: 941.1642,
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: 945.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.463, kappa: 0.167, kb_relative_information_score: 281.6926, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4623, predictive_accuracy: 0.4657, prior_entropy: 1.5392, recall: 0.4657, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.016, scimark_benchmark: 948.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.5257, kappa: 0.2913, kb_relative_information_score: 269.2514, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.6224, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8622, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9313, scimark_benchmark: 923.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.4294, kappa: 0.1118, kb_relative_information_score: 249.2093, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4288, predictive_accuracy: 0.4372, prior_entropy: 1.5392, recall: 0.4372, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.068, scimark_benchmark: 948.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.4695, kappa: 0.1771, kb_relative_information_score: 225.0284, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4684, predictive_accuracy: 0.4711, prior_entropy: 1.5392, recall: 0.4711, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9853, scimark_benchmark: 949.3708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.4628, kappa: 0.1674, kb_relative_information_score: 284.4652, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4622, predictive_accuracy: 0.4637, prior_entropy: 1.5392, recall: 0.4637, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0533, scimark_benchmark: 945.3159,
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: 895.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.535, kappa: 0.2775, kb_relative_information_score: 345.0158, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5345, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9287, scimark_benchmark: 946.7404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.4788, kappa: 0.192, kb_relative_information_score: 311.0301, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4781, predictive_accuracy: 0.4813, prior_entropy: 1.5392, recall: 0.4813, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0335, scimark_benchmark: 944.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.5, kappa: 0.2272, kb_relative_information_score: 317.9045, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5012, predictive_accuracy: 0.499, prior_entropy: 1.5392, recall: 0.499, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0335, scimark_benchmark: 910.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.5002, kappa: 0.2243, kb_relative_information_score: 354.8287, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4984, predictive_accuracy: 0.5037, prior_entropy: 1.5392, recall: 0.5037, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9848, scimark_benchmark: 936.1795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.5506, kappa: 0.3052, kb_relative_information_score: 338.0972, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5656, predictive_accuracy: 0.5533, prior_entropy: 1.5392, recall: 0.5533, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9275, scimark_benchmark: 922.2002,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.464, kappa: 0.1704, kb_relative_information_score: 289.5276, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4636, predictive_accuracy: 0.4671, prior_entropy: 1.5392, recall: 0.4671, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0365, scimark_benchmark: 948.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.5475, kappa: 0.3, kb_relative_information_score: 348.1952, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5502, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.9166, scimark_benchmark: 944.8048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5847, f_measure: 0.4474, kappa: 0.1392, kb_relative_information_score: 271.0014, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4486, predictive_accuracy: 0.4569, prior_entropy: 1.5392, recall: 0.4569, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.489, root_relative_squared_error: 1.0537, scimark_benchmark: 944.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.5013, kappa: 0.2271, kb_relative_information_score: 365.2957, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4998, predictive_accuracy: 0.5037, prior_entropy: 1.5392, recall: 0.5037, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4676, root_relative_squared_error: 1.0074, scimark_benchmark: 910.1476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.5091, kappa: 0.24, kb_relative_information_score: 396.4052, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5092, predictive_accuracy: 0.5092, prior_entropy: 1.5392, recall: 0.5092, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0541, scimark_benchmark: 947.6341,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.4632, kappa: 0.1655, kb_relative_information_score: 240.3844, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4623, predictive_accuracy: 0.465, prior_entropy: 1.5392, recall: 0.465, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9953, scimark_benchmark: 946.6521,
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: 947.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.5067, kappa: 0.2472, kb_relative_information_score: 354.3401, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5212, predictive_accuracy: 0.5017, prior_entropy: 1.5392, recall: 0.5017, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9655, scimark_benchmark: 922.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.511, kappa: 0.2425, kb_relative_information_score: 397.5793, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5104, predictive_accuracy: 0.5119, prior_entropy: 1.5392, recall: 0.5119, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.0389, scimark_benchmark: 949.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.5118, kappa: 0.2564, kb_relative_information_score: 328.8286, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.527, predictive_accuracy: 0.5071, prior_entropy: 1.5392, recall: 0.5071, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9767, scimark_benchmark: 877.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.5501, kappa: 0.302, kb_relative_information_score: 363.0438, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.551, predictive_accuracy: 0.5513, prior_entropy: 1.5392, recall: 0.5513, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9377, scimark_benchmark: 912.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.5354, kappa: 0.2786, kb_relative_information_score: 341.6955, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5348, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9331, scimark_benchmark: 947.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.5199, kappa: 0.2846, kb_relative_information_score: 263.7162, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.61, predictive_accuracy: 0.539, prior_entropy: 1.5392, recall: 0.539, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9321, scimark_benchmark: 917.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.5097, kappa: 0.2424, kb_relative_information_score: 378.3826, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5096, predictive_accuracy: 0.5105, prior_entropy: 1.5392, recall: 0.5105, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.0074, scimark_benchmark: 946.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.5031, kappa: 0.2288, kb_relative_information_score: 352.1485, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5019, predictive_accuracy: 0.5051, prior_entropy: 1.5392, recall: 0.5051, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.5517, kappa: 0.3052, kb_relative_information_score: 368.9856, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5607, predictive_accuracy: 0.5533, prior_entropy: 1.5392, recall: 0.5533, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9484, scimark_benchmark: 923.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.4998, kappa: 0.2241, kb_relative_information_score: 332.7503, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5, predictive_accuracy: 0.5003, prior_entropy: 1.5392, recall: 0.5003, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0243, scimark_benchmark: 946.6837,
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: 947.5396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.4911, kappa: 0.2152, kb_relative_information_score: 312.6958, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4935, predictive_accuracy: 0.4895, prior_entropy: 1.5392, recall: 0.4895, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0345, scimark_benchmark: 947.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.5049, kappa: 0.2322, kb_relative_information_score: 336.4253, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5043, predictive_accuracy: 0.5058, prior_entropy: 1.5392, recall: 0.5058, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0196, scimark_benchmark: 946.3582,

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