OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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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: 1240.5328, usercpu_time_millis: 279.466, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 278.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9776, kappa: 0.9128, kb_relative_information_score: 5698.7746, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9776, predictive_accuracy: 0.9779, prior_entropy: 0.6204, recall: 0.9779, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.3623, scimark_benchmark: 1284.6655, usercpu_time_millis: 980.249, usercpu_time_millis_testing: 13.068, usercpu_time_millis_training: 967.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5167.7187, mean_absolute_error: 0.0558, 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: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4627, scimark_benchmark: 1270.1559, usercpu_time_millis: 761.681, usercpu_time_millis_testing: 9.384, usercpu_time_millis_training: 752.297,
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: 1240.3713, usercpu_time_millis: 243.962, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 243.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0753, 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: 0.0156, root_relative_squared_error: 0.0433, scimark_benchmark: 1242.6225, usercpu_time_millis: 235.203, usercpu_time_millis_testing: 1.532, usercpu_time_millis_training: 233.671,
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: 1261.8699, usercpu_time_millis: 227.187, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 226.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9527, kappa: 0.8148, kb_relative_information_score: 4846.1146, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9526, predictive_accuracy: 0.9538, prior_entropy: 0.6204, recall: 0.9538, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.5132, scimark_benchmark: 1246.3087, usercpu_time_millis: 629.549, usercpu_time_millis_testing: 6.321, usercpu_time_millis_training: 623.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.474, 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: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0169, root_relative_squared_error: 0.0468, scimark_benchmark: 1240.9457, usercpu_time_millis: 217.268, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 215.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9383, kappa: 0.756, kb_relative_information_score: 4042.4492, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9383, predictive_accuracy: 0.9404, prior_entropy: 0.6204, recall: 0.9404, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6059, scimark_benchmark: 1229.0709, usercpu_time_millis: 645.175, usercpu_time_millis_testing: 6.832, usercpu_time_millis_training: 638.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9388, kappa: 0.7555, kb_relative_information_score: 4271.2913, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9398, predictive_accuracy: 0.9416, prior_entropy: 0.6204, recall: 0.9416, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.5707, scimark_benchmark: 1277.9951, usercpu_time_millis: 409.466, usercpu_time_millis_testing: 2.729, usercpu_time_millis_training: 406.737,
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: 1238.2387, usercpu_time_millis: 252.29, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 251.549,
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: 1216.3108, usercpu_time_millis: 248.732, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 247.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9868, kappa: 0.9493, kb_relative_information_score: 5985.8136, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2826, scimark_benchmark: 1284.0799, usercpu_time_millis: 341.025, usercpu_time_millis_testing: 2.334, usercpu_time_millis_training: 338.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9889, kappa: 0.9574, kb_relative_information_score: 6071.8436, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.2627, scimark_benchmark: 1237.5602, usercpu_time_millis: 349.133, usercpu_time_millis_testing: 2.696, usercpu_time_millis_training: 346.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9889, kappa: 0.9576, kb_relative_information_score: 6100.7928, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.096, root_relative_squared_error: 0.2659, scimark_benchmark: 1233.3529, usercpu_time_millis: 351.285, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 348.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9904, kappa: 0.9632, kb_relative_information_score: 6157.7874, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.0659, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2414, scimark_benchmark: 1279.4697, usercpu_time_millis: 326.913, usercpu_time_millis_testing: 2.43, usercpu_time_millis_training: 324.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6491.8393, 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: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0311, root_relative_squared_error: 0.0861, scimark_benchmark: 1225.9037, usercpu_time_millis: 465.252, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 461.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9762, kappa: 0.9074, kb_relative_information_score: 5703.3628, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.6204, recall: 0.9765, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.368, scimark_benchmark: 1231.1682, usercpu_time_millis: 628.018, usercpu_time_millis_testing: 5.233, usercpu_time_millis_training: 622.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9761, kb_relative_information_score: 6330.0004, mean_absolute_error: 0.0109, 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: 0.0418, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.1926, scimark_benchmark: 1281.0535, usercpu_time_millis: 365.936, usercpu_time_millis_testing: 2.929, usercpu_time_millis_training: 363.007,
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: 1268.4419, usercpu_time_millis: 227.785, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 227.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9734, kappa: 0.8962, kb_relative_information_score: 5591.2919, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.6204, recall: 0.9738, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.3922, scimark_benchmark: 1239.9693, usercpu_time_millis: 590.868, usercpu_time_millis_testing: 4.412, usercpu_time_millis_training: 586.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6511.8285, mean_absolute_error: 0.0035, 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: 0.0133, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1109, scimark_benchmark: 1282.2237, usercpu_time_millis: 217.141, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 216.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.4681, 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: 0.0248, root_relative_squared_error: 0.0687, scimark_benchmark: 1223.9423, usercpu_time_millis: 265.1, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 264.196,
