Task
Supervised Classification on volcanoes-e1

Supervised Classification on volcanoes-e1

Task 9915 Supervised Classification volcanoes-e1 74 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.8745, kappa: 0.0211, kb_relative_information_score: -36.1823, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.84, predictive_accuracy: 0.9121, prior_entropy: 0.5841, recall: 0.9121, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.8751, kb_relative_information_score: -1874.0627, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 1.5873, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1825, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.8751, kb_relative_information_score: -10.776, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.8758, kappa: 0.0321, kb_relative_information_score: 10.5026, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8408, predictive_accuracy: 0.9138, prior_entropy: 0.5841, recall: 0.9138, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1806, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.8751, kb_relative_information_score: -10.5992, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1786, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.8811, kappa: 0.1216, kb_relative_information_score: -508.744, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8579, predictive_accuracy: 0.9112, prior_entropy: 0.5841, recall: 0.9112, relative_absolute_error: 1.2196, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1832, root_relative_squared_error: 1.0259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.8876, kappa: 0.2172, kb_relative_information_score: 188.415, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8751, predictive_accuracy: 0.9045, prior_entropy: 0.5841, recall: 0.9045, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1925, root_relative_squared_error: 1.0775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.8777, kappa: 0.1456, kb_relative_information_score: -1839.5393, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8567, predictive_accuracy: 0.9003, prior_entropy: 0.5841, recall: 0.9003, relative_absolute_error: 1.5906, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1922, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.888, kappa: 0.1635, kb_relative_information_score: 2.8553, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8721, predictive_accuracy: 0.918, prior_entropy: 0.5841, recall: 0.918, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8751, kb_relative_information_score: -21.3157, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.8862, kappa: 0.1666, kb_relative_information_score: -154.8326, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8737, predictive_accuracy: 0.9121, prior_entropy: 0.5841, recall: 0.9121, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.8787, kappa: 0.1392, kb_relative_information_score: -37.7958, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8568, predictive_accuracy: 0.9028, prior_entropy: 0.5841, recall: 0.9028, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.172, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.8751, kb_relative_information_score: -4696.4538, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 3.7999, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.3243, root_relative_squared_error: 1.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.8751, kb_relative_information_score: -10.5992, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1786, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.8823, kappa: 0.1388, kb_relative_information_score: -12.3974, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8611, predictive_accuracy: 0.9104, prior_entropy: 0.5841, recall: 0.9104, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8751, kb_relative_information_score: 2.7888, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.8751, kb_relative_information_score: -10.5992, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1786, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.8811, kappa: 0.1216, kb_relative_information_score: -158.5909, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8579, predictive_accuracy: 0.9112, prior_entropy: 0.5841, recall: 0.9112, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.8751, kb_relative_information_score: 8.6464, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1786, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.8793, kappa: 0.0924, kb_relative_information_score: -394.0855, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.856, predictive_accuracy: 0.9104, prior_entropy: 0.5841, recall: 0.9104, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1845, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.892, kappa: 0.2243, kb_relative_information_score: 83.0452, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.879, predictive_accuracy: 0.9146, prior_entropy: 0.5841, recall: 0.9146, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8777, kappa: 0.1456, kb_relative_information_score: -11.8356, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8567, predictive_accuracy: 0.9003, prior_entropy: 0.5841, recall: 0.9003, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.8751, kb_relative_information_score: -1888.4336, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 1.5943, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1827, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8751, kb_relative_information_score: -4703.6261, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 3.799, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.3263, root_relative_squared_error: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8777, kappa: 0.1456, kb_relative_information_score: -11.7415, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8567, predictive_accuracy: 0.9003, prior_entropy: 0.5841, recall: 0.9003, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8786, kappa: 0.1437, kb_relative_information_score: -16.1448, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8578, predictive_accuracy: 0.9019, prior_entropy: 0.5841, recall: 0.9019, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.892, kappa: 0.2243, kb_relative_information_score: 83.0452, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.879, predictive_accuracy: 0.9146, prior_entropy: 0.5841, recall: 0.9146, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.8751, kb_relative_information_score: -4701.9141, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 3.7985, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.3263, root_relative_squared_error: 1.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.8751, kb_relative_information_score: -4696.7782, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 3.7969, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.3261, root_relative_squared_error: 1.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.8742, kappa: -0.0025, kb_relative_information_score: -164.5971, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.838, predictive_accuracy: 0.9138, prior_entropy: 0.5841, recall: 0.9138, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.8919, kappa: 0.227, kb_relative_information_score: -65.2901, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8795, predictive_accuracy: 0.9121, prior_entropy: 0.5841, recall: 0.9121, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.8755, kappa: 0.0087, kb_relative_information_score: 16.2843, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8388, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8822, kappa: 0.1411, kb_relative_information_score: -80.889, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8634, predictive_accuracy: 0.9087, prior_entropy: 0.5841, recall: 0.9087, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.8709, kappa: 0.2214, kb_relative_information_score: -74.7344, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8757, predictive_accuracy: 0.8673, prior_entropy: 0.5841, recall: 0.8673, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.2304, root_relative_squared_error: 1.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.8829, kappa: 0.1599, kb_relative_information_score: 183.8605, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8673, predictive_accuracy: 0.9045, prior_entropy: 0.5841, recall: 0.9045, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1955, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.8815, kappa: 0.1096, kb_relative_information_score: 219.5093, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8605, predictive_accuracy: 0.9121, prior_entropy: 0.5841, recall: 0.9121, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1875, root_relative_squared_error: 1.0498, usercpu_time_millis: 39.604, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 39.