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: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1236.041, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 1.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1268.8705, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 1.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1261.4485, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1273.0862, usercpu_time_millis: 1.803, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1232.339, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.7066, mean_absolute_error: 0.0711, 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: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5407, scimark_benchmark: 1223.7772, usercpu_time_millis: 739.352, usercpu_time_millis_testing: 6.185, usercpu_time_millis_training: 733.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9297, kappa: 0.7152, kb_relative_information_score: 4022.7542, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9325, predictive_accuracy: 0.9342, prior_entropy: 0.6204, recall: 0.9342, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.6103, scimark_benchmark: 1229.1223, usercpu_time_millis: 650.575, usercpu_time_millis_testing: 4.88, usercpu_time_millis_training: 645.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9633, kappa: 0.8571, kb_relative_information_score: 5148.9097, 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: 1269.7598, usercpu_time_millis: 632.883, usercpu_time_millis_testing: 6.707, usercpu_time_millis_training: 626.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9937, kappa: 0.9757, kb_relative_information_score: 6319.7795, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.6204, recall: 0.9936, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1897, scimark_benchmark: 1232.4649, usercpu_time_millis: 337.552, usercpu_time_millis_testing: 2.65, usercpu_time_millis_training: 334.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9606, kappa: 0.846, kb_relative_information_score: 5089.8202, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9605, predictive_accuracy: 0.9614, prior_entropy: 0.6204, recall: 0.9614, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.171, root_relative_squared_error: 0.4736, scimark_benchmark: 1220.6983, usercpu_time_millis: 641.718, usercpu_time_millis_testing: 6.621, usercpu_time_millis_training: 635.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6481.1735, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1192, scimark_benchmark: 1266.6687, usercpu_time_millis: 267.553, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 265.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9491, kappa: 0.8013, kb_relative_information_score: 4710.3926, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9489, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5392, scimark_benchmark: 1229.6879, usercpu_time_millis: 633.097, usercpu_time_millis_testing: 6.515, usercpu_time_millis_training: 626.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9799, kappa: 0.9223, kb_relative_information_score: 5915.1237, mean_absolute_error: 0.0262, 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: 0.1006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3201, scimark_benchmark: 1259.5222, usercpu_time_millis: 489.529, usercpu_time_millis_testing: 4.174, usercpu_time_millis_training: 485.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.949, kappa: 0.8005, kb_relative_information_score: 4702.7877, mean_absolute_error: 0.0712, 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: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1231.6141, usercpu_time_millis: 685.283, usercpu_time_millis_testing: 6.761, usercpu_time_millis_training: 678.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9769, kappa: 0.9106, kb_relative_information_score: 5772.32, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.354, scimark_benchmark: 1259.4286, usercpu_time_millis: 340.404, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 337.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.0477, mean_absolute_error: 0.0022, 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: 0.0083, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0234, root_relative_squared_error: 0.0647, scimark_benchmark: 1213.0528, usercpu_time_millis: 270.698, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 269.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9494, kappa: 0.8021, kb_relative_information_score: 4704.1715, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9491, predictive_accuracy: 0.9504, prior_entropy: 0.6204, recall: 0.9504, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1265.6131, usercpu_time_millis: 655.094, usercpu_time_millis_testing: 6.859, usercpu_time_millis_training: 648.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9906, kappa: 0.9637, kb_relative_information_score: 6160.8717, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2406, scimark_benchmark: 1222.4364, usercpu_time_millis: 312.588, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 310.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9874, kappa: 0.9516, kb_relative_information_score: 6006.0085, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.278, scimark_benchmark: 1232.1594, usercpu_time_millis: 318.137, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 315.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.961, kappa: 0.8479, kb_relative_information_score: 4975.8433, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9609, predictive_accuracy: 0.9617, prior_entropy: 0.6204, recall: 0.9617, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.4811, scimark_benchmark: 1272.1985, usercpu_time_millis: 532.679, usercpu_time_millis_testing: 6.515, usercpu_time_millis_training: 526.164,