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: 1283.5927, usercpu_time_millis: 228.679, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 227.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6947, 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: 1284.4424, usercpu_time_millis: 229.609, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 228.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6501.4927, mean_absolute_error: 0.0038, 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: 0.0146, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1164, scimark_benchmark: 1227.9554, usercpu_time_millis: 284.896, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 283.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9764, kappa: 0.9084, kb_relative_information_score: 5772.3464, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9764, predictive_accuracy: 0.9767, prior_entropy: 0.6204, recall: 0.9767, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.351, scimark_benchmark: 1277.3545, usercpu_time_millis: 391.107, usercpu_time_millis_testing: 2.871, usercpu_time_millis_training: 388.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.989, kb_relative_information_score: 6461.0727, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1311, scimark_benchmark: 1233.3049, usercpu_time_millis: 329.273, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 327.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3494.3593, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1282.4701, usercpu_time_millis: 572.376, usercpu_time_millis_testing: 5.713, usercpu_time_millis_training: 566.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5148.4171, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4654, scimark_benchmark: 1236.4608, usercpu_time_millis: 739.802, usercpu_time_millis_testing: 7.705, usercpu_time_millis_training: 732.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.963, kappa: 0.856, kb_relative_information_score: 5154.7701, mean_absolute_error: 0.0558, 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: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4645, scimark_benchmark: 1288.6747, usercpu_time_millis: 689.285, usercpu_time_millis_testing: 8.096, usercpu_time_millis_training: 681.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9628, kappa: 0.8551, kb_relative_information_score: 5145.8153, mean_absolute_error: 0.0563, 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: 0.2157, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4653, scimark_benchmark: 1294.379, usercpu_time_millis: 685.521, usercpu_time_millis_testing: 7.696, usercpu_time_millis_training: 677.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9796, kappa: 0.9212, kb_relative_information_score: 5845.9935, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9795, predictive_accuracy: 0.9797, prior_entropy: 0.6204, recall: 0.9797, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.3366, scimark_benchmark: 1250.2673, usercpu_time_millis: 340.816, usercpu_time_millis_testing: 2.588, usercpu_time_millis_training: 338.228,
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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: 1267.7195, usercpu_time_millis: 257.711, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 256.942,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.4085, 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: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0091, root_relative_squared_error: 0.0251, scimark_benchmark: 1238.1343, usercpu_time_millis: 285.879, usercpu_time_millis_testing: 2.259, usercpu_time_millis_training: 283.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9708, kappa: 0.8863, kb_relative_information_score: 5529.4354, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9708, predictive_accuracy: 0.9712, prior_entropy: 0.6204, recall: 0.9712, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3992, scimark_benchmark: 1286.569, usercpu_time_millis: 419.124, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 415.993,
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: 1272.4534, usercpu_time_millis: 237.864, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 236.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6489.3871, mean_absolute_error: 0.0045, 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: 0.0172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.111, scimark_benchmark: 1290.0314, usercpu_time_millis: 284.983, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 282.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9962, kappa: 0.9855, kb_relative_information_score: 6402.4772, mean_absolute_error: 0.0079, 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: 0.0303, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1534, scimark_benchmark: 1238.0618, usercpu_time_millis: 373.748, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 371.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9771, kappa: 0.9112, kb_relative_information_score: 5780.668, mean_absolute_error: 0.0331, 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: 0.1268, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.3523, scimark_benchmark: 1250.4036, usercpu_time_millis: 358.626, usercpu_time_millis_testing: 2.534, usercpu_time_millis_training: 356.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6544.1297, mean_absolute_error: 0.0021, 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: 0.0079, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.0882, scimark_benchmark: 1226.0288, usercpu_time_millis: 237.245, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 236.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6521.5188, mean_absolute_error: 0.0031, 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: 0.012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.1057, scimark_benchmark: 1285.5215, usercpu_time_millis: 219.634, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 218.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.9139, 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: 0.0447, scimark_benchmark: 1249.8715, usercpu_time_millis: 252.166, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 251.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.0888, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5407, scimark_benchmark: 1282.9807, usercpu_time_millis: 553.298, usercpu_time_millis_testing: 4.926, usercpu_time_millis_training: 548.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9403, kappa: 0.7617, kb_relative_information_score: 4306.081, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9413, predictive_accuracy: 0.943, prior_entropy: 0.6204, recall: 0.943, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.5662, scimark_benchmark: 1217.2848, usercpu_time_millis: 399.173, usercpu_time_millis_testing: 2.868, usercpu_time_millis_training: 396.305,
