OpenML
Supervised Classification on volcanoes-c1

Supervised Classification on volcanoes-c1

Task 9933 Supervised Classification volcanoes-c1 54 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.9601, kappa: 0.2262, kb_relative_information_score: -5550.8713, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9615, predictive_accuracy: 0.9587, prior_entropy: 0.2176, recall: 0.9587, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.9649, kappa: 0.1419, kb_relative_information_score: 5340.7188, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9569, predictive_accuracy: 0.9751, prior_entropy: 0.2176, recall: 0.9751, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, f_measure: 0.9688, kappa: 0.2983, kb_relative_information_score: 5982.7225, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9642, predictive_accuracy: 0.9754, prior_entropy: 0.2176, recall: 0.9754, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.9891, usercpu_time_millis: 7062.979, usercpu_time_millis_testing: 353.006, usercpu_time_millis_training: 6709.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.9683, kappa: 0.2842, kb_relative_information_score: 6216.9603, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9623, predictive_accuracy: 0.9759, prior_entropy: 0.2176, recall: 0.9759, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.9799, usercpu_time_millis: 8806.727, usercpu_time_millis_testing: 2865.026, usercpu_time_millis_training: 5941.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 41.164, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 39.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.9681, kappa: 0.2835, kb_relative_information_score: 5792.4526, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.963, predictive_accuracy: 0.9753, prior_entropy: 0.2176, recall: 0.9753, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9926, usercpu_time_millis: 13.119, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 12.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.9668, kappa: 0.2205, kb_relative_information_score: 5880, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.959, predictive_accuracy: 0.9756, prior_entropy: 0.2176, recall: 0.9756, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9856, usercpu_time_millis: 327.356, usercpu_time_millis_testing: 4.22, usercpu_time_millis_training: 323.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.0017, kappa: 0, kb_relative_information_score: -673968.8862, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9745, predictive_accuracy: 0.0033, prior_entropy: 0.2176, recall: 0.0033, relative_absolute_error: 19.8022, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.6314, root_relative_squared_error: 6.3014, usercpu_time_millis: 97.222, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 97.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 3.701, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 3.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 8.221, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 8.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.9678, kappa: 0.2715, kb_relative_information_score: 6099.4067, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9603, predictive_accuracy: 0.9758, prior_entropy: 0.2176, recall: 0.9758, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.9821, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 95.369, usercpu_time_millis_testing: 3.599, usercpu_time_millis_training: 91.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.9691, kappa: 0.3018, kb_relative_information_score: 6371.0564, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.965, predictive_accuracy: 0.976, prior_entropy: 0.2176, recall: 0.976, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.098, root_relative_squared_error: 0.9785, usercpu_time_millis: 198.712, usercpu_time_millis_testing: 5.985, usercpu_time_millis_training: 192.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.9688, kappa: 0.2942, kb_relative_information_score: 6306.0284, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9646, predictive_accuracy: 0.9759, prior_entropy: 0.2176, recall: 0.9759, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.9799, usercpu_time_millis: 129.167, usercpu_time_millis_testing: 1.931, usercpu_time_millis_training: 127.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 469.756, usercpu_time_millis_testing: 20.366, usercpu_time_millis_training: 449.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.9666, kappa: 0.3561, kb_relative_information_score: 2243.5489, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9641, predictive_accuracy: 0.9697, prior_entropy: 0.2176, recall: 0.9697, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.11, root_relative_squared_error: 1.0978, usercpu_time_millis: 1.447, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.967, kappa: 0.2562, kb_relative_information_score: 4873.1774, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9616, predictive_accuracy: 0.974, prior_entropy: 0.2176, recall: 0.974, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1019, root_relative_squared_error: 1.0169, usercpu_time_millis: 4.186, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 3.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.9683, kappa: 0.2866, kb_relative_information_score: 6039.8312, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9622, predictive_accuracy: 0.9756, prior_entropy: 0.2176, recall: 0.9756, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9856, usercpu_time_millis: 1.623, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 5.935, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 5.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 7.191, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 7.