OpenML
Supervised Classification on SVHN

Supervised Classification on SVHN

Task 168297 Supervised Classification SVHN 52 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9404, kappa: 0.9327, kb_relative_information_score: 92779.1374, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 3.2216, recall: 0.9404, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9274, kappa: 0.9178, kb_relative_information_score: 89233.4696, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9282, predictive_accuracy: 0.9273, prior_entropy: 3.2216, recall: 0.9273, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9412, kappa: 0.9335, kb_relative_information_score: 93007.8254, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9413, predictive_accuracy: 0.9412, prior_entropy: 3.2216, recall: 0.9412, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9377, kappa: 0.9296, kb_relative_information_score: 92540.3147, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9379, predictive_accuracy: 0.9377, prior_entropy: 3.2216, recall: 0.9377, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0, kb_relative_information_score: 265.9928, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, predictive_accuracy: 0.191, prior_entropy: 3.2216, recall: 0.191, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0, kb_relative_information_score: 262.9283, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, predictive_accuracy: 0.191, prior_entropy: 3.2216, recall: 0.191, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2975, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9506, kappa: 0.9442, kb_relative_information_score: 93752.7487, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9507, predictive_accuracy: 0.9506, prior_entropy: 3.2216, recall: 0.9506, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9584, kappa: 0.953, kb_relative_information_score: 94637.8344, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 3.2216, recall: 0.9584, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9238, kappa: 0.9133, kb_relative_information_score: 88699.2246, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9262, predictive_accuracy: 0.9233, prior_entropy: 3.2216, recall: 0.9233, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8755, kappa: 0.8521, kb_relative_information_score: 85273.4978, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8951, predictive_accuracy: 0.8692, prior_entropy: 3.2216, recall: 0.8692, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9337, kappa: 0.925, kb_relative_information_score: 91946.2425, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 3.2216, recall: 0.9337, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.4832, kappa: 0.4134, kb_relative_information_score: 41096.9997, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6384, predictive_accuracy: 0.4962, prior_entropy: 3.2216, recall: 0.4962, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.3689, kappa: 0.27, kb_relative_information_score: 34937.1079, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.7107, predictive_accuracy: 0.3893, prior_entropy: 3.2216, recall: 0.3893, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.3253, root_relative_squared_error: 1.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9394, kappa: 0.9315, kb_relative_information_score: 92747.6681, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 3.2216, recall: 0.9394, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.3236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.3194, kappa: 0.2749, kb_relative_information_score: 33720.347, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6195, predictive_accuracy: 0.3709, prior_entropy: 3.2216, recall: 0.3709, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.575, kappa: 0.5113, kb_relative_information_score: 48648.2854, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6679, predictive_accuracy: 0.5714, prior_entropy: 3.2216, recall: 0.5714, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.4094, kappa: 0.3336, kb_relative_information_score: 30996.2501, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.5216, predictive_accuracy: 0.4187, prior_entropy: 3.2216, recall: 0.4187, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.1867, kappa: 0.097, kb_relative_information_score: 14110.5908, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.236, predictive_accuracy: 0.2038, prior_entropy: 3.2216, recall: 0.2038, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.3478, root_relative_squared_error: 1.1695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.1532, kappa: 0.0526, kb_relative_information_score: 13319.0459, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.1625, predictive_accuracy: 0.1719, prior_entropy: 3.2216, recall: 0.1719, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.3469, root_relative_squared_error: 1.1663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.7809, kappa: 0.7415, kb_relative_information_score: 72971.5415, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8149, predictive_accuracy: 0.7744, prior_entropy: 3.2216, recall: 0.7744, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.6395, kappa: 0.5471, kb_relative_information_score: 51835.4298, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8012, predictive_accuracy: 0.6135, prior_entropy: 3.2216, recall: 0.6135, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0, kb_relative_information_score: 1200.8277, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, predictive_accuracy: 0.1867, prior_entropy: 3.2216, recall: 0.1867, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.3109, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.3108, kappa: 0.1901, kb_relative_information_score: 18509.5809, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.7647, predictive_accuracy: 0.3324, prior_entropy: 3.2216, recall: 0.3324, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8332, kappa: 0.8116, kb_relative_information_score: 80002.3926, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8337, predictive_accuracy: 0.8335, prior_entropy: 3.2216, recall: 0.8335, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.5134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.7785, kappa: 0.748, kb_relative_information_score: 73740.2351, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.7882, predictive_accuracy: 0.7775, prior_entropy: 3.2216, recall: 0.7775, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.826, kappa: 0.8022, kb_relative_information_score: 79227.3291, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.83, predictive_accuracy: 0.8249, prior_entropy: 3.2216, recall: 0.8249, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.5297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.1527, kappa: 