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: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.2437, 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: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0676, scimark_benchmark: 1268.0803, usercpu_time_millis: 526.02, usercpu_time_millis_testing: 9.444, usercpu_time_millis_training: 516.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8583, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0008, scimark_benchmark: 1272.8111, usercpu_time_millis: 388.029, usercpu_time_millis_testing: 5.251, usercpu_time_millis_training: 382.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6563.833, mean_absolute_error: 0.0014, 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: 0.0054, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0674, scimark_benchmark: 1283.5939, usercpu_time_millis: 23.374, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 22.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9847, kb_relative_information_score: 5944.249, mean_absolute_error: 0.0333, 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: 0.1275, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.2249, scimark_benchmark: 1270.0514, usercpu_time_millis: 101.736, usercpu_time_millis_testing: 4.059, usercpu_time_millis_training: 97.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6595.1332, mean_absolute_error: 0, 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, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0002, root_relative_squared_error: 0.0005, scimark_benchmark: 1286.7435, usercpu_time_millis: 204.069, usercpu_time_millis_testing: 3.367, usercpu_time_millis_training: 200.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.0136, mean_absolute_error: 0.0008, 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: 0.0031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0692, scimark_benchmark: 1284.4881, usercpu_time_millis: 273.897, usercpu_time_millis_testing: 6.171, usercpu_time_millis_training: 267.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.205, mean_absolute_error: 0.0006, 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: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1293.0901, usercpu_time_millis: 29.918, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 28.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6421.3086, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0696, scimark_benchmark: 1260.0018, usercpu_time_millis: 401.648, usercpu_time_millis_testing: 9.003, usercpu_time_millis_training: 392.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.7223, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0032, scimark_benchmark: 1287.6202, usercpu_time_millis: 130.76, usercpu_time_millis_testing: 2.489, usercpu_time_millis_training: 128.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.6749, mean_absolute_error: 0.0008, 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: 0.003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1266.6933, usercpu_time_millis: 47.194, usercpu_time_millis_testing: 1.544, usercpu_time_millis_training: 45.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6543.8967, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.009, root_relative_squared_error: 0.0251, scimark_benchmark: 1297.565, usercpu_time_millis: 290.43, usercpu_time_millis_testing: 5.209, usercpu_time_millis_training: 285.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.0687, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0025, root_relative_squared_error: 0.007, scimark_benchmark: 1273.6694, usercpu_time_millis: 186.917, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 183.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6551.3319, mean_absolute_error: 0.0022, 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: 0.0085, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0249, root_relative_squared_error: 0.0689, scimark_benchmark: 1279.4072, usercpu_time_millis: 154.873, usercpu_time_millis_testing: 3.982, usercpu_time_millis_training: 150.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.3049, mean_absolute_error: 0.0007, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1264.3435, usercpu_time_millis: 160.862, usercpu_time_millis_testing: 2.752, usercpu_time_millis_training: 158.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.3899, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0017, root_relative_squared_error: 0.0047, scimark_benchmark: 1289.4612, usercpu_time_millis: 439.944, usercpu_time_millis_testing: 6.867, usercpu_time_millis_training: 433.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2007, mean_absolute_error: 0.0006, 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: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1267.1073, usercpu_time_millis: 424.929, usercpu_time_millis_testing: 6.822, usercpu_time_millis_training: 418.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.8329, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.001, root_relative_squared_error: 0.0026, scimark_benchmark: 1267.5361, usercpu_time_millis: 415.5, usercpu_time_millis_testing: 5.864, usercpu_time_millis_training: 409.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9925, kappa: 0.971, kb_relative_information_score: 5668.847, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.6204, recall: 0.9926, relative_absolute_error: 0.1766, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2765, scimark_benchmark: 1273.3944, usercpu_time_millis: 184.663, usercpu_time_millis_testing: 8.453, usercpu_time_millis_training: 176.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6295.5839, mean_absolute_error: 0.0174, 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: 0.0667, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1166, scimark_benchmark: 1292.3116, usercpu_time_millis: 58.082, usercpu_time_millis_testing: 2.225, usercpu_time_millis_training: 55.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6170.0347, mean_absolute_error: 0.0249, 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: 0.0956, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1412, scimark_benchmark: 1276.7821, usercpu_time_millis: 205.036, usercpu_time_millis_testing: 7.54, usercpu_time_millis_training: 197.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6521.0391, mean_absolute_error: 0.0042, 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: 0.016, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0251, root_relative_squared_error: 0.0694, scimark_benchmark: 1292.0662, usercpu_time_millis: 311.833, usercpu_time_millis_testing: 7.441, usercpu_time_millis_training: 304.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9576, kb_relative_information_score: 5443.9482, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.318, scimark_benchmark: 1289.7544, usercpu_time_millis: 288.317, usercpu_time_millis_testing: 13.369, usercpu_time_millis_training: 274.