Task
Supervised Classification on artificial-characters

Supervised Classification on artificial-characters

Task 14964 Supervised Classification artificial-characters 10188 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.6745, kappa: 0.6368, kb_relative_information_score: 7256.1515, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6752, predictive_accuracy: 0.675, prior_entropy: 3.2849, recall: 0.675, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.6329, kappa: 0.5899, kb_relative_information_score: 7041.8664, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6341, predictive_accuracy: 0.633, prior_entropy: 3.2849, recall: 0.633, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.7673, kappa: 0.74, kb_relative_information_score: 8234.2796, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7677, predictive_accuracy: 0.7674, prior_entropy: 3.2849, recall: 0.7674, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7284, kappa: 0.697, kb_relative_information_score: 7843.7849, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7291, predictive_accuracy: 0.7289, prior_entropy: 3.2849, recall: 0.7289, relative_absolute_error: 0.3212, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.7494, kappa: 0.72, kb_relative_information_score: 8075.9541, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7501, predictive_accuracy: 0.7495, prior_entropy: 3.2849, recall: 0.7495, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.6424, kappa: 0.6, kb_relative_information_score: 7116.9551, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6449, predictive_accuracy: 0.6421, prior_entropy: 3.2849, recall: 0.6421, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.6456, kappa: 0.6046, kb_relative_information_score: 7058.9407, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6465, predictive_accuracy: 0.646, prior_entropy: 3.2849, recall: 0.646, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7354, kappa: 0.7045, kb_relative_information_score: 7891.9183, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7365, predictive_accuracy: 0.7356, prior_entropy: 3.2849, recall: 0.7356, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.7003, kappa: 0.6661, kb_relative_information_score: 7575.4262, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7003, predictive_accuracy: 0.7012, prior_entropy: 3.2849, recall: 0.7012, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.7436, kappa: 0.7137, kb_relative_information_score: 8031.0359, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7441, predictive_accuracy: 0.7438, prior_entropy: 3.2849, recall: 0.7438, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.674, kappa: 0.6363, kb_relative_information_score: 7256.4994, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6747, predictive_accuracy: 0.6745, prior_entropy: 3.2849, recall: 0.6745, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7592, kappa: 0.7309, kb_relative_information_score: 8201.3234, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7602, predictive_accuracy: 0.7592, prior_entropy: 3.2849, recall: 0.7592, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7463, kappa: 0.7168, kb_relative_information_score: 8071.0693, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7477, predictive_accuracy: 0.7466, prior_entropy: 3.2849, recall: 0.7466, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.6121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.6504, kappa: 0.6099, kb_relative_information_score: 7101.5365, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6513, predictive_accuracy: 0.6508, prior_entropy: 3.2849, recall: 0.6508, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.7202, kappa: 0.6875, kb_relative_information_score: 7792.0958, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7211, predictive_accuracy: 0.7204, prior_entropy: 3.2849, recall: 0.7204, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6824, kappa: 0.6459, kb_relative_information_score: 7332.045, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6827, predictive_accuracy: 0.6832, prior_entropy: 3.2849, recall: 0.6832, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.643, kappa: 0.6008, kb_relative_information_score: 7118.0331, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6455, predictive_accuracy: 0.6428, prior_entropy: 3.2849, recall: 0.6428, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.7011, kappa: 0.667, kb_relative_information_score: 7599.593, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7011, predictive_accuracy: 0.702, prior_entropy: 3.2849, recall: 0.702, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.6745, kappa: 0.6368, kb_relative_information_score: 7257.034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6752, predictive_accuracy: 0.675, prior_entropy: 3.2849, recall: 0.675, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7594, kappa: 0.7311, kb_relative_information_score: 8202.321, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7604, predictive_accuracy: 0.7593, prior_entropy: 3.2849, recall: 0.7593, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.7345, kappa: 0.7035, kb_relative_information_score: 7942.7441, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7351, predictive_accuracy: 0.7347, prior_entropy: 3.2849, recall: 0.7347, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.6964, kappa: 