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: 1286.1066, usercpu_time_millis: 215.018, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 214.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5148.9147, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9631, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4652, scimark_benchmark: 1253.2854, usercpu_time_millis: 712.936, usercpu_time_millis_testing: 7.484, usercpu_time_millis_training: 705.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9492, kappa: 0.8015, kb_relative_information_score: 4706.5595, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5402, scimark_benchmark: 1243.8588, usercpu_time_millis: 618.966, usercpu_time_millis_testing: 7.336, usercpu_time_millis_training: 611.63,
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: 1279.0871, usercpu_time_millis: 226.199, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 225.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6574.7415, mean_absolute_error: 0.0008, 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: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.018, root_relative_squared_error: 0.05, scimark_benchmark: 1274.3643, usercpu_time_millis: 218.168, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 217.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9617, kappa: 0.8502, kb_relative_information_score: 5052.0685, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.6204, recall: 0.9624, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.4825, scimark_benchmark: 1254.6247, usercpu_time_millis: 557.592, usercpu_time_millis_testing: 6.508, usercpu_time_millis_training: 551.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.991, kappa: 0.9655, kb_relative_information_score: 6166.4844, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6204, recall: 0.9911, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.2389, scimark_benchmark: 1283.5911, usercpu_time_millis: 296.49, usercpu_time_millis_testing: 2.214, usercpu_time_millis_training: 294.276,
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: 1234.4147, usercpu_time_millis: 253.845, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 253.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6494.8938, mean_absolute_error: 0.004, 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: 0.0154, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.1197, scimark_benchmark: 1258.881, usercpu_time_millis: 245.879, usercpu_time_millis_testing: 1.176, usercpu_time_millis_training: 244.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6544.5135, mean_absolute_error: 0.002, 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: 0.0078, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0317, root_relative_squared_error: 0.0878, scimark_benchmark: 1285.4434, usercpu_time_millis: 226.702, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 225.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9515, kappa: 0.8083, kb_relative_information_score: 4587.4908, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9518, predictive_accuracy: 0.953, prior_entropy: 0.6204, recall: 0.953, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.5254, scimark_benchmark: 1247.3628, usercpu_time_millis: 429.354, usercpu_time_millis_testing: 2.697, usercpu_time_millis_training: 426.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6518.299, mean_absolute_error: 0.0031, 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: 0.0121, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0896, scimark_benchmark: 1247.4798, usercpu_time_millis: 423.543, usercpu_time_millis_testing: 2.835, usercpu_time_millis_training: 420.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9735, kappa: 0.8973, kb_relative_information_score: 5453.7002, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.6204, recall: 0.9738, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3856, scimark_benchmark: 1248.1935, usercpu_time_millis: 392.183, usercpu_time_millis_testing: 2.713, usercpu_time_millis_training: 389.47,
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: 1243.1269, usercpu_time_millis: 275.15, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 274.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9494, kappa: 0.8035, kb_relative_information_score: 4677.1661, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9491, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5401, scimark_benchmark: 1294.5627, usercpu_time_millis: 592.198, usercpu_time_millis_testing: 6.75, usercpu_time_millis_training: 585.448,
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: 1277.1736, usercpu_time_millis: 223.412, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 222.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9494, kb_relative_information_score: 6123.9515, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.2573, scimark_benchmark: 1286.5244, usercpu_time_millis: 487.017, usercpu_time_millis_testing: 3.799, usercpu_time_millis_training: 483.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9944, kappa: 0.9785, kb_relative_information_score: 6310.3101, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1975, scimark_benchmark: 1276.7134, usercpu_time_millis: 301.804, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 299.726,
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: 1247.9245, usercpu_time_millis: 249.856, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 249.077,
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: 1229.0569, usercpu_time_millis: 259.853, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 259.098,
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: 1234.4124, usercpu_time_millis: 267.569, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 266.8,

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