OpenML
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 145953 Supervised Classification kr-vs-kp 96152 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9587, kappa: 0.9173, kb_relative_information_score: 2693.949, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9587, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3561, scimark_benchmark: 1308.2891, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9643, kappa: 0.9286, kb_relative_information_score: 2768.6457, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9986, recall: 0.9643, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3403, scimark_benchmark: 1302.2308, usercpu_time_millis: 3.217, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1289.5334, usercpu_time_millis: 0.814, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.3583, kb_relative_information_score: 53.5394, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.988, scimark_benchmark: 1289.2099, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1285.1964, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9392, kappa: 0.8781, kb_relative_information_score: 2269.465, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9403, predictive_accuracy: 0.9393, prior_entropy: 0.9986, recall: 0.9393, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4663, scimark_benchmark: 1295.4639, usercpu_time_millis: 1.773, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2824.3402, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3283, scimark_benchmark: 1334.8579, usercpu_time_millis: 4.916, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 4.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9395, kappa: 0.8787, kb_relative_information_score: 2088.2838, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9406, predictive_accuracy: 0.9396, prior_entropy: 0.9986, recall: 0.9396, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5072, scimark_benchmark: 1305.6802, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9672, kappa: 0.9342, kb_relative_information_score: 2831.5679, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9986, recall: 0.9671, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3256, scimark_benchmark: 1317.3421, usercpu_time_millis: 6.857, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 6.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9418, kappa: 0.8833, kb_relative_information_score: 2033.3154, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9986, recall: 0.9418, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5182, scimark_benchmark: 1319.1012, usercpu_time_millis: 1.012, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1308.404, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1306.5961, usercpu_time_millis: 0.775, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 2773.851, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9986, recall: 0.9643, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3397, scimark_benchmark: 1285.674, usercpu_time_millis: 3.16, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 2.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 1547.6388, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6386, scimark_benchmark: 1305.8961, usercpu_time_millis: 0.768, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1312.4171, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9386, kappa: 0.8769, kb_relative_information_score: 1832.9531, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9391, predictive_accuracy: 0.9387, prior_entropy: 0.9986, recall: 0.9387, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.566, scimark_benchmark: 1331.67, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1293.9017, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 1373.8314, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6862, scimark_benchmark: 1289.1363, usercpu_time_millis: 0.859, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1314.1113, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1310.4672, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1339.2335, usercpu_time_millis: 0.662, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1307.4666, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1307.0599, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9471, kappa: 0.8939, kb_relative_information_score: 2190.0616, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9473, predictive_accuracy: 0.9471, prior_entropy: 0.9986, recall: 0.9471, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4761, scimark_benchmark: 1309.6735, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1332.296, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 0.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1321.0145, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 276.3848, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9388, scimark_benchmark: 1304.1497, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9026, kappa: 0.8051, kb_relative_information_score: 538.4557, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.91, predictive_accuracy: 0.9033, prior_entropy: 0.9986, recall: 0.9033, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8786, scimark_benchmark: 1305.6287, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1308.6623, usercpu_time_millis: 0.705, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9665, kappa: 0.9329, kb_relative_information_score: 2802.0864, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9666, predictive_accuracy: 0.9665, prior_entropy: 0.9986, recall: 0.9665, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3336, scimark_benchmark: 1324.7549, usercpu_time_millis: 3.949, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 3.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9562, kappa: 0.9122, kb_relative_information_score: 2695.655, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.9986, recall: 0.9562, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3571, scimark_benchmark: 1337.0674, usercpu_time_millis: 3.544, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 3.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9603, kappa: 0.9204, kb_relative_information_score: 2715.6362, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.9986, recall: 0.9603, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3515, scimark_benchmark: 1307.3966, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9593, kappa: 0.9185, kb_relative_information_score: 2725.968, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.9986, recall: 0.9593, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3504, scimark_benchmark: 1296.7972, usercpu_time_millis: 4.861, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 4.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1317.8346, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 0.349,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1310.6624, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1325.784, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 953.8018, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7848, scimark_benchmark: 1319.4881, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9486, kappa: 0.897, kb_relative_information_score: 2462.6657, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 0.9986, recall: 0.9487, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4138, scimark_benchmark: 1326.4888, usercpu_time_millis: 1.709, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1329.8904, usercpu_time_millis: 0.748, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9414, kappa: 0.8825, kb_relative_information_score: 2161.4747, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9423, predictive_accuracy: 0.9415, prior_entropy: 0.9986, recall: 0.9415, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.4856, scimark_benchmark: 1320.1411, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1301.9432, usercpu_time_millis: 0.991, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9355, kappa: 0.8706, kb_relative_information_score: 1281.1985, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9361, predictive_accuracy: 0.9355, prior_entropy: 0.9986, recall: 0.9355, relative_absolute_error: 0.6612, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7009, scimark_benchmark: 1311.2775, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1306.8286, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 1634.601, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.5497, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6247, scimark_benchmark: 1297.6171, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1315.5089, usercpu_time_millis: 0.752, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2833.5079, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3262, scimark_benchmark: 1326.4959, usercpu_time_millis: 5.444, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 5.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1323.7644, usercpu_time_millis: 0.7, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1323.1699, usercpu_time_millis: 0.714, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1332.4565, usercpu_time_millis: 0.872, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9562, kappa: 0.9122, kb_relative_information_score: 2617.3662, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.9986, recall: 0.9562, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3732, scimark_benchmark: 1294.8035, usercpu_time_millis: 1.758, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 1.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1301.6437, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9458, kappa: 0.8914, kb_relative_information_score: 2264.3372, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.946, predictive_accuracy: 0.9459, prior_entropy: 0.9986, recall: 0.9459, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.4577, scimark_benchmark: 1301.5965, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9625, kappa: 0.9248, kb_relative_information_score: 2752.1611, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9986, recall: 0.9625, relative_absolute_error: 0.1558, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3439, scimark_benchmark: 1305.4643, usercpu_time_millis: 2.905, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1302.944, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1293.169, usercpu_time_millis: 0.734, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1317.7913, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.959, kappa: 0.9179, kb_relative_information_score: 2700.2789, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.9986, recall: 0.959, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3556, scimark_benchmark: 1307.6073, usercpu_time_millis: 3.216, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 2.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9382, kappa: 0.8762, kb_relative_information_score: 1287.7603, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9394, predictive_accuracy: 0.9384, prior_entropy: 0.9986, recall: 0.9384, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7061, scimark_benchmark: 1307.4241, usercpu_time_millis: 0.774, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1312.126, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.3583, kb_relative_information_score: 19.5424, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9956, scimark_benchmark: 1313.8219, usercpu_time_millis: 0.715, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1294.6081, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1315.6367, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3583, kb_relative_information_score: 0.0022, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, scimark_benchmark: 1322.7559, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 0.37,

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