0.077, kb_relative_information_score: 11674.8999, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.3963, predictive_accuracy: 0.1848, prior_entropy: 3.2216, recall: 0.1848, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.7524, kappa: 0.7155, kb_relative_information_score: 70617.3382, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.772, predictive_accuracy: 0.7474, prior_entropy: 3.2216, recall: 0.7474, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.1817, kappa: 0.1007, kb_relative_information_score: 8305.1159, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.1992, predictive_accuracy: 0.2288, prior_entropy: 3.2216, recall: 0.2288, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8362, kappa: 0.8102, kb_relative_information_score: 79659.36, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8525, predictive_accuracy: 0.8334, prior_entropy: 3.2216, recall: 0.8334, relative_absolute_error: 0.2433, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.5326, kappa: 0.4404, kb_relative_information_score: 46588.5059, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6642, predictive_accuracy: 0.5139, prior_entropy: 3.2216, recall: 0.5139, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.3066, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.635, kappa: 0.5875, kb_relative_information_score: 59489.1127, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.667, predictive_accuracy: 0.6367, prior_entropy: 3.2216, recall: 0.6367, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.7776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.596, kappa: 0.5294, kb_relative_information_score: 54439.7063, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6702, predictive_accuracy: 0.5868, prior_entropy: 3.2216, recall: 0.5868, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8735, kappa: 0.8572, kb_relative_information_score: 84083.4493, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8738, predictive_accuracy: 0.8737, prior_entropy: 3.2216, recall: 0.8737, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.4532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8425, kappa: 0.8221, kb_relative_information_score: 80969.0618, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8429, predictive_accuracy: 0.8429, prior_entropy: 3.2216, recall: 0.8429, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.5026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8162, kappa: 0.7932, kb_relative_information_score: 77089.9163, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8174, predictive_accuracy: 0.8174, prior_entropy: 3.2216, recall: 0.8174, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7831, kappa: 0.7535, kb_relative_information_score: 73652.1871, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.7887, predictive_accuracy: 0.7823, prior_entropy: 3.2216, recall: 0.7823, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.4577, kappa: 0.398, kb_relative_information_score: 38865.0451, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.4618, predictive_accuracy: 0.4713, prior_entropy: 3.2216, recall: 0.4713, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.1696, kappa: 0.1141, kb_relative_information_score: 10599.6567, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.2271, predictive_accuracy: 0.2558, prior_entropy: 3.2216, recall: 0.2558, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.6508, kappa: 0.5929, kb_relative_information_score: 55684.9237, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6968, predictive_accuracy: 0.6469, prior_entropy: 3.2216, recall: 0.6469, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.3601, kappa: 0.2867, kb_relative_information_score: 24343.8003, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.4139, predictive_accuracy: 0.39, prior_entropy: 3.2216, recall: 0.39, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.7293, kappa: 0.6949, kb_relative_information_score: 65491.4754, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.731, predictive_accuracy: 0.7314, prior_entropy: 3.2216, recall: 0.7314, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.6324, kappa: 0.5863, kb_relative_information_score: 53931.6593, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6483, predictive_accuracy: 0.6386, prior_entropy: 3.2216, recall: 0.6386, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.6768, kappa: 0.6323, kb_relative_information_score: 59362.6126, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.6982, predictive_accuracy: 0.6792, prior_entropy: 3.2216, recall: 0.6792, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.2067, kappa: 0.1306, kb_relative_information_score: 10281.1749, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.3609, predictive_accuracy: 0.2696, prior_entropy: 3.2216, recall: 0.2696, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.4792, kappa: 0.4076, kb_relative_information_score: 44067.7681, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.517, predictive_accuracy: 0.4844, prior_entropy: 3.2216, recall: 0.4844, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.4013, kappa: 0.3056, kb_relative_information_score: 34264.1795, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.4832, predictive_accuracy: 0.4027, prior_entropy: 3.2216, recall: 0.4027, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8332, kappa: 0.8119, kb_relative_information_score: 80581.0767, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.835, predictive_accuracy: 0.8341, prior_entropy: 3.2216, recall: 0.8341, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8353, kappa: 0.813, kb_relative_information_score: 81429.311, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8399, predictive_accuracy: 0.8349, prior_entropy: 3.2216, recall: 0.8349, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.7346, kappa: 0.6994, kb_relative_information_score: 70219.8958, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.7469, predictive_accuracy: 0.7361, prior_entropy: 3.2216, recall: 0.7361, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8541, kappa: 0.8358, kb_relative_information_score: 82896.1476, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, precision: 0.8565, predictive_accuracy: 0.8553, prior_entropy: 3.2216, recall: 0.8553, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, kappa: 0.0068, kb_relative_information_score: 1983.0843, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.1769, number_of_instances: 99289, predictive_accuracy: 0.1844, prior_entropy: 3.2216, recall: 0.1844, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.2974, root_mean_squared_error: 0.2977, root_relative_squared_error: 1.0009,

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