OpenML
Supervised Classification on CIFAR_10

Supervised Classification on CIFAR_10

Task 167124 Supervised Classification CIFAR_10 160 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.7234, kappa: 0.6938, kb_relative_information_score: 42045.2743, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.7253, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.6606, kappa: 0.6233, kb_relative_information_score: 37962.7081, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.663, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.7238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.7253, kappa: 0.695, kb_relative_information_score: 43050.1664, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.7265, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.663, kappa: 0.6289, kb_relative_information_score: 40246.3978, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.6636, predictive_accuracy: 0.666, prior_entropy: 3.3219, recall: 0.666, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.588, kappa: 0.541, kb_relative_information_score: 35250.8557, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5968, predictive_accuracy: 0.5869, prior_entropy: 3.3219, recall: 0.5869, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.8162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.4265, kappa: 0.4096, kb_relative_information_score: 27708.4143, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5547, predictive_accuracy: 0.4686, prior_entropy: 3.3219, recall: 0.4686, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.624, kappa: 0.5876, kb_relative_information_score: 36606.3443, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.6284, predictive_accuracy: 0.6288, prior_entropy: 3.3219, recall: 0.6288, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.6471, kappa: 0.6082, kb_relative_information_score: 37684.5963, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.6473, predictive_accuracy: 0.6474, prior_entropy: 3.3219, recall: 0.6474, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.4603, kappa: 0.3994, kb_relative_information_score: 23038.1369, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5257, predictive_accuracy: 0.4595, prior_entropy: 3.3219, recall: 0.4595, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.261, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.444, kappa: 0.4133, kb_relative_information_score: 27121.1532, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5291, predictive_accuracy: 0.472, prior_entropy: 3.3219, recall: 0.472, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.26, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.5764, kappa: 0.5302, kb_relative_information_score: 32278.4541, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5834, predictive_accuracy: 0.5772, prior_entropy: 3.3219, recall: 0.5772, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.5205, kappa: 0.4768, kb_relative_information_score: 28578.6634, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5218, predictive_accuracy: 0.5292, prior_entropy: 3.3219, recall: 0.5292, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.39, kappa: 0.3169, kb_relative_information_score: 21980.4775, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4305, predictive_accuracy: 0.3852, prior_entropy: 3.3219, recall: 0.3852, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3094, kappa: 0.2321, kb_relative_information_score: 16599.827, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3681, predictive_accuracy: 0.3089, prior_entropy: 3.3219, recall: 0.3089, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.1861, kappa: 0.1109, kb_relative_information_score: 10689.638, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3049, predictive_accuracy: 0.1998, prior_entropy: 3.3219, recall: 0.1998, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.1832, kappa: 0.0948, kb_relative_information_score: 9675.8135, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.1945, predictive_accuracy: 0.1854, prior_entropy: 3.3219, recall: 0.1854, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.2971, kappa: 0.2146, kb_relative_information_score: 16278.6629, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3379, predictive_accuracy: 0.2932, prior_entropy: 3.3219, recall: 0.2932, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3348, root_relative_squared_error: 1.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.1408, kappa: 0.0487, kb_relative_information_score: 6994.693, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.1496, predictive_accuracy: 0.1439, prior_entropy: 3.3219, recall: 0.1439, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3853, root_relative_squared_error: 1.2843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.4772, kappa: 0.4269, kb_relative_information_score: 27867.5923, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4866, predictive_accuracy: 0.4843, prior_entropy: 3.3219, recall: 0.4843, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.4214, kappa: 0.3673, kb_relative_information_score: 24493.6027, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4411, predictive_accuracy: 0.4306, prior_entropy: 3.3219, recall: 0.4306, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, kappa: 0.0457, kb_relative_information_score: 8031.1178, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 60000, predictive_accuracy: 0.1411, prior_entropy: 3.3219, recall: 0.1411, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3113, root_relative_squared_error: 1.0377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.404, kappa: 0.3409, kb_relative_information_score: 22736.611, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4149, predictive_accuracy: 0.4068, prior_entropy: 3.3219, recall: 0.4068, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, kappa: 0.0429, kb_relative_information_score: 8332.1879, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.18, number_of_instances: 60000, predictive_accuracy: 0.1387, prior_entropy: 3.3219, recall: 0.1387, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3086, root_relative_squared_error: 1.0288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.4252, kappa: 0.3687, kb_relative_information_score: 24910.2948, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4267, predictive_accuracy: 0.4319, prior_entropy: 3.3219, recall: 0.4319, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.1531, kappa: 0.0745, kb_relative_information_score: 6784.9517, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.1814, predictive_accuracy: 0.1671, prior_entropy: 3.3219, recall: 0.1671, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.1215, kappa: 0.0476, kb_relative_information_score: 3780.8042, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.1468, predictive_accuracy: 0.1429, prior_entropy: 3.3219, recall: 0.1429, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.2583, kappa: 0.1946, kb_relative_information_score: 11521.1368, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2656, predictive_accuracy: 0.2752, prior_entropy: 3.3219, recall: 0.2752, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.3675, kappa: 0.3019, kb_relative_information_score: 18485.0826, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3831, predictive_accuracy: 0.3717, prior_entropy: 3.3219, recall: 0.3717, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.224, kappa: 0.1573, kb_relative_information_score: 9589.5281, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2348, predictive_accuracy: 0.2415, prior_entropy: 3.3219, recall: 0.2415, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.9724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.3943, kappa: 0.3337, kb_relative_information_score: 20135.6188, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3945, predictive_accuracy: 0.4003, prior_entropy: 3.3219, recall: 0.4003, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.3411, kappa: 0.2717, kb_relative_information_score: 16753.9609, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3538, predictive_accuracy: 