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: 0.9951, f_measure: 0.9678, kappa: 0.9355, kb_relative_information_score: 2764.5355, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3324, scimark_benchmark: 1871.5019, usercpu_time_millis: 4.145, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 3.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9486, kappa: 0.8969, kb_relative_information_score: 1239.1037, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9499, predictive_accuracy: 0.9487, prior_entropy: 0.9986, recall: 0.9487, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7043, scimark_benchmark: 1850.0944, usercpu_time_millis: 2.714, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: -0.0115, 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: 1857.7844, usercpu_time_millis: 2.602, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9395, kappa: 0.8787, kb_relative_information_score: 1722.1862, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.941, predictive_accuracy: 0.9396, prior_entropy: 0.9986, recall: 0.9396, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5949, scimark_benchmark: 1846.4401, usercpu_time_millis: 5.074, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 4.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9937, kappa: 0.9875, kb_relative_information_score: 3101.7668, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.9986, recall: 0.9937, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1524, scimark_benchmark: 1965.8754, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3121.684, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1351, scimark_benchmark: 1974.06, usercpu_time_millis: 25.83, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 24.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9784, kappa: 0.9567, kb_relative_information_score: 2301.7036, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 0.9986, recall: 0.9784, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4035, scimark_benchmark: 2024.9215, usercpu_time_millis: 18.168, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 16.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9724, kappa: 0.9448, kb_relative_information_score: 1940.3677, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9728, predictive_accuracy: 0.9725, prior_entropy: 0.9986, recall: 0.9725, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.511, scimark_benchmark: 2008.9556, usercpu_time_millis: 21.837, usercpu_time_millis_testing: 2.082, usercpu_time_millis_training: 19.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 2964.0853, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1931, scimark_benchmark: 1917.6177, usercpu_time_millis: 14.217, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 13.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.99, kb_relative_information_score: 3077.017, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1547, scimark_benchmark: 1921.8556, usercpu_time_millis: 13.345, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 11.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9775, kappa: 0.9548, kb_relative_information_score: 2971.8538, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 0.9986, recall: 0.9775, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2626, scimark_benchmark: 1953.9103, usercpu_time_millis: 14.664, usercpu_time_millis_testing: 0.999, usercpu_time_millis_training: 13.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2316.5526, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.46, scimark_benchmark: 1981.4885, usercpu_time_millis: 11.979, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 11.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2665.4489, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3914, scimark_benchmark: 1957.5064, usercpu_time_millis: 11.158, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 10.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9709, kappa: 0.9417, kb_relative_information_score: 2576.8914, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.9986, recall: 0.9709, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3382, scimark_benchmark: 1986.338, usercpu_time_millis: 7.282, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 6.655,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 2901.5792, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9694, predictive_accuracy: 0.9693, prior_entropy: 0.9986, recall: 0.9693, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.2774, scimark_benchmark: 1996.6173, usercpu_time_millis: 6.857, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 6.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8779, kappa: 0.7561, kb_relative_information_score: 465.3111, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.89, predictive_accuracy: 0.8792, prior_entropy: 0.9986, recall: 0.8792, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8951, scimark_benchmark: 1916.723, usercpu_time_millis: 6.295, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 5.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9476, kappa: 0.895, kb_relative_information_score: 1137.6137, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9494, predictive_accuracy: 0.9477, prior_entropy: 0.9986, recall: 0.9477, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7306, scimark_benchmark: 2012.8339, usercpu_time_millis: 5.791, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 5.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9684, kappa: 0.9367, kb_relative_information_score: 2764.0364, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9986, recall: 0.9684, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3399, scimark_benchmark: 1903.8563, usercpu_time_millis: 5.968, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 5.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 2123.0091, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9638, predictive_accuracy: 0.9637, prior_entropy: 0.9986, recall: 0.9637, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4759, scimark_benchmark: 2027.004, usercpu_time_millis: 2.032, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: -0.0255, 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: 2135.1694, usercpu_time_millis: 3.633, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 3.202,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9668, kappa: 0.9335, kb_relative_information_score: 2415.9888, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.9986, recall: 0.9668, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3934, scimark_benchmark: 1995.5943, usercpu_time_millis: 3.45, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 3.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3583, kb_relative_information_score: -0.0367, 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: 1728.0345, usercpu_time_millis: 2.149, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: -0.0119, 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: 2083.4229, usercpu_time_millis: 4.346, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 3.