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.0886, mean_absolute_error: 0.0006, 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: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1289.4309, usercpu_time_millis: 150.546, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 147.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.555, mean_absolute_error: 0.0011, 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: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0242, root_relative_squared_error: 0.0671, scimark_benchmark: 1267.2754, usercpu_time_millis: 287.585, usercpu_time_millis_testing: 4.947, usercpu_time_millis_training: 282.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6566.1707, mean_absolute_error: 0.0013, 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: 0.0048, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0679, scimark_benchmark: 1266.4011, usercpu_time_millis: 476.845, usercpu_time_millis_testing: 9.023, usercpu_time_millis_training: 467.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6590.617, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0086, root_relative_squared_error: 0.0238, scimark_benchmark: 1270.3426, usercpu_time_millis: 30.518, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 29.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6577.2364, mean_absolute_error: 0.0009, 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: 0.0033, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0188, root_relative_squared_error: 0.0521, scimark_benchmark: 1269.0308, usercpu_time_millis: 30.086, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 28.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9658, kappa: 0.8662, kb_relative_information_score: 4767.8506, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9659, predictive_accuracy: 0.9665, prior_entropy: 0.6204, recall: 0.9665, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4586, scimark_benchmark: 1294.5878, usercpu_time_millis: 10.257, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 8.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6573.8905, mean_absolute_error: 0.0008, 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: 0.0029, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.025, root_relative_squared_error: 0.0693, scimark_benchmark: 1298.6067, usercpu_time_millis: 154.847, usercpu_time_millis_testing: 4.022, usercpu_time_millis_training: 150.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9859, kb_relative_information_score: 5530.0732, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2892, scimark_benchmark: 1292.0852, usercpu_time_millis: 151.587, usercpu_time_millis_testing: 7.452, usercpu_time_millis_training: 144.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6587.1354, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.009, root_relative_squared_error: 0.0249, scimark_benchmark: 1270.4427, usercpu_time_millis: 147.703, usercpu_time_millis_testing: 4.314, usercpu_time_millis_training: 143.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6401.3173, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.0721, scimark_benchmark: 1276.6899, usercpu_time_millis: 143.481, usercpu_time_millis_testing: 5.745, usercpu_time_millis_training: 137.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6593.1102, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0005, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0029, root_relative_squared_error: 0.008, scimark_benchmark: 1287.1178, usercpu_time_millis: 429.993, usercpu_time_millis_testing: 7.687, usercpu_time_millis_training: 422.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6521.9072, mean_absolute_error: 0.0041, 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: 0.0158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0243, root_relative_squared_error: 0.0673, scimark_benchmark: 1272.347, usercpu_time_millis: 349.091, usercpu_time_millis_testing: 5.918, usercpu_time_millis_training: 343.173,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6401.4885, mean_absolute_error: 0.0114, 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: 0.0436, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0909, scimark_benchmark: 1272.1973, usercpu_time_millis: 186.346, usercpu_time_millis_testing: 3.999, usercpu_time_millis_training: 182.347,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6567.5461, mean_absolute_error: 0.0012, 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: 0.0045, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0245, root_relative_squared_error: 0.0678, scimark_benchmark: 1292.8056, usercpu_time_millis: 410.052, usercpu_time_millis_testing: 7.427, usercpu_time_millis_training: 402.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6536.0471, mean_absolute_error: 0.0017, 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: 0.0066, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.034, root_relative_squared_error: 0.0942, scimark_benchmark: 1292.3307, usercpu_time_millis: 8.849, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 7.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9859, kb_relative_information_score: 5832.3211, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2435, scimark_benchmark: 1299.177, usercpu_time_millis: 99.586, usercpu_time_millis_testing: 4.203, usercpu_time_millis_training: 95.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.3794, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0011, root_relative_squared_error: 0.0031, scimark_benchmark: 1271.872, usercpu_time_millis: 283.841, usercpu_time_millis_testing: 3.968, usercpu_time_millis_training: 279.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6592.8071, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0034, scimark_benchmark: 1297.9716, usercpu_time_millis: 536.148, usercpu_time_millis_testing: 7.047, usercpu_time_millis_training: 529.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 5820.3854, mean_absolute_error: 0.0409, 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: 0.1569, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.2366, scimark_benchmark: 1297.0675, usercpu_time_millis: 322.808, usercpu_time_millis_testing: 12.829, usercpu_time_millis_training: 309.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6313.4581, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.107, scimark_benchmark: 1262.1093, usercpu_time_millis: 314.621, usercpu_time_millis_testing: 8.125, usercpu_time_millis_training: 306.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6570.4683, 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: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0681, scimark_benchmark: 1288.3872, usercpu_time_millis: 92.641, usercpu_time_millis_testing: 1.991, usercpu_time_millis_training: 90.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6442.9738, mean_absolute_error: 0.0096, 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: 0.0368, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0235, root_relative_squared_error: 0.065, scimark_benchmark: 1287.7932, usercpu_time_millis: 79.588, usercpu_time_millis_testing: 3.583, usercpu_time_millis_training: 76.