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: 0.9987, f_measure: 0.9809, kappa: 0.9259, kb_relative_information_score: 5962.5494, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9809, predictive_accuracy: 0.9811, prior_entropy: 0.6204, recall: 0.9811, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.3084, scimark_benchmark: 1263.5369, usercpu_time_millis: 399.61, usercpu_time_millis_testing: 2.855, usercpu_time_millis_training: 396.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9201, kappa: 0.6746, kb_relative_information_score: 3518.1367, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9229, predictive_accuracy: 0.9257, prior_entropy: 0.6204, recall: 0.9257, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.6795, scimark_benchmark: 1255.323, usercpu_time_millis: 535.255, usercpu_time_millis_testing: 4.538, usercpu_time_millis_training: 530.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.9192, kappa: 0.672, kb_relative_information_score: 3499.3601, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9215, predictive_accuracy: 0.9247, prior_entropy: 0.6204, recall: 0.9247, relative_absolute_error: 0.4405, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6785, scimark_benchmark: 1276.3437, usercpu_time_millis: 706.783, usercpu_time_millis_testing: 6.438, usercpu_time_millis_training: 700.345,
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: 1264.2349, usercpu_time_millis: 242.086, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 241.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6547.9674, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0301, root_relative_squared_error: 0.0833, scimark_benchmark: 1283.6237, usercpu_time_millis: 296.785, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 295.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9657, kappa: 0.8662, kb_relative_information_score: 5189.3316, mean_absolute_error: 0.0551, 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: 0.2111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4594, scimark_benchmark: 1265.0254, usercpu_time_millis: 916.649, usercpu_time_millis_testing: 9.881, usercpu_time_millis_training: 906.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6538.4277, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0942, scimark_benchmark: 1267.7607, usercpu_time_millis: 228.034, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 226.934,
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: 1262.5746, usercpu_time_millis: 238.552, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 237.831,
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: 1253.2856, usercpu_time_millis: 235.061, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 234.355,
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: 1287.6912, usercpu_time_millis: 314.779, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 313.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6542.2508, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.0902, scimark_benchmark: 1293.3265, usercpu_time_millis: 298.709, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 297.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9682, kappa: 0.8764, kb_relative_information_score: 5469.7824, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.6204, recall: 0.9686, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4165, scimark_benchmark: 1259.1638, usercpu_time_millis: 713.934, usercpu_time_millis_testing: 6.48, usercpu_time_millis_training: 707.454,
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: 1249.7914, usercpu_time_millis: 253.352, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 252.606,
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: 1257.9253, usercpu_time_millis: 253.454, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 252.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6493.3753, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0305, root_relative_squared_error: 0.0845, scimark_benchmark: 1267.3011, usercpu_time_millis: 502.466, usercpu_time_millis_testing: 3.814, usercpu_time_millis_training: 498.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9832, kb_relative_information_score: 6370.2967, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.6204, recall: 0.9956, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.1686, scimark_benchmark: 1252.7555, usercpu_time_millis: 401.511, usercpu_time_millis_testing: 2.942, usercpu_time_millis_training: 398.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9351, kappa: 0.7399, kb_relative_information_score: 4191.6477, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9363, predictive_accuracy: 0.9383, prior_entropy: 0.6204, recall: 0.9383, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.5812, scimark_benchmark: 1275.154, usercpu_time_millis: 466.488, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 463.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.691, 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: 1269.8909, usercpu_time_millis: 276.573, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 275.659,
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: 1265.9667, usercpu_time_millis: 274.112, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 273.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9194, kappa: 0.6728, kb_relative_information_score: 3495.3913, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9216, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1269.2036, usercpu_time_millis: 721.602, usercpu_time_millis_testing: 7.571, usercpu_time_millis_training: 714.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6470.7546, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1232, scimark_benchmark: 1217.7209, usercpu_time_millis: 506.711, usercpu_time_millis_testing: 2.977, usercpu_time_millis_training: 503.734,
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: 1277.204, usercpu_time_millis: 328.888, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 327.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9572, kappa: 0.8333, kb_relative_information_score: 5013.5413, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.957, predictive_accuracy: 0.9579, prior_entropy: 0.6204, recall: 0.9579, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.4925, scimark_benchmark: 1273.6921, usercpu_time_millis: 971.3, usercpu_time_millis_testing: 10.885, usercpu_time_millis_training: 960.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9629, kappa: 0.8557, kb_relative_information_score: 5146.4262, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9628, predictive_accuracy: 0.9635, prior_entropy: 0.6204, recall: 0.9635, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4652, scimark_benchmark: 1264.3833, usercpu_time_millis: 656.071, usercpu_time_millis_testing: 5.663, usercpu_time_millis_training: 650.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9669, kappa: 0.8712, kb_relative_information_score: 5287.8969, 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: 0.1938, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.444, scimark_benchmark: 1286.619, usercpu_time_millis: 959.913, usercpu_time_millis_testing: 10.693, usercpu_time_millis_training: 949.22,