0.6615, kb_relative_information_score: 7419.5154, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6963, predictive_accuracy: 0.6971, prior_entropy: 3.2849, recall: 0.6971, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.6476, kappa: 0.6065, kb_relative_information_score: 7072.3591, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6485, predictive_accuracy: 0.6478, prior_entropy: 3.2849, recall: 0.6478, relative_absolute_error: 0.4422, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6776, kappa: 0.6399, kb_relative_information_score: 7385.6898, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6791, predictive_accuracy: 0.6777, prior_entropy: 3.2849, recall: 0.6777, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.6353, kappa: 0.5935, kb_relative_information_score: 6992.8072, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6358, predictive_accuracy: 0.6362, prior_entropy: 3.2849, recall: 0.6362, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.648, kappa: 0.6069, kb_relative_information_score: 7076.248, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6488, predictive_accuracy: 0.6482, prior_entropy: 3.2849, recall: 0.6482, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.6971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.6642, kappa: 0.6251, kb_relative_information_score: 7210.8687, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6652, predictive_accuracy: 0.6645, prior_entropy: 3.2849, recall: 0.6645, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.6878, kappa: 0.6522, kb_relative_information_score: 7386.8041, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6879, predictive_accuracy: 0.6889, prior_entropy: 3.2849, recall: 0.6889, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.6486, kappa: 0.6069, kb_relative_information_score: 7163.0546, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6506, predictive_accuracy: 0.6482, prior_entropy: 3.2849, recall: 0.6482, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.7014, kappa: 0.6664, kb_relative_information_score: 7620.9047, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7022, predictive_accuracy: 0.7014, prior_entropy: 3.2849, recall: 0.7014, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.7531, kappa: 0.7241, kb_relative_information_score: 8451.6946, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7536, predictive_accuracy: 0.7531, prior_entropy: 3.2849, recall: 0.7531, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.5759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.7727, kappa: 0.7461, kb_relative_information_score: 8471.5888, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7734, predictive_accuracy: 0.7728, prior_entropy: 3.2849, recall: 0.7728, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.7581, kappa: 0.7296, kb_relative_information_score: 8388.9063, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7587, predictive_accuracy: 0.758, prior_entropy: 3.2849, recall: 0.758, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7, kappa: 0.665, kb_relative_information_score: 7568.9815, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.701, predictive_accuracy: 0.7001, prior_entropy: 3.2849, recall: 0.7001, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.6314, kappa: 0.5886, kb_relative_information_score: 7019.3903, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6329, predictive_accuracy: 0.6318, prior_entropy: 3.2849, recall: 0.6318, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6405, kappa: 0.5993, kb_relative_information_score: 7016.0944, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.641, predictive_accuracy: 0.6413, prior_entropy: 3.2849, recall: 0.6413, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.6429, kappa: 0.6006, kb_relative_information_score: 7118.719, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6453, predictive_accuracy: 0.6426, prior_entropy: 3.2849, recall: 0.6426, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.6448, kappa: 0.6037, kb_relative_information_score: 7056.2309, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6456, predictive_accuracy: 0.6452, prior_entropy: 3.2849, recall: 0.6452, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.6397, kappa: 0.597, kb_relative_information_score: 7082.6229, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6417, predictive_accuracy: 0.6395, prior_entropy: 3.2849, recall: 0.6395, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6332, kappa: 0.5902, kb_relative_information_score: 7043.413, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6343, predictive_accuracy: 0.6333, prior_entropy: 3.2849, recall: 0.6333, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.6773, kappa: 0.6403, kb_relative_information_score: 7309.5523, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6776, predictive_accuracy: 0.6782, prior_entropy: 3.2849, recall: 0.6782, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6329, kappa: 0.5899, kb_relative_information_score: 7043.2806, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.634, predictive_accuracy: 0.633, prior_entropy: 3.2849, recall: 0.633, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.7012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.6647, kappa: 0.6257, kb_relative_information_score: 7211.6251, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6657, predictive_accuracy: 