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6564.592, mean_absolute_error: 0.0014, 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: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0244, root_relative_squared_error: 0.0675, scimark_benchmark: 1289.2847, usercpu_time_millis: 460.218, usercpu_time_millis_testing: 7.009, usercpu_time_millis_training: 453.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6564.2589, mean_absolute_error: 0.0012, 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: 0.0047, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0289, root_relative_squared_error: 0.0799, scimark_benchmark: 1267.1858, usercpu_time_millis: 83.162, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 79.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6579.8033, 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: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0062, root_relative_squared_error: 0.0172, scimark_benchmark: 1291.4494, usercpu_time_millis: 113.647, usercpu_time_millis_testing: 2.931, usercpu_time_millis_training: 110.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6569.5811, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0051, root_relative_squared_error: 0.0142, scimark_benchmark: 1274.7645, usercpu_time_millis: 437.72, usercpu_time_millis_testing: 8.958, usercpu_time_millis_training: 428.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6063.3475, mean_absolute_error: 0.0307, 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: 0.1177, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1667, scimark_benchmark: 1269.3476, usercpu_time_millis: 285.827, usercpu_time_millis_testing: 12.856, usercpu_time_millis_training: 272.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.0279, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0023, root_relative_squared_error: 0.0063, scimark_benchmark: 1263.8679, usercpu_time_millis: 244.13, usercpu_time_millis_testing: 4.658, usercpu_time_millis_training: 239.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.879, mean_absolute_error: 0, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0001, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0008, root_relative_squared_error: 0.0023, scimark_benchmark: 1267.9402, usercpu_time_millis: 367.453, usercpu_time_millis_testing: 6.527, usercpu_time_millis_training: 360.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6579.3828, 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: 0.004, root_relative_squared_error: 0.011, scimark_benchmark: 1267.4395, usercpu_time_millis: 105.093, usercpu_time_millis_testing: 2.566, usercpu_time_millis_training: 102.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6581.2029, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0078, root_relative_squared_error: 0.0216, scimark_benchmark: 1277.0735, usercpu_time_millis: 273.817, usercpu_time_millis_testing: 8.327, usercpu_time_millis_training: 265.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6594.4138, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0018, root_relative_squared_error: 0.0051, scimark_benchmark: 1297.819, usercpu_time_millis: 338.736, usercpu_time_millis_testing: 5.65, usercpu_time_millis_training: 333.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6550.5928, 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: 0.0056, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0796, scimark_benchmark: 1291.0937, usercpu_time_millis: 9.706, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 8.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6553.1248, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0071, root_relative_squared_error: 0.0197, scimark_benchmark: 1288.1478, usercpu_time_millis: 533.807, usercpu_time_millis_testing: 9.114, usercpu_time_millis_training: 524.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6574.4728, mean_absolute_error: 0.0007, 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: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0683, scimark_benchmark: 1288.5535, usercpu_time_millis: 486.043, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 478.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6575.7815, mean_absolute_error: 0.0006, 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: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0683, scimark_benchmark: 1272.5498, usercpu_time_millis: 334.466, usercpu_time_millis_testing: 5.049, usercpu_time_millis_training: 329.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6532.4439, mean_absolute_error: 0.0034, 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: 0.0132, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0233, root_relative_squared_error: 0.0645, scimark_benchmark: 1286.0173, usercpu_time_millis: 329.666, usercpu_time_millis_testing: 5.926, usercpu_time_millis_training: 323.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6576.2955, mean_absolute_error: 0.0006, 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: 0.0023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0246, root_relative_squared_error: 0.0682, scimark_benchmark: 1283.3537, usercpu_time_millis: 454.097, usercpu_time_millis_testing: 6.043, usercpu_time_millis_training: 448.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9479, kappa: 0.7875, kb_relative_information_score: 3984.002, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9542, predictive_accuracy: 0.9517, prior_entropy: 0.6204, recall: 0.9517, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.192, root_relative_squared_error: 0.5316, scimark_benchmark: 1292.5895, usercpu_time_millis: 26.645, usercpu_time_millis_testing: 2.472, usercpu_time_millis_training: 24.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6584.3689, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0112, root_relative_squared_error: 0.0311, scimark_benchmark: 1274.0914, usercpu_time_millis: 168.466, usercpu_time_millis_testing: 5.369, usercpu_time_millis_training: 163.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9903, kappa: 0.9625, kb_relative_information_score: 5498.6532, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3068, scimark_benchmark: 1284.1096, usercpu_time_millis: 90.154, usercpu_time_millis_testing: 4.045, usercpu_time_millis_training: 86.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6550.4135, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0076, root_relative_squared_error: 0.0212, scimark_benchmark: 1272.625, usercpu_time_millis: 737.563, usercpu_time_millis_testing: 9.578, usercpu_time_millis_training: 727.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5960.4419, mean_absolute_error: 0.0355, 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: 0.1361, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.1942, scimark_benchmark: 1292.7914, usercpu_time_millis: 193.991, usercpu_time_millis_testing: 8.652, usercpu_time_millis_training: 185.339,

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