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.9666, kappa: 0.357, kb_relative_information_score: 2248.1745, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9642, predictive_accuracy: 0.9697, prior_entropy: 0.2176, recall: 0.9697, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.11, root_relative_squared_error: 1.0978, usercpu_time_millis: 8.785, usercpu_time_millis_testing: 8.222, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.9673, kappa: 0.2531, kb_relative_information_score: 5911.053, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9597, predictive_accuracy: 0.9756, prior_entropy: 0.2176, recall: 0.9756, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.9863, usercpu_time_millis: 34.612, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 34.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.9649, kappa: 0.2473, kb_relative_information_score: 2109.1718, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.96, predictive_accuracy: 0.97, prior_entropy: 0.2176, recall: 0.97, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1095, root_relative_squared_error: 1.0928, usercpu_time_millis: 215.11, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 214.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.9667, kappa: 0.2175, kb_relative_information_score: 5890.5772, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.959, predictive_accuracy: 0.9757, prior_entropy: 0.2176, recall: 0.9757, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.9849, usercpu_time_millis: 247.431, usercpu_time_millis_testing: 10.563, usercpu_time_millis_training: 236.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.9653, kappa: 0.1499, kb_relative_information_score: 5617.6371, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9576, predictive_accuracy: 0.9754, prior_entropy: 0.2176, recall: 0.9754, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9898, usercpu_time_millis: 4.7, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.9662, kappa: 0.345, kb_relative_information_score: 1343.2504, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9645, predictive_accuracy: 0.9684, prior_entropy: 0.2176, recall: 0.9684, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1124, root_relative_squared_error: 1.1217, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.9673, kappa: 0.2652, kb_relative_information_score: 4792.3004, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9622, predictive_accuracy: 0.9738, prior_entropy: 0.2176, recall: 0.9738, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1023, root_relative_squared_error: 1.021, usercpu_time_millis: 7.385, usercpu_time_millis_testing: 7.314, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.9614, kappa: 0.2273, kb_relative_information_score: -3491.7466, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9611, predictive_accuracy: 0.9618, prior_entropy: 0.2176, recall: 0.9618, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1236, root_relative_squared_error: 1.2339, usercpu_time_millis: 433.175, usercpu_time_millis_testing: 43.061, usercpu_time_millis_training: 390.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.9647, kappa: 0.1269, kb_relative_information_score: 5255.5796, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9593, predictive_accuracy: 0.9749, prior_entropy: 0.2176, recall: 0.9749, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1002, root_relative_squared_error: 1.0003, usercpu_time_millis: 22.538, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 22.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.9674, kappa: 0.2576, kb_relative_information_score: 5362.5742, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9622, predictive_accuracy: 0.9747, prior_entropy: 0.2176, recall: 0.9747, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1005, root_relative_squared_error: 1.0031, usercpu_time_millis: 3.624, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 3.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.9682, kappa: 0.2996, kb_relative_information_score: 5967.2073, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9611, predictive_accuracy: 0.9755, prior_entropy: 0.2176, recall: 0.9755, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.099, root_relative_squared_error: 0.9884, usercpu_time_millis: 53.98, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 53.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.966, kappa: 0.1787, kb_relative_information_score: 5854.8986, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9583, predictive_accuracy: 0.9757, prior_entropy: 0.2176, recall: 0.9757, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9842, usercpu_time_millis: 19.529, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 19.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 7.001, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 6.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.9669, kappa: 0.2245, kb_relative_information_score: 5989.0333, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9599, predictive_accuracy: 0.9758, prior_entropy: 0.2176, recall: 0.9758, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.9821, usercpu_time_millis: 3.014, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 2.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 42.934, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 42.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9619, kb_relative_information_score: 4767.7325, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0086, usercpu_time_millis: 38.293, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 38.