OpenML
Supervised Classification on CIFAR_10_small

Supervised Classification on CIFAR_10_small

Task 167133 Supervised Classification CIFAR_10_small 380 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7699, f_measure: 0.306, kappa: 0.2328, kb_relative_information_score: 5080.4183, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3049, predictive_accuracy: 0.3096, prior_entropy: 3.3218, recall: 0.3096, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.4362, kappa: 0.3767, kb_relative_information_score: 6696.1994, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4364, predictive_accuracy: 0.4391, prior_entropy: 3.3218, recall: 0.4391, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.4241, kappa: 0.3641, kb_relative_information_score: 4856.5224, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4239, predictive_accuracy: 0.4278, prior_entropy: 3.3218, recall: 0.4278, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.2532, kappa: 0.1741, kb_relative_information_score: 2212.855, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.254, predictive_accuracy: 0.2567, prior_entropy: 3.3218, recall: 0.2567, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.293, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.4297, kappa: 0.371, kb_relative_information_score: 5872.1168, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4298, predictive_accuracy: 0.434, prior_entropy: 3.3218, recall: 0.434, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.2925, kappa: 0.2306, kb_relative_information_score: 6742.8605, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4047, predictive_accuracy: 0.308, prior_entropy: 3.3218, recall: 0.308, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.3256, kappa: 0.2479, kb_relative_information_score: 6346.1387, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3341, predictive_accuracy: 0.3231, prior_entropy: 3.3218, recall: 0.3231, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.1081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.354, kappa: 0.2883, kb_relative_information_score: 7322.3741, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3548, predictive_accuracy: 0.3596, prior_entropy: 3.3218, recall: 0.3596, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 20.6793, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, predictive_accuracy: 0.1015, prior_entropy: 3.3218, recall: 0.1015, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.37, kappa: 0.3014, kb_relative_information_score: 5841.0825, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3717, predictive_accuracy: 0.3714, prior_entropy: 3.3218, recall: 0.3714, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.277, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.2545, kappa: 0.1918, kb_relative_information_score: 5466.9663, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2643, predictive_accuracy: 0.273, prior_entropy: 3.3218, recall: 0.273, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.2674, kappa: 0.2122, kb_relative_information_score: 5188.9303, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2981, predictive_accuracy: 0.2911, prior_entropy: 3.3218, recall: 0.2911, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.3577, kappa: 0.288, kb_relative_information_score: 5923.0709, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3602, predictive_accuracy: 0.3593, prior_entropy: 3.3218, recall: 0.3593, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 24.0513, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, predictive_accuracy: 0.1016, prior_entropy: 3.3218, recall: 0.1016, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.444, kappa: 0.3882, kb_relative_information_score: 4630.8558, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4443, predictive_accuracy: 0.4494, prior_entropy: 3.3218, recall: 0.4494, relative_absolute_error: 0.9059, 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: 0.4996, kb_relative_information_score: 1.4586, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 20000, predictive_accuracy: 0.1016, prior_entropy: 3.3218, recall: 0.1016, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.3607, kappa: 0.2906, kb_relative_information_score: 5895.9076, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3636, predictive_accuracy: 0.3616, prior_entropy: 3.3218, recall: 0.3616, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.2045, kappa: 0.1185, kb_relative_information_score: 3820.2, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2084, predictive_accuracy: 0.2067, prior_entropy: 3.3218, recall: 0.2067, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.3306, kappa: 0.2573, kb_relative_information_score: 5684.3824, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3372, predictive_accuracy: 0.3317, prior_entropy: 3.3218, recall: 0.3317, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.254, kappa: 0.1708, kb_relative_information_score: 4392.3523, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2543, predictive_accuracy: 0.2538, prior_entropy: 3.3218, recall: 0.2538, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.2877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.4477, kappa: 0.3919, kb_relative_information_score: 5916.9005, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4478, predictive_accuracy: 0.4528, prior_entropy: 3.3218, recall: 0.4528, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.2005, kappa: 0.1145, kb_relative_information_score: 3754.8315, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2043, predictive_accuracy: 0.2032, prior_entropy: 3.3218, recall: 0.2032, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3033, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.155, kappa: 0.0616, kb_relative_information_score: 3085.9139, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1555, predictive_accuracy: 0.1555, prior_entropy: 3.3218, recall: 0.1555, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3241, root_relative_squared_error: 1.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.1944, kappa: 0.1077, kb_relative_information_score: 3218.44, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2053, predictive_accuracy: 0.197, prior_entropy: 3.3218, recall: 0.197, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3016, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.139, kappa: 0.0809, kb_relative_information_score: 3846.2328, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.307, predictive_accuracy: 0.1728, prior_entropy: 3.3218, recall: 0.1728, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3683, root_relative_squared_error: 1.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.3001, kappa: 0.2239, kb_relative_information_score: 5114.6531, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3089, predictive_accuracy: 0.3016, prior_entropy: 3.3218, recall: 0.3016, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.2216, kappa: 0.1488, kb_relative_information_score: 4291.6214, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3155, predictive_accuracy: 0.2337, prior_entropy: 3.3218, recall: 0.2337, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3325, root_relative_squared_error: 1.