OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9777, kappa: 0.9139, kb_relative_information_score: 5789.4369, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9777, predictive_accuracy: 0.9779, prior_entropy: 0.6204, recall: 0.9779, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.3524, scimark_benchmark: 1238.4453, usercpu_time_millis: 424.958, usercpu_time_millis_testing: 3.246, usercpu_time_millis_training: 421.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1260.2856, usercpu_time_millis: 283.917, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 283.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6472.1627, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.044, root_relative_squared_error: 0.1218, scimark_benchmark: 1283.2098, usercpu_time_millis: 397.567, usercpu_time_millis_testing: 2.998, usercpu_time_millis_training: 394.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9636, kappa: 0.8583, kb_relative_information_score: 5153.9881, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.4643, scimark_benchmark: 1273.2795, usercpu_time_millis: 690.409, usercpu_time_millis_testing: 6.247, usercpu_time_millis_training: 684.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6578.2793, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0171, root_relative_squared_error: 0.0472, scimark_benchmark: 1292.4086, usercpu_time_millis: 265.977, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 265.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9654, kappa: 0.8652, kb_relative_information_score: 5186.0996, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9653, predictive_accuracy: 0.9659, prior_entropy: 0.6204, recall: 0.9659, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4601, scimark_benchmark: 1274.8721, usercpu_time_millis: 828.977, usercpu_time_millis_testing: 8.621, usercpu_time_millis_training: 820.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9587, kappa: 0.8367, kb_relative_information_score: 4880.5662, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9596, predictive_accuracy: 0.9601, prior_entropy: 0.6204, recall: 0.9601, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.4894, scimark_benchmark: 1274.4716, usercpu_time_millis: 506.247, usercpu_time_millis_testing: 3.757, usercpu_time_millis_training: 502.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9331, kappa: 0.7315, kb_relative_information_score: 4104.1226, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9343, predictive_accuracy: 0.9365, prior_entropy: 0.6204, recall: 0.9365, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.5916, scimark_benchmark: 1260.4144, usercpu_time_millis: 459.24, usercpu_time_millis_testing: 3.115, usercpu_time_millis_training: 456.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1265.533, usercpu_time_millis: 243.334, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 242.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9835, kappa: 0.9367, kb_relative_information_score: 5905.6876, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.6204, recall: 0.9835, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3172, scimark_benchmark: 1281.9407, usercpu_time_millis: 372.491, usercpu_time_millis_testing: 2.843, usercpu_time_millis_training: 369.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9272, kappa: 0.7042, kb_relative_information_score: 3922.8085, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9303, predictive_accuracy: 0.9321, prior_entropy: 0.6204, recall: 0.9321, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.6221, scimark_benchmark: 1275.0492, usercpu_time_millis: 627.073, usercpu_time_millis_testing: 5.302, usercpu_time_millis_training: 621.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3494.5181, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1260.927, usercpu_time_millis: 679.92, usercpu_time_millis_testing: 5.525, usercpu_time_millis_training: 674.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6558.0103, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0659, scimark_benchmark: 1278.6348, usercpu_time_millis: 261.868, usercpu_time_millis_testing: 1.434, usercpu_time_millis_training: 260.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0224, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0162, root_relative_squared_error: 0.0448, scimark_benchmark: 1276.1547, usercpu_time_millis: 221.082, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 219.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.2752, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4623, scimark_benchmark: 1285.2876, usercpu_time_millis: 789.419, usercpu_time_millis_testing: 9.074, usercpu_time_millis_training: 780.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1256.4948, usercpu_time_millis: 241.554, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 240.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9628, kappa: 0.8551, kb_relative_information_score: 5147.634, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9626, predictive_accuracy: 0.9633, prior_entropy: 0.6204, recall: 0.9633, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.4649, scimark_benchmark: 1253.7415, usercpu_time_millis: 618.735, usercpu_time_millis_testing: 6.206, usercpu_time_millis_training: 612.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6467.822, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.1121, scimark_benchmark: 1278.1849, usercpu_time_millis: 502.191, usercpu_time_millis_testing: 3.495, usercpu_time_millis_training: 498.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9278, kappa: 0.7082, kb_relative_information_score: 3838.2531, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.93, predictive_accuracy: 0.9323, prior_entropy: 0.6204, recall: 0.9323, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.6261, scimark_benchmark: 1275.1008, usercpu_time_millis: 500.558, usercpu_time_millis_testing: 3.504, usercpu_time_millis_training: 497.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1263.7683, usercpu_time_millis: 259.053, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 257.