Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25333 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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25333 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 2000.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.6873, kappa: 0.6031, kb_relative_information_score: 476.5865, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6814, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7019, scimark_benchmark: 1989.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.713, kappa: 0.6313, kb_relative_information_score: 537.1402, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6626, scimark_benchmark: 1976.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.6864, kappa: 0.59, kb_relative_information_score: 503.1035, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6824, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.7528, scimark_benchmark: 2015.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7019, kappa: 0.6043, kb_relative_information_score: 558.3486, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7007, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7783, scimark_benchmark: 2016.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.5164, kappa: 0.364, kb_relative_information_score: 359.1734, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5167, predictive_accuracy: 0.5225, prior_entropy: 1.9991, recall: 0.5225, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1287, scimark_benchmark: 2020.8694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.7356, kappa: 0.6533, kb_relative_information_score: 548.9544, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7329, predictive_accuracy: 0.74, prior_entropy: 1.9991, recall: 0.74, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6708, scimark_benchmark: 2017.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.6921, kappa: 0.5884, kb_relative_information_score: 531.2596, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.693, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9072, scimark_benchmark: 2026.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 926.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.7941, kappa: 0.7288, kb_relative_information_score: 189.3847, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7926, predictive_accuracy: 0.7967, prior_entropy: 1.9991, recall: 0.7967, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.8798, scimark_benchmark: 945.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7052, kappa: 0.6139, kb_relative_information_score: 536.0708, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7018, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7278, scimark_benchmark: 914.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7997, kappa: 0.7335, kb_relative_information_score: 632.7961, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7991, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5888, scimark_benchmark: 909.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 896.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7163, kappa: 0.6344, kb_relative_information_score: 544.3589, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7111, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6447, scimark_benchmark: 946.7494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7881, kappa: 0.7226, kb_relative_information_score: 358.9082, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7855, predictive_accuracy: 0.792, prior_entropy: 1.9991, recall: 0.792, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.796, scimark_benchmark: 944.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.7098, kappa: 0.6202, kb_relative_information_score: 548.4718, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7094, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.7272, scimark_benchmark: 942.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.7015, kappa: 0.6045, kb_relative_information_score: 538.963, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7011, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.7244, scimark_benchmark: 915.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.7393, kappa: 0.658, kb_relative_information_score: 547.2011, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.736, predictive_accuracy: 0.7435, prior_entropy: 1.9991, recall: 0.7435, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.6686, scimark_benchmark: 944.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 887.6948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.1445, kappa: 0.0145, kb_relative_information_score: 93.2279, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1508, predictive_accuracy: 0.2683, prior_entropy: 1.9991, recall: 0.2683, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0792, scimark_benchmark: 947.0712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8518, kappa: 0.8013, kb_relative_information_score: 380.9392, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8526, predictive_accuracy: 0.8511, prior_entropy: 1.9991, recall: 0.8511, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.332, root_relative_squared_error: 0.7668, scimark_benchmark: 948.2796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.1535, kappa: 0.0066, kb_relative_information_score: 96.4855, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1381, predictive_accuracy: 0.2624, prior_entropy: 1.9991, recall: 0.2624, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0733, scimark_benchmark: 909.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 337.6635, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8203, scimark_benchmark: 947.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.6925, kappa: 0.5901, kb_relative_information_score: 532.9532, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6928, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.7615, scimark_benchmark: 930.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.702, kappa: 0.6059, kb_relative_information_score: 554.0393, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7008, predictive_accuracy: 0.7045, prior_entropy: 1.9991, recall: 0.7045, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7684, scimark_benchmark: 908.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 946.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7163, kappa: 0.636, kb_relative_information_score: 542.6283, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.712, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.4469, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6495, scimark_benchmark: 945.5284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7083, kappa: 0.6106, kb_relative_information_score: 563.7609, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7087, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7772, scimark_benchmark: 941.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7211, kappa: 0.6518, kb_relative_information_score: 341.5626, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7233, predictive_accuracy: 0.7388, prior_entropy: 1.9991, recall: 0.7388, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.354, root_relative_squared_error: 0.8177, scimark_benchmark: 946.4524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.6882, kappa: 0.6075, kb_relative_information_score: 501.27, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6945, predictive_accuracy: 0.7057, prior_entropy: 1.9991, recall: 0.7057, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7365, scimark_benchmark: 941.