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: 1214.9098, usercpu_time_millis: 247.651, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 246.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9815, kappa: 0.9284, kb_relative_information_score: 6017.3916, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9815, predictive_accuracy: 0.9817, prior_entropy: 0.6204, recall: 0.9817, relative_absolute_error: 0.0884, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2949, scimark_benchmark: 1277.7801, usercpu_time_millis: 396.364, usercpu_time_millis_testing: 2.934, usercpu_time_millis_training: 393.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6509.1768, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0873, scimark_benchmark: 1257.2814, usercpu_time_millis: 636.604, usercpu_time_millis_testing: 6.02, usercpu_time_millis_training: 630.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.97, kappa: 0.8832, kb_relative_information_score: 5494.3334, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.97, predictive_accuracy: 0.9704, prior_entropy: 0.6204, recall: 0.9704, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4063, scimark_benchmark: 1270.1418, usercpu_time_millis: 590.305, usercpu_time_millis_testing: 4.025, usercpu_time_millis_training: 586.28,
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: 1260.5516, usercpu_time_millis: 251.814, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 251.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9493, kappa: 0.8006, kb_relative_information_score: 4617.649, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9494, predictive_accuracy: 0.9507, prior_entropy: 0.6204, recall: 0.9507, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5288, scimark_benchmark: 1277.1703, usercpu_time_millis: 759.121, usercpu_time_millis_testing: 6.491, usercpu_time_millis_training: 752.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.9319, kappa: 0.7298, kb_relative_information_score: 3842.6273, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9319, predictive_accuracy: 0.9345, prior_entropy: 0.6204, recall: 0.9345, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.6256, scimark_benchmark: 1246.7597, usercpu_time_millis: 645.252, usercpu_time_millis_testing: 6.766, usercpu_time_millis_training: 638.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5171.2849, mean_absolute_error: 0.0556, 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: 0.2132, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4623, scimark_benchmark: 1245.1736, usercpu_time_millis: 743.713, usercpu_time_millis_testing: 8.727, usercpu_time_millis_training: 734.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9489, kappa: 0.8003, kb_relative_information_score: 4703.2587, mean_absolute_error: 0.0711, 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: 0.2726, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5405, scimark_benchmark: 1267.2577, usercpu_time_millis: 539.117, usercpu_time_millis_testing: 4.937, usercpu_time_millis_training: 534.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9801, kappa: 0.9233, kb_relative_information_score: 5800.7618, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.98, predictive_accuracy: 0.9801, prior_entropy: 0.6204, recall: 0.9801, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.3451, scimark_benchmark: 1275.1128, usercpu_time_millis: 409.463, usercpu_time_millis_testing: 3.075, usercpu_time_millis_training: 406.388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6528.3258, mean_absolute_error: 0.0027, 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: 0.0103, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0742, scimark_benchmark: 1259.4885, usercpu_time_millis: 362.456, usercpu_time_millis_testing: 2.861, usercpu_time_millis_training: 359.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.5649, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0199, root_relative_squared_error: 0.055, scimark_benchmark: 1269.6179, usercpu_time_millis: 293.98, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 293.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9347, kappa: 0.7383, kb_relative_information_score: 4181.2948, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9357, predictive_accuracy: 0.9379, prior_entropy: 0.6204, recall: 0.9379, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.5824, scimark_benchmark: 1286.2988, usercpu_time_millis: 517.127, usercpu_time_millis_testing: 3.493, usercpu_time_millis_training: 513.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9631, kappa: 0.8565, kb_relative_information_score: 5148.8242, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4654, scimark_benchmark: 1276.9031, usercpu_time_millis: 810.403, usercpu_time_millis_testing: 8.158, usercpu_time_millis_training: 802.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.8012, kb_relative_information_score: 4708.2818, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.541, scimark_benchmark: 1266.4026, usercpu_time_millis: 697.566, usercpu_time_millis_testing: 6.062, usercpu_time_millis_training: 691.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9744, kappa: 0.9005, kb_relative_information_score: 5613.7472, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9745, predictive_accuracy: 0.9748, prior_entropy: 0.6204, recall: 0.9748, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3855, scimark_benchmark: 1273.4936, usercpu_time_millis: 685.553, usercpu_time_millis_testing: 5.865, usercpu_time_millis_training: 679.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.977, kappa: 0.9107, kb_relative_information_score: 5770.5632, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.977, predictive_accuracy: 0.9773, prior_entropy: 0.6204, recall: 0.9773, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.3535, scimark_benchmark: 1259.5459, usercpu_time_millis: 616.404, usercpu_time_millis_testing: 3.909, usercpu_time_millis_training: 612.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5174.9115, mean_absolute_error: 0.0554, 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: 0.2125, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4617, scimark_benchmark: 1281.9984, usercpu_time_millis: 869.306, usercpu_time_millis_testing: 9.875, usercpu_time_millis_training: 859.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9895, kappa: 0.9595, kb_relative_information_score: 6213.3412, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.2306, scimark_benchmark: 1274.3643, usercpu_time_millis: 564.877, usercpu_time_millis_testing: 4.121, usercpu_time_millis_training: 560.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9761, kb_relative_information_score: 6347.5196, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.6204, recall: 0.9938, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.1862, scimark_benchmark: 1252.741, usercpu_time_millis: 446.779, usercpu_time_millis_testing: 3.753, usercpu_time_millis_training: 443.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9822, kappa: 0.9316, kb_relative_information_score: 5820.593, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9822, predictive_accuracy: 0.9823, prior_entropy: 0.6204, recall: 0.9823, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.3188, scimark_benchmark: 1272.4345, usercpu_time_millis: 366.88, usercpu_time_millis_testing: 2.552, usercpu_time_millis_training: 364.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5168.0579, 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: 0.2137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1257.5462, usercpu_time_millis: 833.483, usercpu_time_millis_testing: 9.262, usercpu_time_millis_training: 824.221,