0.665, prior_entropy: 3.2849, recall: 0.665, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6328, kappa: 0.5899, kb_relative_information_score: 7042.3262, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.634, predictive_accuracy: 0.633, prior_entropy: 3.2849, recall: 0.633, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.7373, kappa: 0.7067, kb_relative_information_score: 7936.5204, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7379, predictive_accuracy: 0.7375, prior_entropy: 3.2849, recall: 0.7375, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.6187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6406, kappa: 0.5994, kb_relative_information_score: 7014.9427, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.641, predictive_accuracy: 0.6414, prior_entropy: 3.2849, recall: 0.6414, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7186, kappa: 0.6865, kb_relative_information_score: 7770.5871, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7191, predictive_accuracy: 0.7194, prior_entropy: 3.2849, recall: 0.7194, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6367,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.7275, kappa: 0.6963, kb_relative_information_score: 7907.3397, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.728, predictive_accuracy: 0.7282, prior_entropy: 3.2849, recall: 0.7282, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.6785, kappa: 0.6416, kb_relative_information_score: 7314.6022, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6787, predictive_accuracy: 0.6794, prior_entropy: 3.2849, recall: 0.6794, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.6473, kappa: 0.6062, kb_relative_information_score: 7074.9528, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6481, predictive_accuracy: 0.6475, prior_entropy: 3.2849, recall: 0.6475, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.6448, kappa: 0.6037, kb_relative_information_score: 7054.4341, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6456, predictive_accuracy: 0.6452, prior_entropy: 3.2849, recall: 0.6452, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.696, kappa: 0.6611, kb_relative_information_score: 7420.2094, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6959, predictive_accuracy: 0.6967, prior_entropy: 3.2849, recall: 0.6967, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.6425, kappa: 0.6001, kb_relative_information_score: 7117.2817, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.645, predictive_accuracy: 0.6422, prior_entropy: 3.2849, recall: 0.6422, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7345, kappa: 0.7035, kb_relative_information_score: 7891.0841, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7358, predictive_accuracy: 0.7347, prior_entropy: 3.2849, recall: 0.7347, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6778, kappa: 0.6401, kb_relative_information_score: 7383.8843, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6792, predictive_accuracy: 0.6779, prior_entropy: 3.2849, recall: 0.6779, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.674, kappa: 0.6361, kb_relative_information_score: 7253.5567, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6747, predictive_accuracy: 0.6744, prior_entropy: 3.2849, recall: 0.6744, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.68,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.6506, kappa: 0.609, kb_relative_information_score: 7181.2598, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6525, predictive_accuracy: 0.65, prior_entropy: 3.2849, recall: 0.65, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7613, kappa: 0.7333, kb_relative_information_score: 8213.6822, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7623, predictive_accuracy: 0.7613, prior_entropy: 3.2849, recall: 0.7613, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.6875, kappa: 0.6519, kb_relative_information_score: 7379.5445, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6876, predictive_accuracy: 0.6886, prior_entropy: 3.2849, recall: 0.6886, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.6486, kappa: 0.6069, kb_relative_information_score: 7162.7389, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6507, predictive_accuracy: 0.6482, prior_entropy: 3.2849, recall: 0.6482, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.7007, kappa: 0.6664, kb_relative_information_score: 7595.7441, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7007, predictive_accuracy: 0.7015, prior_entropy: 3.2849, recall: 0.7015, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.6824, kappa: 0.6459, kb_relative_information_score: 7331.0003, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6827, predictive_accuracy: 0.6832, prior_entropy: 3.2849, recall: 0.6832, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.6399, kappa: 0.5973, kb_relative_information_score: 7079.1308, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6419, predictive_accuracy: 0.6397, prior_entropy: 3.2849, recall: 0.6397, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.6478, kappa: 0.6067, kb_relative_information_score: 7074.1044, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6487, predictive_accuracy: 0.648, prior_entropy: 3.2849, recall: 0.648, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.6997, kappa: 