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8742, kappa: -0.0025, kb_relative_information_score: 225.2381, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.838, predictive_accuracy: 0.9138, prior_entropy: 0.5841, recall: 0.9138, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1857, root_relative_squared_error: 1.0397, usercpu_time_millis: 2.589, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 2.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.885, kappa: 0.2017, kb_relative_information_score: 163.0623, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8731, predictive_accuracy: 0.9003, prior_entropy: 0.5841, recall: 0.9003, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1997, root_relative_squared_error: 1.1183, usercpu_time_millis: 373.582, usercpu_time_millis_testing: 4.783, usercpu_time_millis_training: 368.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.8769, kappa: 0.0859, kb_relative_information_score: 178.68, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8516, predictive_accuracy: 0.907, prior_entropy: 0.5841, recall: 0.907, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1929, root_relative_squared_error: 1.0797, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.8861, kappa: 0.1722, kb_relative_information_score: 223.001, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8706, predictive_accuracy: 0.9096, prior_entropy: 0.5841, recall: 0.9096, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1902, root_relative_squared_error: 1.0649, usercpu_time_millis: 60.737, usercpu_time_millis_testing: 8.964, usercpu_time_millis_training: 51.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 9.402, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 9.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.887, kappa: 0.1573, kb_relative_information_score: 261.3494, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8722, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 7.209, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 6.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.8868, kappa: 0.1651, kb_relative_information_score: 246.8979, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8708, predictive_accuracy: 0.9138, prior_entropy: 0.5841, recall: 0.9138, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1857, root_relative_squared_error: 1.0397, usercpu_time_millis: 7.999, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 7.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.8808, kappa: 0.1621, kb_relative_information_score: 156.4719, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.862, predictive_accuracy: 0.9028, prior_entropy: 0.5841, recall: 0.9028, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1972, root_relative_squared_error: 1.104, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.8856, kappa: 0.2033, kb_relative_information_score: 183.5816, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8714, predictive_accuracy: 0.9045, prior_entropy: 0.5841, recall: 0.9045, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1955, root_relative_squared_error: 1.0943, usercpu_time_millis: 2.428, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 1.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.8751, kappa: 0.0285, kb_relative_information_score: 210.1687, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8443, predictive_accuracy: 0.9112, prior_entropy: 0.5841, recall: 0.9112, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1884, root_relative_squared_error: 1.0549, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.361, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 30.834, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 29.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.8785, kappa: 0.1471, kb_relative_information_score: 138.6428, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8579, predictive_accuracy: 0.9011, prior_entropy: 0.5841, recall: 0.9011, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1989, root_relative_squared_error: 1.1135, usercpu_time_millis: 0.502, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.8758, kappa: 0.0494, kb_relative_information_score: 203.9267, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8455, predictive_accuracy: 0.9104, prior_entropy: 0.5841, recall: 0.9104, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1893, root_relative_squared_error: 1.0599, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.8846, kappa: 0.1662, kb_relative_information_score: 209.7851, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8653, predictive_accuracy: 0.9096, prior_entropy: 0.5841, recall: 0.9096, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1902, root_relative_squared_error: 1.0649, usercpu_time_millis: 3.76, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 102.228, usercpu_time_millis_testing: 11.009, usercpu_time_millis_training: 91.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.109, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.8774, kappa: 0.1408, kb_relative_information_score: 158.7185, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8534, predictive_accuracy: 0.9028, prior_entropy: 0.5841, recall: 0.9028, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1972, root_relative_squared_error: 1.104, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.8838, kappa: 0.182, kb_relative_information_score: 176.2687, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8678, predictive_accuracy: 0.9045, prior_entropy: 0.5841, recall: 0.9045, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1955, root_relative_squared_error: 1.0943, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8742, kappa: -0.002, kb_relative_information_score: 225.2381, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.838, predictive_accuracy: 0.9138, prior_entropy: 0.5841, recall: 0.9138, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1857, root_relative_squared_error: 1.0397, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.8742, kappa: 0.0132, kb_relative_information_score: 212.7542, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8392, predictive_accuracy: 0.9121, prior_entropy: 0.5841, recall: 0.9121, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1875, root_relative_squared_error: 1.0498, usercpu_time_millis: 2.574, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 1.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.892, kappa: 0.2243, kb_relative_information_score: 261.8626, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.879, predictive_accuracy: 0.9146, prior_entropy: 0.5841, recall: 0.9146, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1848, root_relative_squared_error: 1.0346, usercpu_time_millis: 2.417, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 1.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.8758, kappa: 0.1979, kb_relative_information_score: 20.1152, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8705, predictive_accuracy: 0.8817, prior_entropy: 0.5841, recall: 0.8817, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.2176, root_relative_squared_error: 1.2181, usercpu_time_millis: 3.146, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.8745, kappa: 0.02, kb_relative_information_score: 212.7542, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.84, predictive_accuracy: 0.9121, prior_entropy: 0.5841, recall: 0.9121, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1875, root_relative_squared_error: 1.0498, usercpu_time_millis: 1.835, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.8877, kappa: 0.1653, kb_relative_information_score: 265.6237, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8708, predictive_accuracy: 0.9163, prior_entropy: 0.5841, recall: 0.9163, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.183, root_relative_squared_error: 1.0243, usercpu_time_millis: 3.376, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 2.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 2.553, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.8746, kappa: -0.0012, kb_relative_information_score: 231.48, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.838, predictive_accuracy: 0.9146, prior_entropy: 0.5841, recall: 0.9146, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1848, root_relative_squared_error: 1.0346, usercpu_time_millis: 2.967, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 2.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295, usercpu_time_millis: 2.35, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.892, kappa: 0.2243, kb_relative_information_score: 83.0452, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.879, predictive_accuracy: 0.9146, prior_entropy: 0.5841, recall: 0.9146, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.9758,

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