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1258.4359, usercpu_time_millis: 245.579, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 244.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1266.661, usercpu_time_millis: 246.054, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 245.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1269.6349, usercpu_time_millis: 281.508, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 280.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.8888, kappa: 0.5241, kb_relative_information_score: 2442.5477, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9159, predictive_accuracy: 0.9066, prior_entropy: 0.6204, recall: 0.9066, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.288, root_relative_squared_error: 0.7977, scimark_benchmark: 1252.4423, usercpu_time_millis: 556.541, usercpu_time_millis_testing: 5.858, usercpu_time_millis_training: 550.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6491.5657, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0865, scimark_benchmark: 1269.7033, usercpu_time_millis: 435.092, usercpu_time_millis_testing: 3.141, usercpu_time_millis_training: 431.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1283.4655, usercpu_time_millis: 258.428, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 257.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9334, kappa: 0.733, kb_relative_information_score: 4122.5405, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9346, predictive_accuracy: 0.9368, prior_entropy: 0.6204, recall: 0.9368, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.5896, scimark_benchmark: 1268.2201, usercpu_time_millis: 408.596, usercpu_time_millis_testing: 3.007, usercpu_time_millis_training: 405.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6552.1715, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0617, scimark_benchmark: 1284.3184, usercpu_time_millis: 366.848, usercpu_time_millis_testing: 2.608, usercpu_time_millis_training: 364.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6576.9154, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0236, scimark_benchmark: 1267.5888, usercpu_time_millis: 317.883, usercpu_time_millis_testing: 2.983, usercpu_time_millis_training: 314.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1279.7681, usercpu_time_millis: 261.381, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 260.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6551.5098, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0281, root_relative_squared_error: 0.0779, scimark_benchmark: 1255.6039, usercpu_time_millis: 243.614, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 242.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1279.8953, usercpu_time_millis: 261.766, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 261.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1290.6463, usercpu_time_millis: 258.44, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 257.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.9884, kb_relative_information_score: 6430.6926, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1387, scimark_benchmark: 1261.8832, usercpu_time_millis: 358.994, usercpu_time_millis_testing: 2.549, usercpu_time_millis_training: 356.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9657, kappa: 0.8664, kb_relative_information_score: 5214.7659, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9656, predictive_accuracy: 0.9662, prior_entropy: 0.6204, recall: 0.9662, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4561, scimark_benchmark: 1266.6858, usercpu_time_millis: 751.749, usercpu_time_millis_testing: 8.535, usercpu_time_millis_training: 743.214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1261.688, usercpu_time_millis: 355.708, usercpu_time_millis_testing: 2.766, usercpu_time_millis_training: 352.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9849, kb_relative_information_score: 6415.0174, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.153, scimark_benchmark: 1275.8559, usercpu_time_millis: 331.046, usercpu_time_millis_testing: 2.252, usercpu_time_millis_training: 328.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.9797, kb_relative_information_score: 6378.3362, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.6204, recall: 0.9947, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.1743, scimark_benchmark: 1281.0385, usercpu_time_millis: 445.871, usercpu_time_millis_testing: 2.811, usercpu_time_millis_training: 443.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1286.5238, usercpu_time_millis: 281.622, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 280.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.984, kappa: 0.9381, kb_relative_information_score: 6028.2624, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 0.6204, recall: 0.9841, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.2858, scimark_benchmark: 1256.2405, usercpu_time_millis: 527.041, usercpu_time_millis_testing: 3.843, usercpu_time_millis_training: 523.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1260.2628, usercpu_time_millis: 258.581, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 257.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9646, kappa: 0.8623, kb_relative_information_score: 5178.9849, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9645, predictive_accuracy: 0.9651, prior_entropy: 0.6204, recall: 0.9651, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4597, scimark_benchmark: 1278.2533, usercpu_time_millis: 656.982, usercpu_time_millis_testing: 6.086, usercpu_time_millis_training: 650.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1270.8755, usercpu_time_millis: 231.393, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 230.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9635, kappa: 0.8581, kb_relative_information_score: 5178.1222, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4613, scimark_benchmark: 1241.806, usercpu_time_millis: 573.919, usercpu_time_millis_testing: 6.203, usercpu_time_millis_training: 567.