0.6647, kb_relative_information_score: 7566.1943, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7008, predictive_accuracy: 0.6998, prior_entropy: 3.2849, recall: 0.6998, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6779, kappa: 0.6402, kb_relative_information_score: 7385.681, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6793, predictive_accuracy: 0.678, prior_entropy: 3.2849, recall: 0.678, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6828, kappa: 0.6463, kb_relative_information_score: 7335.8986, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.683, predictive_accuracy: 0.6835, prior_entropy: 3.2849, recall: 0.6835, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.6482, kappa: 0.6064, kb_relative_information_score: 7158.9172, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6502, predictive_accuracy: 0.6478, prior_entropy: 3.2849, recall: 0.6478, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.7295, kappa: 0.6984, kb_relative_information_score: 7771.0586, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.73, predictive_accuracy: 0.7301, prior_entropy: 3.2849, recall: 0.7301, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.6883, kappa: 0.6519, kb_relative_information_score: 7455.6564, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6893, predictive_accuracy: 0.6885, prior_entropy: 3.2849, recall: 0.6885, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.6397, kappa: 0.5971, kb_relative_information_score: 7081.1034, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6417, predictive_accuracy: 0.6395, prior_entropy: 3.2849, recall: 0.6395, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.6781, kappa: 0.6412, kb_relative_information_score: 7310.8176, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6784, predictive_accuracy: 0.679, prior_entropy: 3.2849, recall: 0.679, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6755,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.7131, kappa: 0.6803, kb_relative_information_score: 7650.1043, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7136, predictive_accuracy: 0.7139, prior_entropy: 3.2849, recall: 0.7139, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6482,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6783, kappa: 0.6406, kb_relative_information_score: 7382.2575, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6798, predictive_accuracy: 0.6784, prior_entropy: 3.2849, recall: 0.6784, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6746,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.6499, kappa: 0.6093, kb_relative_information_score: 7101.1692, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.651, predictive_accuracy: 0.6503, prior_entropy: 3.2849, recall: 0.6503, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.6735, kappa: 0.6356, kb_relative_information_score: 7252.6807, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6742, predictive_accuracy: 0.6739, prior_entropy: 3.2849, recall: 0.6739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6331, kappa: 0.5901, kb_relative_information_score: 7043.0988, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6343, predictive_accuracy: 0.6332, prior_entropy: 3.2849, recall: 0.6332, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.6478, kappa: 0.6059, kb_relative_information_score: 7158.5361, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6498, predictive_accuracy: 0.6473, prior_entropy: 3.2849, recall: 0.6473, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.6507, kappa: 0.6091, kb_relative_information_score: 7181.3801, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6527, predictive_accuracy: 0.6501, prior_entropy: 3.2849, recall: 0.6501, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7317, kappa: 0.7003, kb_relative_information_score: 7897.4651, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7322, predictive_accuracy: 0.7317, prior_entropy: 3.2849, recall: 0.7317, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.6258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.6549, kappa: 0.6147, kb_relative_information_score: 7146.2305, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6562, predictive_accuracy: 0.6552, prior_entropy: 3.2849, recall: 0.6552, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.6778, kappa: 0.6408, kb_relative_information_score: 7308.8698, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.678, predictive_accuracy: 0.6786, prior_entropy: 3.2849, recall: 0.6786, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.6492, kappa: 0.6086, kb_relative_information_score: 7100.8141, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6503, predictive_accuracy: 0.6496, prior_entropy: 3.2849, recall: 0.6496, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.6997, kappa: 0.6646, kb_relative_information_score: 7565.8625, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7008, predictive_accuracy: 0.6998, prior_entropy: 3.2849, recall: 0.6998, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.6651, kappa: 0.6261, kb_relative_information_score: 7214.3834, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6663, predictive_accuracy: 0.6654, prior_entropy: 3.2849, recall: 0.6654, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.684,

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