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.2282, kappa: 0.1596, kb_relative_information_score: 4181.8888, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2859, predictive_accuracy: 0.244, prior_entropy: 3.3218, recall: 0.244, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.2962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.289, kappa: 0.2237, kb_relative_information_score: 4210.5289, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3308, predictive_accuracy: 0.3014, prior_entropy: 3.3218, recall: 0.3014, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.3181, kappa: 0.2455, kb_relative_information_score: 4907.4909, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3167, predictive_accuracy: 0.321, prior_entropy: 3.3218, recall: 0.321, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.9443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.4424, kappa: 0.3863, kb_relative_information_score: 5920.4605, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4422, predictive_accuracy: 0.4477, prior_entropy: 3.3218, recall: 0.4477, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.2424, kappa: 0.2009, kb_relative_information_score: 5091.6767, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4298, predictive_accuracy: 0.2814, prior_entropy: 3.3218, recall: 0.2814, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.3304, kappa: 0.2567, kb_relative_information_score: 5677.3516, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3382, predictive_accuracy: 0.3311, prior_entropy: 3.3218, recall: 0.3311, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.2291, kappa: 0.1436, kb_relative_information_score: 3878.6607, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2291, predictive_accuracy: 0.2293, prior_entropy: 3.3218, recall: 0.2293, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.3087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.1609, kappa: 0.0711, kb_relative_information_score: 2760.7186, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1664, predictive_accuracy: 0.1641, prior_entropy: 3.3218, recall: 0.1641, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3035, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.165, kappa: 0.0759, kb_relative_information_score: 2772.0291, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.1715, predictive_accuracy: 0.1684, prior_entropy: 3.3218, recall: 0.1684, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3034, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.344, kappa: 0.2721, kb_relative_information_score: 5857.5929, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3492, predictive_accuracy: 0.345, prior_entropy: 3.3218, recall: 0.345, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.2587, kappa: 0.2121, kb_relative_information_score: 5456.6641, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4338, predictive_accuracy: 0.2915, prior_entropy: 3.3218, recall: 0.2915, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.432, kappa: 0.373, kb_relative_information_score: 5902.5615, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4318, predictive_accuracy: 0.4357, prior_entropy: 3.3218, recall: 0.4357, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.3278, kappa: 0.2534, kb_relative_information_score: 5648.7132, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3343, predictive_accuracy: 0.3282, prior_entropy: 3.3218, recall: 0.3282, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.3911, kappa: 0.3292, kb_relative_information_score: 5939.6038, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3905, predictive_accuracy: 0.3963, prior_entropy: 3.3218, recall: 0.3963, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.4452, kappa: 0.3889, kb_relative_information_score: 5912.6887, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4449, predictive_accuracy: 0.4501, prior_entropy: 3.3218, recall: 0.4501, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.8996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.2421, kappa: 0.2, kb_relative_information_score: 5110.4778, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4277, predictive_accuracy: 0.2805, prior_entropy: 3.3218, recall: 0.2805, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.2914, kappa: 0.2342, kb_relative_information_score: 6153.3825, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4253, predictive_accuracy: 0.3112, prior_entropy: 3.3218, recall: 0.3112, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.3026, kappa: 0.2314, kb_relative_information_score: 5532.6269, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3729, predictive_accuracy: 0.3086, prior_entropy: 3.3218, recall: 0.3086, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.1886, kappa: 0.1601, kb_relative_information_score: 3807.1278, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4381, predictive_accuracy: 0.2446, prior_entropy: 3.3218, recall: 0.2446, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.3301, kappa: 0.2566, kb_relative_information_score: 5665.9751, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3371, predictive_accuracy: 0.331, prior_entropy: 3.3218, recall: 0.331, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.2925, kappa: 0.2306, kb_relative_information_score: 6742.8605, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4047, predictive_accuracy: 0.308, prior_entropy: 3.3218, recall: 0.308, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.4735, kappa: 0.4163, kb_relative_information_score: 8424.4444, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4731, predictive_accuracy: 0.4747, prior_entropy: 3.3218, recall: 0.4747, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.258, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.3026, kappa: 0.2314, kb_relative_information_score: 5532.6269, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3729, predictive_accuracy: 0.3086, prior_entropy: 3.3218, recall: 0.3086, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.3137, kappa: 0.2408, kb_relative_information_score: 4741.5964, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3126, predictive_accuracy: 0.3168, prior_entropy: 3.3218, recall: 0.3168, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.3137, kappa: 0.2408, kb_relative_information_score: 4741.5964, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3126, predictive_accuracy: 0.3168, prior_entropy: 3.3218, recall: 0.3168, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.4442, kappa: 0.3802, kb_relative_information_score: 8333.4941, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4482, predictive_accuracy: 0.4423, prior_entropy: 3.3218, recall: 