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: 1251.994, usercpu_time_millis: 308.512, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 307.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.7483, 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: 1272.225, usercpu_time_millis: 292.5, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 291.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6474.2406, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1045, scimark_benchmark: 1278.597, usercpu_time_millis: 578.308, usercpu_time_millis_testing: 3.468, usercpu_time_millis_training: 574.84,
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: 1275.0331, usercpu_time_millis: 323.775, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 322.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6537.4116, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.0951, scimark_benchmark: 1276.5042, usercpu_time_millis: 314.238, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 313.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9377, kappa: 0.7544, kb_relative_information_score: 4064.2723, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9374, predictive_accuracy: 0.9395, prior_entropy: 0.6204, recall: 0.9395, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.6042, scimark_benchmark: 1248.1572, usercpu_time_millis: 646.563, usercpu_time_millis_testing: 7.169, usercpu_time_millis_training: 639.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6551.251, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0795, scimark_benchmark: 1261.9814, usercpu_time_millis: 297.177, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 296.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5168.4949, 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: 0.2137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1263.151, usercpu_time_millis: 927.864, usercpu_time_millis_testing: 10.731, usercpu_time_millis_training: 917.133,
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: 1280.6959, usercpu_time_millis: 303.82, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 302.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.4403, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0208, root_relative_squared_error: 0.0577, scimark_benchmark: 1277.5935, usercpu_time_millis: 297.657, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 296.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9207, kappa: 0.6777, kb_relative_information_score: 3561.5252, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9234, predictive_accuracy: 0.9262, prior_entropy: 0.6204, recall: 0.9262, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.668, scimark_benchmark: 1252.3233, usercpu_time_millis: 668.594, usercpu_time_millis_testing: 5.896, usercpu_time_millis_training: 662.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6552.6906, mean_absolute_error: 0.002, 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: 0.0075, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0176, root_relative_squared_error: 0.0488, scimark_benchmark: 1251.76, usercpu_time_millis: 502.443, usercpu_time_millis_testing: 4.185, usercpu_time_millis_training: 498.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.936, kappa: 0.7423, kb_relative_information_score: 4280.9307, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9379, predictive_accuracy: 0.9395, prior_entropy: 0.6204, recall: 0.9395, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5778, scimark_benchmark: 1249.9055, usercpu_time_millis: 585.173, usercpu_time_millis_testing: 4.095, usercpu_time_millis_training: 581.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9657, kappa: 0.8664, kb_relative_information_score: 5227.2216, mean_absolute_error: 0.0534, 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: 0.2049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.4546, scimark_benchmark: 1270.7361, usercpu_time_millis: 858.555, usercpu_time_millis_testing: 9.157, usercpu_time_millis_training: 849.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9646, kappa: 0.8619, kb_relative_information_score: 5177.0652, mean_absolute_error: 0.0543, 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: 0.2082, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4588, scimark_benchmark: 1263.4, usercpu_time_millis: 651.263, usercpu_time_millis_testing: 6.056, usercpu_time_millis_training: 645.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.8403, 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: 0.0162, root_relative_squared_error: 0.0449, scimark_benchmark: 1262.6385, usercpu_time_millis: 306.42, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 305.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9716, kappa: 0.8895, kb_relative_information_score: 5537.6001, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9716, predictive_accuracy: 0.972, prior_entropy: 0.6204, recall: 0.972, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4003, scimark_benchmark: 1257.8034, usercpu_time_millis: 523.66, usercpu_time_millis_testing: 3.666, usercpu_time_millis_training: 519.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9488, kappa: 0.7959, kb_relative_information_score: 4634.3061, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9499, predictive_accuracy: 0.9509, prior_entropy: 0.6204, recall: 0.9509, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.5326, scimark_benchmark: 1271.5168, usercpu_time_millis: 597.904, usercpu_time_millis_testing: 3.904, usercpu_time_millis_training: 594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9897, kappa: 0.9604, kb_relative_information_score: 6127.1127, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.6204, recall: 0.9897, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2581, scimark_benchmark: 1243.5125, usercpu_time_millis: 300.149, usercpu_time_millis_testing: 2.568, usercpu_time_millis_training: 297.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9524, kappa: 0.8117, kb_relative_information_score: 4845.85, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.953, predictive_accuracy: 0.9541, prior_entropy: 0.6204, recall: 0.9541, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.5073, scimark_benchmark: 1248.1281, usercpu_time_millis: 465.63, usercpu_time_millis_testing: 3.346, usercpu_time_millis_training: 462.284,

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