Task
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 9971 Supervised Classification ilpd 119972 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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119972 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.6328, kappa: 0.0902, kb_relative_information_score: 31.4382, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6282, predictive_accuracy: 0.6381, prior_entropy: 0.865, recall: 0.6381, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.508, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6537, kappa: 0.1419, kb_relative_information_score: 57.1896, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6495, predictive_accuracy: 0.6587, prior_entropy: 0.865, recall: 0.6587, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6606, kappa: 0.1626, kb_relative_information_score: 61.6757, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6638, prior_entropy: 0.865, recall: 0.6638, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.642, kappa: 0.1049, kb_relative_information_score: 31.5863, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6347, predictive_accuracy: 0.6518, prior_entropy: 0.865, recall: 0.6518, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.661, kappa: 0.1518, kb_relative_information_score: 50.784, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6921, kappa: 0.2313, kb_relative_information_score: 55.2897, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6869, predictive_accuracy: 0.6998, prior_entropy: 0.865, recall: 0.6998, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.655, kappa: 0.1447, kb_relative_information_score: 48.9562, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6506, predictive_accuracy: 0.6604, prior_entropy: 0.865, recall: 0.6604, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5172, root_relative_squared_error: 1.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6731, kappa: 0.1909, kb_relative_information_score: 47.4448, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6695, predictive_accuracy: 0.6775, prior_entropy: 0.865, recall: 0.6775, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6808, kappa: 0.211, kb_relative_information_score: 79.8253, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6777, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6322, kappa: 0.0768, kb_relative_information_score: 28.4587, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6233, predictive_accuracy: 0.6449, prior_entropy: 0.865, recall: 0.6449, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6576, kappa: 0.1388, kb_relative_information_score: 41.6985, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6495, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.6599, kappa: 0.1595, kb_relative_information_score: 51.7153, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6566, predictive_accuracy: 0.6638, prior_entropy: 0.865, recall: 0.6638, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.2058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6551, kappa: 0.1482, kb_relative_information_score: 53.12, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6519, predictive_accuracy: 0.6587, prior_entropy: 0.865, recall: 0.6587, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.6688, kappa: 0.1726, kb_relative_information_score: 68.4428, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6627, predictive_accuracy: 0.6775, prior_entropy: 0.865, recall: 0.6775, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6516, kappa: 0.136, kb_relative_information_score: 39.7126, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6471, predictive_accuracy: 0.6569, prior_entropy: 0.865, recall: 0.6569, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5243, root_relative_squared_error: 1.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.6598, kappa: 0.1526, kb_relative_information_score: 38.986, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.6672, prior_entropy: 0.865, recall: 0.6672, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4577, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.6301, kappa: 0.0849, kb_relative_information_score: 33.722, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.626, predictive_accuracy: 0.6346, prior_entropy: 0.865, recall: 0.6346, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6682, kappa: 0.1827, kb_relative_information_score: 45.214, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.666, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6668, kappa: 0.1701, kb_relative_information_score: 46.6022, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6614, predictive_accuracy: 0.6741, prior_entropy: 0.865, recall: 0.6741, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.6718, kappa: 0.1849, kb_relative_information_score: 60.3199, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6672, predictive_accuracy: 0.6775, prior_entropy: 0.865, recall: 0.6775, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.6558, kappa: 0.1513, kb_relative_information_score: 45.8824, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6532, predictive_accuracy: 0.6587, prior_entropy: 0.865, recall: 0.6587, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.1454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6668, kappa: 0.1701, kb_relative_information_score: 49.9219, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6614, predictive_accuracy: 0.6741, prior_entropy: 0.865, recall: 0.6741, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6879, kappa: 0.2225, kb_relative_information_score: 84.7146, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.683, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.6634, kappa: 0.1681, kb_relative_information_score: 69.1445, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.6672, prior_entropy: 0.865, recall: 0.6672, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.1364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6773, kappa: 0.1963, kb_relative_information_score: 51.9283, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6722, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6757, kappa: 0.187, kb_relative_information_score: 48.7306, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6691, predictive_accuracy: 0.6861, prior_entropy: 0.865, recall: 0.6861, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6543, kappa: 0.1521, kb_relative_information_score: 46.7738, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6534, predictive_accuracy: 0.6552, prior_entropy: 0.865, recall: 0.6552, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6787, kappa: 0.1991, kb_relative_information_score: 53.8791, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6734, predictive_accuracy: 0.6861, prior_entropy: 0.865, recall: 0.6861, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.6518, kappa: 0.1237, kb_relative_information_score: 39.8256, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6432, predictive_accuracy: 0.6655, prior_entropy: 0.865, recall: 0.6655, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.6696, kappa: 0.1608, kb_relative_information_score: 58.264, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6612, predictive_accuracy: 0.6895, prior_entropy: 0.865, recall: 0.6895, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6367, kappa: 0.0892, kb_relative_information_score: 32.2412, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6284, predictive_accuracy: 0.6484, prior_entropy: 0.865, recall: 0.6484, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6729, kappa: 0.197, kb_relative_information_score: 65.9383, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6718, predictive_accuracy: 0.6741, prior_entropy: 0.865, recall: 0.6741, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.681, kappa: 0.2196, kb_relative_information_score: 79.3516, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.681, predictive_accuracy: 0.681, prior_entropy: 0.865, recall: 0.681, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.533, root_relative_squared_error: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6598, kappa: 0.1526, kb_relative_information_score: 40.1303, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6542, predictive_accuracy: 0.6672, prior_entropy: 0.865, recall: 0.6672, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.457, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.6857, kappa: 