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9581, kappa: 0.9161, kb_relative_information_score: 2787.6456, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.3485, scimark_benchmark: 1231.6841, usercpu_time_millis: 20.635, usercpu_time_millis_testing: 1.092, usercpu_time_millis_training: 19.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9678, kappa: 0.9354, kb_relative_information_score: 2933.6968, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.9986, recall: 0.9678, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2831, scimark_benchmark: 1221.4377, usercpu_time_millis: 27.245, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 25.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9581, kappa: 0.9161, kb_relative_information_score: 2802.9821, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 0.9986, recall: 0.9581, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3407, scimark_benchmark: 1208.0226, usercpu_time_millis: 29.542, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 28.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3123.0122, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.1335, scimark_benchmark: 1231.8763, usercpu_time_millis: 7.27, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 6.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9831, kappa: 0.9661, kb_relative_information_score: 2875.5758, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9831, predictive_accuracy: 0.9831, prior_entropy: 0.9986, recall: 0.9831, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.2565, scimark_benchmark: 1220.9581, usercpu_time_millis: 5.029, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 4.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9809, kappa: 0.9618, kb_relative_information_score: 2915.6973, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 0.9986, recall: 0.9809, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.253, scimark_benchmark: 1222.9891, usercpu_time_millis: 8.277, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 7.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3084.9346, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1602, scimark_benchmark: 1220.9914, usercpu_time_millis: 4.245, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 4.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9797, kappa: 0.9592, kb_relative_information_score: 2947.4904, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2614, scimark_benchmark: 1220.7703, usercpu_time_millis: 24.972, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 23.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9822, kappa: 0.9642, kb_relative_information_score: 3005.0886, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.9986, recall: 0.9822, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.2231, scimark_benchmark: 1212.0821, usercpu_time_millis: 16.988, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 16.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3150.875, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1106, scimark_benchmark: 1221.1261, usercpu_time_millis: 32.782, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 31.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9815, kappa: 0.963, kb_relative_information_score: 2987.6713, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9816, predictive_accuracy: 0.9815, prior_entropy: 0.9986, recall: 0.9815, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.122, root_relative_squared_error: 0.2443, scimark_benchmark: 1215.6041, usercpu_time_millis: 15.168, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 14.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9426, kappa: 0.885, kb_relative_information_score: 1859.1241, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9438, predictive_accuracy: 0.9427, prior_entropy: 0.9986, recall: 0.9427, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5433, scimark_benchmark: 1219.1079, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 4.408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9586, kappa: 0.9171, kb_relative_information_score: 1396.5629, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9596, predictive_accuracy: 0.9587, prior_entropy: 0.9986, recall: 0.9587, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6638, scimark_benchmark: 1223.5441, usercpu_time_millis: 0.733, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.943, kappa: 0.8856, kb_relative_information_score: 2072.2841, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.944, predictive_accuracy: 0.9431, prior_entropy: 0.9986, recall: 0.9431, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4885, scimark_benchmark: 1215.2366, usercpu_time_millis: 3.847, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 3.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9944, kappa: 0.9887, kb_relative_information_score: 3109.0228, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.9986, recall: 0.9944, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.1473, scimark_benchmark: 1210.0688, usercpu_time_millis: 34.365, usercpu_time_millis_testing: 1.565, usercpu_time_millis_training: 32.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3583, kb_relative_information_score: -0.014, 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: 1211.7655, usercpu_time_millis: 4.086, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 3.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9436, kappa: 0.8869, kb_relative_information_score: 2132.0044, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9447, predictive_accuracy: 0.9437, prior_entropy: 0.9986, recall: 0.9437, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4734, scimark_benchmark: 1210.6819, usercpu_time_millis: 6.758, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 6.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2509.9253, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.419, scimark_benchmark: 1207.9651, usercpu_time_millis: 13.575, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 12.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9583, kappa: 0.9164, kb_relative_information_score: 1525.3858, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9593, predictive_accuracy: 0.9584, prior_entropy: 0.9986, recall: 0.9584, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6281, scimark_benchmark: 1214.7025, usercpu_time_millis: 16.746, usercpu_time_millis_testing: 2.037, usercpu_time_millis_training: 14.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3148.5764, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1123, scimark_benchmark: 1213.9045, usercpu_time_millis: 19.916, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 18.