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.6997, kappa: 0.6108, kb_relative_information_score: 515.5786, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6964, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.709, scimark_benchmark: 942.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8243, kappa: 0.7699, kb_relative_information_score: 374.6517, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8225, predictive_accuracy: 0.8274, prior_entropy: 1.9991, recall: 0.8274, relative_absolute_error: 0.7106, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7773, scimark_benchmark: 909.8773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8285, kappa: 0.773, kb_relative_information_score: 655.8048, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8275, predictive_accuracy: 0.8298, prior_entropy: 1.9991, recall: 0.8298, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.548, scimark_benchmark: 910.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7031, kappa: 0.6059, kb_relative_information_score: 558.425, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7019, predictive_accuracy: 0.7045, prior_entropy: 1.9991, recall: 0.7045, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.338, root_relative_squared_error: 0.7807, scimark_benchmark: 913.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.4358, kappa: 0.2559, kb_relative_information_score: 198.9675, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7171, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9702, scimark_benchmark: 943.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.3666, kappa: 0.2402, kb_relative_information_score: 269.8884, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4224, predictive_accuracy: 0.4255, prior_entropy: 1.9991, recall: 0.4255, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.1717, scimark_benchmark: 929.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7167, kappa: 0.6328, kb_relative_information_score: 543.6255, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7219, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.718, scimark_benchmark: 944.2156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.6896, kappa: 0.598, kb_relative_information_score: 494.1347, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6845, predictive_accuracy: 0.6986, prior_entropy: 1.9991, recall: 0.6986, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.307, root_relative_squared_error: 0.7092, scimark_benchmark: 889.3698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 914.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8427, kappa: 0.7903, kb_relative_information_score: 380.6704, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 1.9991, recall: 0.8428, relative_absolute_error: 0.7051, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7682, scimark_benchmark: 946.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8285, kappa: 0.773, kb_relative_information_score: 655.8048, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8275, predictive_accuracy: 0.8298, prior_entropy: 1.9991, recall: 0.8298, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.548, scimark_benchmark: 945.6211,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7031, kappa: 0.6059, kb_relative_information_score: 558.5721, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7019, predictive_accuracy: 0.7045, prior_entropy: 1.9991, recall: 0.7045, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7815, scimark_benchmark: 915.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7001, kappa: 0.6331, kb_relative_information_score: 326.1676, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7142, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8362, scimark_benchmark: 915.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.5008, kappa: 0.3431, kb_relative_information_score: 343.1438, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.499, predictive_accuracy: 0.5071, prior_entropy: 1.9991, recall: 0.5071, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.1467, scimark_benchmark: 922.7508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.6799, kappa: 0.5757, kb_relative_information_score: 553.5945, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7035, predictive_accuracy: 0.682, prior_entropy: 1.9991, recall: 0.682, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7739, scimark_benchmark: 906.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.7913, kappa: 0.7272, kb_relative_information_score: 642.9827, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7914, predictive_accuracy: 0.7955, prior_entropy: 1.9991, recall: 0.7955, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6413, scimark_benchmark: 911.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7379, kappa: 0.6675, kb_relative_information_score: 348.2957, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7366, predictive_accuracy: 0.7506, prior_entropy: 1.9991, recall: 0.7506, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8089, scimark_benchmark: 944.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 947.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7226, kappa: 0.6376, kb_relative_information_score: 536.9648, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7198, predictive_accuracy: 0.7281, prior_entropy: 1.9991, recall: 0.7281, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7069, scimark_benchmark: 946.5895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.6984, kappa: 0.6026, kb_relative_information_score: 522.6483, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6958, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.7132, scimark_benchmark: 917.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.7204, kappa: 0.6345, kb_relative_information_score: 538.1974, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7218, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.7055, scimark_benchmark: 944.3251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5746, f_measure: 0.2573, kappa: 0.1271, kb_relative_information_score: 117.4497, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3568, predictive_accuracy: 0.3511, prior_entropy: 1.9991, recall: 0.3511, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4575, root_relative_squared_error: 1.0567, scimark_benchmark: 910.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.7547, kappa: 0.6911, kb_relative_information_score: 345.0702, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7573, predictive_accuracy: 0.7683, prior_entropy: 1.9991, recall: 0.7683, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.8146, scimark_benchmark: 946.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7388, kappa: 0.6612, kb_relative_information_score: 348.2632, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7362, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8098, scimark_benchmark: 946.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.6868, kappa: 0.6139, kb_relative_information_score: 320.1043, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6975, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.8441, scimark_benchmark: 947.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.7014, kappa: 0.6122, kb_relative_information_score: 545.406, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.696, predictive_accuracy: 0.7092, prior_entropy: 1.9991, recall: 0.7092, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8232, scimark_benchmark: 948.8861,

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