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6484.6472, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.1137, scimark_benchmark: 1293.7721, usercpu_time_millis: 338.035, usercpu_time_millis_testing: 2.626, usercpu_time_millis_training: 335.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6553.4919, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0479, scimark_benchmark: 1287.0587, usercpu_time_millis: 426.873, usercpu_time_millis_testing: 3.349, usercpu_time_millis_training: 423.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.6955, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0451, scimark_benchmark: 1274.8908, usercpu_time_millis: 267.157, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 266.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6557.5088, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0154, root_relative_squared_error: 0.0427, scimark_benchmark: 1261.6132, usercpu_time_millis: 411.553, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 408.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1284.8717, usercpu_time_millis: 347.101, usercpu_time_millis_testing: 2.784, usercpu_time_millis_training: 344.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9331, kappa: 0.7343, kb_relative_information_score: 3866.7234, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.933, predictive_accuracy: 0.9356, prior_entropy: 0.6204, recall: 0.9356, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.6227, scimark_benchmark: 1273.7552, usercpu_time_millis: 694.29, usercpu_time_millis_testing: 8.206, usercpu_time_millis_training: 686.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4706.018, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9487, predictive_accuracy: 0.95, prior_entropy: 0.6204, recall: 0.95, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5402, scimark_benchmark: 1264.1876, usercpu_time_millis: 689.721, usercpu_time_millis_testing: 7.272, usercpu_time_millis_training: 682.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9476, kappa: 0.7909, kb_relative_information_score: 4594.0502, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.194, root_relative_squared_error: 0.5374, scimark_benchmark: 1284.5939, usercpu_time_millis: 525.16, usercpu_time_millis_testing: 4.051, usercpu_time_millis_training: 521.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1261.046, usercpu_time_millis: 347.115, usercpu_time_millis_testing: 2.605, usercpu_time_millis_training: 344.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5287.7189, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.444, scimark_benchmark: 1272.5996, usercpu_time_millis: 778.389, usercpu_time_millis_testing: 7.581, usercpu_time_millis_training: 770.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9855, kb_relative_information_score: 6439.7428, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1436, scimark_benchmark: 1290.1959, usercpu_time_millis: 417.588, usercpu_time_millis_testing: 2.986, usercpu_time_millis_training: 414.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1276.2449, usercpu_time_millis: 261.556, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 260.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.5007, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0453, scimark_benchmark: 1279.6211, usercpu_time_millis: 282.713, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 281.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1287.8203, usercpu_time_millis: 290.678, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 289.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1271.2215, usercpu_time_millis: 262.694, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 261.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9569, kappa: 0.832, kb_relative_information_score: 4966.7889, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9567, predictive_accuracy: 0.9576, prior_entropy: 0.6204, recall: 0.9576, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4991, scimark_benchmark: 1280.557, usercpu_time_millis: 937.426, usercpu_time_millis_testing: 11.045, usercpu_time_millis_training: 926.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1275.5687, usercpu_time_millis: 314.883, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 313.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1263.7488, usercpu_time_millis: 251.781, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 251.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9424, kappa: 0.7696, kb_relative_information_score: 4212.1254, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9438, predictive_accuracy: 0.9451, prior_entropy: 0.6204, recall: 0.9451, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5759, scimark_benchmark: 1236.2762, usercpu_time_millis: 636.603, usercpu_time_millis_testing: 5.882, usercpu_time_millis_training: 630.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1244.1823, usercpu_time_millis: 282.167, usercpu_time_millis_testing: 1.492, usercpu_time_millis_training: 280.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1288.3211, usercpu_time_millis: 286.797, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 285.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.964, kappa: 0.8597, kb_relative_information_score: 5173.2429, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9639, predictive_accuracy: 0.9645, prior_entropy: 0.6204, recall: 0.9645, relative_absolute_error: 0.2102, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4614, scimark_benchmark: 1296.1733, usercpu_time_millis: 570.546, usercpu_time_millis_testing: 4.716, usercpu_time_millis_training: 565.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9711, kappa: 0.8875, kb_relative_information_score: 5490.9044, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9711, predictive_accuracy: 0.9715, prior_entropy: 0.6204, recall: 0.9715, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4076, scimark_benchmark: 1270.115, usercpu_time_millis: 542.046, usercpu_time_millis_testing: 5.09, usercpu_time_millis_training: 536.956,

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