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2676.8923, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.195, root_relative_squared_error: 0.3903, scimark_benchmark: 1207.0607, usercpu_time_millis: 6.188, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 5.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2545.8163, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.411, scimark_benchmark: 1213.4504, usercpu_time_millis: 3.119, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 2.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.985, kappa: 0.9699, kb_relative_information_score: 2868.1283, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9986, recall: 0.985, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2497, scimark_benchmark: 1215.3109, usercpu_time_millis: 10.592, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 9.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2646.1165, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4131, scimark_benchmark: 1213.6542, usercpu_time_millis: 5.843, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 5.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3583, kb_relative_information_score: -0.0249, 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: 1212.4747, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9467, kappa: 0.8932, kb_relative_information_score: 1753.697, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 0.9986, recall: 0.9468, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5676, scimark_benchmark: 1213.1913, usercpu_time_millis: 3.575, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 3.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3583, kb_relative_information_score: -0.0348, 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: 1215.0851, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9844, kappa: 0.9686, kb_relative_information_score: 2684.1239, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.9986, recall: 0.9844, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.145, root_relative_squared_error: 0.2903, scimark_benchmark: 1216.5121, usercpu_time_millis: 4.571, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 4.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3583, kb_relative_information_score: -0.0819, 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: 1214.9619, usercpu_time_millis: 1.953, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.948, kappa: 0.8958, kb_relative_information_score: 2735.9765, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9482, predictive_accuracy: 0.9481, prior_entropy: 0.9986, recall: 0.9481, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3701, scimark_benchmark: 1216.9998, usercpu_time_millis: 12.732, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 11.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 3013.2733, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0678, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1915, scimark_benchmark: 1214.791, usercpu_time_millis: 13.658, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 12.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9464, kappa: 0.8926, kb_relative_information_score: 2225.7503, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9472, predictive_accuracy: 0.9465, prior_entropy: 0.9986, recall: 0.9465, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.45, scimark_benchmark: 1219.2071, usercpu_time_millis: 10.068, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 9.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9439, kappa: 0.8876, kb_relative_information_score: 1325.171, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9446, predictive_accuracy: 0.944, prior_entropy: 0.9986, recall: 0.944, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6821, scimark_benchmark: 1217.0486, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9728, kappa: 0.9455, kb_relative_information_score: 2886.5983, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 0.9986, recall: 0.9728, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.2789, scimark_benchmark: 1222.4287, usercpu_time_millis: 3.566, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3149.5701, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1173, scimark_benchmark: 1204.2803, usercpu_time_millis: 42.88, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 41.363,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.954, kappa: 0.9077, kb_relative_information_score: 1631.0065, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9986, recall: 0.954, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.5996, scimark_benchmark: 1223.3872, usercpu_time_millis: 4.375, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 4.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.984, kappa: 0.968, kb_relative_information_score: 2940.8952, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.9986, recall: 0.984, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 1208.6702, usercpu_time_millis: 21.263, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 20.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 2928.8176, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2375, scimark_benchmark: 1211.9804, usercpu_time_millis: 6.211, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 5.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9407, kappa: 0.8812, kb_relative_information_score: 2672.3591, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9422, predictive_accuracy: 0.9409, prior_entropy: 0.9986, recall: 0.9409, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4006, scimark_benchmark: 1211.1252, usercpu_time_millis: 6.149, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 5.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9969, kappa: 0.9937, kb_relative_information_score: 3154.5037, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9986, recall: 0.9969, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1077, scimark_benchmark: 1215.9231, usercpu_time_millis: 29.343, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 28.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 1099.0022, mean_absolute_error: 0.3559, 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: 0.7132, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.75, scimark_benchmark: 1209.9297, usercpu_time_millis: 8.301, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 7.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9844, kappa: 0.9686, kb_relative_information_score: 2985.8554, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9844, predictive_accuracy: 0.9844, prior_entropy: 0.9986, recall: 0.9844, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.2225, scimark_benchmark: 1208.022, usercpu_time_millis: 30.313, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 28.944,

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

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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

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