0.4423, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.334, root_relative_squared_error: 1.1133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.4557, kappa: 0.3987, kb_relative_information_score: 7651.4805, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4548, predictive_accuracy: 0.4589, prior_entropy: 3.3218, recall: 0.4589, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1197.2496, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 20000, predictive_accuracy: 0.1016, prior_entropy: 3.3218, recall: 0.1016, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.454, kappa: 0.3966, kb_relative_information_score: 7500.4488, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.453, predictive_accuracy: 0.457, prior_entropy: 3.3218, recall: 0.457, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.3283, kappa: 0.2622, kb_relative_information_score: 6645.5088, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3539, predictive_accuracy: 0.3359, prior_entropy: 3.3218, recall: 0.3359, relative_absolute_error: 0.7809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1197.2496, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 20000, predictive_accuracy: 0.1016, prior_entropy: 3.3218, recall: 0.1016, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.4354, kappa: 0.3765, kb_relative_information_score: 6742.49, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4345, predictive_accuracy: 0.439, prior_entropy: 3.3218, recall: 0.439, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.2434, kappa: 0.1594, kb_relative_information_score: 4175.8636, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2436, predictive_accuracy: 0.2435, prior_entropy: 3.3218, recall: 0.2435, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.389, root_relative_squared_error: 1.2966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.2567, kappa: 0.174, kb_relative_information_score: 4450.5917, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2569, predictive_accuracy: 0.2566, prior_entropy: 3.3218, recall: 0.2566, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3856, root_relative_squared_error: 1.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.2842, kappa: 0.2359, kb_relative_information_score: 5482.7359, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.431, predictive_accuracy: 0.3128, prior_entropy: 3.3218, recall: 0.3128, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.2421, kappa: 0.2, kb_relative_information_score: 5110.4778, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4277, predictive_accuracy: 0.2805, prior_entropy: 3.3218, recall: 0.2805, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.2914, kappa: 0.2342, kb_relative_information_score: 6153.3825, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4253, predictive_accuracy: 0.3112, prior_entropy: 3.3218, recall: 0.3112, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.1886, kappa: 0.1601, kb_relative_information_score: 3807.1265, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4381, predictive_accuracy: 0.2446, prior_entropy: 3.3218, recall: 0.2446, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.3026, kappa: 0.2314, kb_relative_information_score: 5532.6269, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3729, predictive_accuracy: 0.3086, prior_entropy: 3.3218, recall: 0.3086, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.6654, kappa: 0.6283, kb_relative_information_score: 13382.1797, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.667, predictive_accuracy: 0.6655, prior_entropy: 3.3218, recall: 0.6655, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.659, kappa: 0.619, kb_relative_information_score: 13200.9275, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6629, predictive_accuracy: 0.6571, prior_entropy: 3.3218, recall: 0.6571, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.6443, kappa: 0.6041, kb_relative_information_score: 12794.0862, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.6539, predictive_accuracy: 0.6437, prior_entropy: 3.3218, recall: 0.6437, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.223, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.2674, kappa: 0.2122, kb_relative_information_score: 5188.9303, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.2981, predictive_accuracy: 0.2911, prior_entropy: 3.3218, recall: 0.2911, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.3273, kappa: 0.2537, kb_relative_information_score: 5656.79, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3347, predictive_accuracy: 0.3284, prior_entropy: 3.3218, recall: 0.3284, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.4556, kappa: 0.398, kb_relative_information_score: 7439.8181, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.455, predictive_accuracy: 0.4582, prior_entropy: 3.3218, recall: 0.4582, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.2835, kappa: 0.2198, kb_relative_information_score: 6783.1958, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4006, predictive_accuracy: 0.2983, prior_entropy: 3.3218, recall: 0.2983, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3125, root_relative_squared_error: 1.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.3255, kappa: 0.2511, kb_relative_information_score: 5649.2404, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3344, predictive_accuracy: 0.3261, prior_entropy: 3.3218, recall: 0.3261, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.3307, kappa: 0.2573, kb_relative_information_score: 5689.9367, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3382, predictive_accuracy: 0.3317, prior_entropy: 3.3218, recall: 0.3317, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.3848, kappa: 0.3261, kb_relative_information_score: 3269.2226, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3916, predictive_accuracy: 0.3936, prior_entropy: 3.3218, recall: 0.3936, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.4414, kappa: 0.3847, kb_relative_information_score: 5901.4794, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4409, predictive_accuracy: 0.4463, prior_entropy: 3.3218, recall: 0.4463, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.4283, kappa: 0.3692, kb_relative_information_score: 5888.9256, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.4274, predictive_accuracy: 0.4323, prior_entropy: 3.3218, recall: 0.4323, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.331, kappa: 0.2576, kb_relative_information_score: 5708.1193, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3381, predictive_accuracy: 0.3319, prior_entropy: 3.3218, recall: 0.3319, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9462,

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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Download this task directly in your environment and automatically upload your results

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

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