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9673, kappa: 0.253, kb_relative_information_score: -7503.6037, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9596, predictive_accuracy: 0.9755, prior_entropy: 0.2176, recall: 0.9755, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8926, scimark_benchmark: 474.7745, usercpu_time_millis: 66980, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 66870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.9655, kappa: 0.1655, kb_relative_information_score: -17049.5748, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9589, predictive_accuracy: 0.9751, prior_entropy: 0.2176, recall: 0.9751, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.092, root_relative_squared_error: 0.9178, scimark_benchmark: 1252.8883, usercpu_time_millis: 37410, usercpu_time_millis_testing: 10560, usercpu_time_millis_training: 26850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.9614, kappa: 0.2273, kb_relative_information_score: -3519.7591, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9611, predictive_accuracy: 0.9618, prior_entropy: 0.2176, recall: 0.9618, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1236, root_relative_squared_error: 1.2338, scimark_benchmark: 1230.3097, usercpu_time_millis: 44470, usercpu_time_millis_testing: 44470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.9673, kappa: 0.2539, kb_relative_information_score: -9557.9397, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9597, predictive_accuracy: 0.9756, prior_entropy: 0.2176, recall: 0.9756, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8927, scimark_benchmark: 1201.4547, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9666, kappa: 0.3572, kb_relative_information_score: -10939.5775, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9642, predictive_accuracy: 0.9697, prior_entropy: 0.2176, recall: 0.9697, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.9719, scimark_benchmark: 1227.7992, usercpu_time_millis: 140, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.9614, kappa: 0.2273, kb_relative_information_score: -3519.7591, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9611, predictive_accuracy: 0.9618, prior_entropy: 0.2176, recall: 0.9618, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1236, root_relative_squared_error: 1.2338, scimark_benchmark: 473.1656, usercpu_time_millis: 231780, usercpu_time_millis_testing: 231760, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.9673, kappa: 0.2528, kb_relative_information_score: -9304.0543, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9597, predictive_accuracy: 0.9755, prior_entropy: 0.2176, recall: 0.9755, relative_absolute_error: 0.7902, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8915, scimark_benchmark: 1254.1389, usercpu_time_millis: 1290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9674, kappa: 0.2576, kb_relative_information_score: -4378.7949, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9622, predictive_accuracy: 0.9747, prior_entropy: 0.2176, recall: 0.9747, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.9356, scimark_benchmark: 473.1656, usercpu_time_millis: 1610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.967, kappa: 0.2377, kb_relative_information_score: -8940.5801, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9605, predictive_accuracy: 0.9755, prior_entropy: 0.2176, recall: 0.9755, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.09, root_relative_squared_error: 0.8985, scimark_benchmark: 473.1656, usercpu_time_millis: 410, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9666, kappa: 0.3572, kb_relative_information_score: -10939.5775, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9642, predictive_accuracy: 0.9697, prior_entropy: 0.2176, recall: 0.9697, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.9719, scimark_benchmark: 1230.3004, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5927, kappa: -0.0015, kb_relative_information_score: -456486.5064, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9491, predictive_accuracy: 0.4335, prior_entropy: 0.2176, recall: 0.4335, relative_absolute_error: 11.6318, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.4491, root_relative_squared_error: 4.4819, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.9666, kappa: 0.3572, kb_relative_information_score: -10939.5775, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9642, predictive_accuracy: 0.9697, prior_entropy: 0.2176, recall: 0.9697, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.9719, scimark_benchmark: 1230.3004, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.9671, kappa: 0.2352, kb_relative_information_score: -8519.9579, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9593, predictive_accuracy: 0.9758, prior_entropy: 0.2176, recall: 0.9758, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.8944, scimark_benchmark: 1230.3004, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9619, kb_relative_information_score: -119.2411, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9496, predictive_accuracy: 0.9745, prior_entropy: 0.2176, recall: 0.9745, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.1002, root_relative_squared_error: 1, scimark_benchmark: 1241.5236, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9674, kappa: 0.2576, kb_relative_information_score: -4378.7949, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0201, number_of_instances: 28626, precision: 0.9622, predictive_accuracy: 0.9747, prior_entropy: 0.2176, recall: 0.9747, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.1002, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.9356,

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

OpenML bootcamp

From your own software

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

OpenML APIs