0.3446, prior_entropy: 3.3219, recall: 0.3446, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.3343, kappa: 0.2606, kb_relative_information_score: 15816.2262, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3401, predictive_accuracy: 0.3346, prior_entropy: 3.3219, recall: 0.3346, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.3621, kappa: 0.2934, kb_relative_information_score: 18721.5349, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.393, predictive_accuracy: 0.3641, prior_entropy: 3.3219, recall: 0.3641, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.5549, kappa: 0.5076, kb_relative_information_score: 30694.0755, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5601, predictive_accuracy: 0.5568, prior_entropy: 3.3219, recall: 0.5568, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.4619, kappa: 0.4089, kb_relative_information_score: 25898.6478, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4658, predictive_accuracy: 0.468, prior_entropy: 3.3219, recall: 0.468, relative_absolute_error: 0.7129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.253, kappa: 0.1843, kb_relative_information_score: 13432.972, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2869, predictive_accuracy: 0.2659, prior_entropy: 3.3219, recall: 0.2659, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.2144, kappa: 0.1455, kb_relative_information_score: 11421.2049, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2673, predictive_accuracy: 0.231, prior_entropy: 3.3219, recall: 0.231, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.5275, kappa: 0.4793, kb_relative_information_score: 31622.4143, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5323, predictive_accuracy: 0.5314, prior_entropy: 3.3219, recall: 0.5314, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.3346, kappa: 0.2755, kb_relative_information_score: 20855.0361, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3721, predictive_accuracy: 0.348, prior_entropy: 3.3219, recall: 0.348, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.2547, kappa: 0.188, kb_relative_information_score: 15313.5307, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2905, predictive_accuracy: 0.2692, prior_entropy: 3.3219, recall: 0.2692, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.2291, kappa: 0.1519, kb_relative_information_score: 14195.4081, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2382, predictive_accuracy: 0.2367, prior_entropy: 3.3219, recall: 0.2367, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3079, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.1956, kappa: 0.1086, kb_relative_information_score: 11304.4789, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2075, predictive_accuracy: 0.1978, prior_entropy: 3.3219, recall: 0.1978, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.0488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.4941, kappa: 0.4423, kb_relative_information_score: 29488.8904, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4985, predictive_accuracy: 0.4981, prior_entropy: 3.3219, recall: 0.4981, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.2909, kappa: 0.2152, kb_relative_information_score: 16750.2457, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3342, predictive_accuracy: 0.2937, prior_entropy: 3.3219, recall: 0.2937, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3341, root_relative_squared_error: 1.1137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.2741, kappa: 0.2039, kb_relative_information_score: 15837.7527, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3268, predictive_accuracy: 0.2835, prior_entropy: 3.3219, recall: 0.2835, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3242, root_relative_squared_error: 1.0806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.4249, kappa: 0.3701, kb_relative_information_score: 23383.1517, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4256, predictive_accuracy: 0.4331, prior_entropy: 3.3219, recall: 0.4331, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.3552, kappa: 0.2938, kb_relative_information_score: 19198.1989, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.3542, predictive_accuracy: 0.3644, prior_entropy: 3.3219, recall: 0.3644, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.5114, kappa: 0.4692, kb_relative_information_score: 30199.7989, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5255, predictive_accuracy: 0.5223, prior_entropy: 3.3219, recall: 0.5223, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.4854, kappa: 0.4375, kb_relative_information_score: 28930.667, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.5062, predictive_accuracy: 0.4938, prior_entropy: 3.3219, recall: 0.4938, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.4609, kappa: 0.406, kb_relative_information_score: 24718.549, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4623, predictive_accuracy: 0.4654, prior_entropy: 3.3219, recall: 0.4654, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.4129, kappa: 0.3557, kb_relative_information_score: 22820.5683, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4113, predictive_accuracy: 0.4201, prior_entropy: 3.3219, recall: 0.4201, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.4665, kappa: 0.4131, kb_relative_information_score: 27279.6978, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4735, predictive_accuracy: 0.4718, prior_entropy: 3.3219, recall: 0.4718, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.4697, kappa: 0.4146, kb_relative_information_score: 27281.1297, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4791, predictive_accuracy: 0.4732, prior_entropy: 3.3219, recall: 0.4732, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.452, kappa: 0.3994, kb_relative_information_score: 25601.2536, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4518, predictive_accuracy: 0.4595, prior_entropy: 3.3219, recall: 0.4595, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.4409, kappa: 0.3841, kb_relative_information_score: 23531.6712, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4452, predictive_accuracy: 0.4457, prior_entropy: 3.3219, recall: 0.4457, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, kappa: 0.0619, kb_relative_information_score: 5656.1288, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.18, number_of_instances: 60000, predictive_accuracy: 0.1557, prior_entropy: 3.3219, recall: 0.1557, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.297, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.2653, kappa: 0.2072, kb_relative_information_score: 15280.2245, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.2974, predictive_accuracy: 0.2865, prior_entropy: 3.3219, recall: 0.2865, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3769, root_relative_squared_error: 1.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.4008, kappa: 0.3412, kb_relative_information_score: 21194.0638, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.4003, predictive_accuracy: 0.4071, prior_entropy: 3.3219, recall: 0.4071, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.4559, kappa: 0.4027, kb_relative_information_score: 17203.7731, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.459, predictive_accuracy: 0.4624, prior_entropy: 3.3219, recall: 0.4624, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, f_measure: 0.1805, kappa: 0.1388, kb_relative_information_score: 11364.9564, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.18, number_of_instances: 60000, precision: 0.1905, predictive_accuracy: 0.2249, prior_entropy: 3.3219, recall: 0.2249, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3937, root_relative_squared_error: 1.3124, usercpu_time_millis: 1044.86, usercpu_time_millis_testing: 24.42, usercpu_time_millis_training: 1020.44,

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

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

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