0.2137, kb_relative_information_score: 54.1859, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6799, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6659, kappa: 0.1635, kb_relative_information_score: 42.8479, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6592, predictive_accuracy: 0.6758, prior_entropy: 0.865, recall: 0.6758, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.6893, kappa: 0.2254, kb_relative_information_score: 59.8412, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6843, predictive_accuracy: 0.6964, prior_entropy: 0.865, recall: 0.6964, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6829, kappa: 0.2108, kb_relative_information_score: 54.2798, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6781, predictive_accuracy: 0.6895, prior_entropy: 0.865, recall: 0.6895, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6801, kappa: 0.202, kb_relative_information_score: 82.3281, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6747, predictive_accuracy: 0.6878, prior_entropy: 0.865, recall: 0.6878, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.664, kappa: 0.1744, kb_relative_information_score: 34.9231, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6625, predictive_accuracy: 0.6655, prior_entropy: 0.865, recall: 0.6655, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6784, kappa: 0.2111, kb_relative_information_score: 83.6834, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6775, predictive_accuracy: 0.6792, prior_entropy: 0.865, recall: 0.6792, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.6596, kappa: 0.149, kb_relative_information_score: 46.4073, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.653, predictive_accuracy: 0.669, prior_entropy: 0.865, recall: 0.669, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.6518, kappa: 0.1237, kb_relative_information_score: 37.3559, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6432, predictive_accuracy: 0.6655, prior_entropy: 0.865, recall: 0.6655, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.6565, kappa: 0.1509, kb_relative_information_score: 55.3494, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6531, predictive_accuracy: 0.6604, prior_entropy: 0.865, recall: 0.6604, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.6676, kappa: 0.1764, kb_relative_information_score: 43.4442, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6636, predictive_accuracy: 0.6724, prior_entropy: 0.865, recall: 0.6724, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4674, root_relative_squared_error: 1.0339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.6794, kappa: 0.2021, kb_relative_information_score: 48.0422, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6745, predictive_accuracy: 0.6861, prior_entropy: 0.865, recall: 0.6861, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0271,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6576, kappa: 0.1388, kb_relative_information_score: 41.5783, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6495, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4562, root_relative_squared_error: 1.0092,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6585, kappa: 0.1602, kb_relative_information_score: 56.0792, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6567, predictive_accuracy: 0.6604, prior_entropy: 0.865, recall: 0.6604, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6814, kappa: 0.2139, kb_relative_information_score: 83.5637, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6788, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.51, root_relative_squared_error: 1.128,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6808, kappa: 0.2019, kb_relative_information_score: 55.578, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6749, predictive_accuracy: 0.6895, prior_entropy: 0.865, recall: 0.6895, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.678, kappa: 0.1992, kb_relative_information_score: 72.4294, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6733, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.6473, kappa: 0.1242, kb_relative_information_score: 29.6099, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6423, predictive_accuracy: 0.6535, prior_entropy: 0.865, recall: 0.6535, relative_absolute_error: 0.8758, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.6641, kappa: 0.1711, kb_relative_information_score: 58.8578, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6613, predictive_accuracy: 0.6672, prior_entropy: 0.865, recall: 0.6672, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6716, kappa: 0.1783, kb_relative_information_score: 45.3684, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6652, predictive_accuracy: 0.681, prior_entropy: 0.865, recall: 0.681, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4666, root_relative_squared_error: 1.032,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.6751, kappa: 0.1872, kb_relative_information_score: 71.8825, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6689, predictive_accuracy: 0.6844, prior_entropy: 0.865, recall: 0.6844, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.1176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6695, kappa: 0.1886, kb_relative_information_score: 64.5738, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.133,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.6682, kappa: 0.1827, kb_relative_information_score: 33.1226, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.666, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0578,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6843, kappa: 0.2167, kb_relative_information_score: 94.6486, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6803, predictive_accuracy: 0.6895, prior_entropy: 0.865, recall: 0.6895, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.662, kappa: 0.162, kb_relative_information_score: 66.944, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6577, predictive_accuracy: 0.6672, prior_entropy: 0.865, recall: 0.6672, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.1615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6753, kappa: 0.1935, kb_relative_information_score: 67.5722, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6708, predictive_accuracy: 0.681, prior_entropy: 0.865, recall: 0.681, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.6631, kappa: 0.1578, kb_relative_information_score: 35.7894, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6567, predictive_accuracy: 0.6724, prior_entropy: 0.865, recall: 0.6724, relative_absolute_error: 0.8731, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.6683, kappa: 0.1762, kb_relative_information_score: 57.4405, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6637, predictive_accuracy: 0.6741, prior_entropy: 0.865, recall: 0.6741, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6606, kappa: 0.1626, kb_relative_information_score: 61.1967, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6578, predictive_accuracy: 0.6638, prior_entropy: 0.865, recall: 0.6638, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.685, kappa: 0.2137, kb_relative_information_score: 54.7719, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6796, predictive_accuracy: 0.693, prior_entropy: 0.865, recall: 0.693, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6627, kappa: 0.1684, kb_relative_information_score: 34.0217, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6601, predictive_accuracy: 0.6655, prior_entropy: 0.865, recall: 0.6655, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6667, kappa: 0.1666, kb_relative_information_score: 51.6373, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6603, predictive_accuracy: 0.6758, prior_entropy: 0.865, recall: 0.6758, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.6669, kappa: 0.1767, kb_relative_information_score: 44.9988, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6636, predictive_accuracy: 0.6707, prior_entropy: 0.865, recall: 0.6707, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.6296, kappa: 0.0715, kb_relative_information_score: 13.6839, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.621, predictive_accuracy: 0.6415, prior_entropy: 0.865, recall: 0.6415, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.1308,

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