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: 1232.3898, usercpu_time_millis: 263.196, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 262.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6577.6858, 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: 0.0128, root_relative_squared_error: 0.0355, scimark_benchmark: 1219.9437, usercpu_time_millis: 255.239, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 253.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9777, kappa: 0.9135, kb_relative_information_score: 5822.6844, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.6204, recall: 0.978, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3417, scimark_benchmark: 1245.6286, usercpu_time_millis: 523.489, usercpu_time_millis_testing: 4.034, usercpu_time_millis_training: 519.455,
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: 1272.7465, usercpu_time_millis: 231.64, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 230.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9558, kappa: 0.8261, kb_relative_information_score: 4730.6247, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9561, predictive_accuracy: 0.9571, prior_entropy: 0.6204, recall: 0.9571, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5036, scimark_benchmark: 1220.3531, usercpu_time_millis: 425.357, usercpu_time_millis_testing: 2.962, usercpu_time_millis_training: 422.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6566.2522, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0141, root_relative_squared_error: 0.0389, scimark_benchmark: 1219.7752, usercpu_time_millis: 425.963, usercpu_time_millis_testing: 2.501, usercpu_time_millis_training: 423.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6485.9862, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1245, scimark_benchmark: 1255.9048, usercpu_time_millis: 234.218, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 232.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9555, kappa: 0.8248, kb_relative_information_score: 4715.4502, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9558, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.506, scimark_benchmark: 1269.8375, usercpu_time_millis: 345.437, usercpu_time_millis_testing: 2.595, usercpu_time_millis_training: 342.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9653, kappa: 0.8651, kb_relative_information_score: 5195.3044, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9652, predictive_accuracy: 0.9657, prior_entropy: 0.6204, recall: 0.9657, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4573, scimark_benchmark: 1222.4577, usercpu_time_millis: 801.558, usercpu_time_millis_testing: 8.601, usercpu_time_millis_training: 792.957,
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: 1219.5945, usercpu_time_millis: 233.258, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 232.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9631, kappa: 0.8562, kb_relative_information_score: 5217.566, mean_absolute_error: 0.0527, 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: 0.2019, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4577, scimark_benchmark: 1276.395, usercpu_time_millis: 656.957, usercpu_time_millis_testing: 8.022, usercpu_time_millis_training: 648.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9686, kappa: 0.8769, kb_relative_information_score: 5334.1952, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9688, predictive_accuracy: 0.9692, prior_entropy: 0.6204, recall: 0.9692, relative_absolute_error: 0.191, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4207, scimark_benchmark: 1228.8929, usercpu_time_millis: 403.511, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 400.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.9127, mean_absolute_error: 0.0711, 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: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5404, scimark_benchmark: 1266.9065, usercpu_time_millis: 665.97, usercpu_time_millis_testing: 7.291, usercpu_time_millis_training: 658.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9772, kappa: 0.9118, kb_relative_information_score: 5794.5197, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9772, predictive_accuracy: 0.9774, prior_entropy: 0.6204, recall: 0.9774, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.126, root_relative_squared_error: 0.349, scimark_benchmark: 1237.758, usercpu_time_millis: 340.04, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 337.336,
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: 1257.5173, usercpu_time_millis: 217.187, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 216.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9283, kappa: 0.7021, kb_relative_information_score: 3556.3806, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9401, predictive_accuracy: 0.9356, prior_entropy: 0.6204, recall: 0.9356, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.6085, scimark_benchmark: 1231.8924, usercpu_time_millis: 2.33, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1220.0838, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6499.8645, mean_absolute_error: 0.0059, 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: 0.0225, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0195, root_relative_squared_error: 0.0541, scimark_benchmark: 1269.5759, usercpu_time_millis: 5.906, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 5.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2408.574, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.4724, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6301, scimark_benchmark: 1272.6259, usercpu_time_millis: 461.262, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 460.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6519.654, mean_absolute_error: 0.0046, 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: 0.0176, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0179, root_relative_squared_error: 0.0496, scimark_benchmark: 1219.1588, usercpu_time_millis: 14.209, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 13.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6454.979, mean_absolute_error: 0.0087, 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: 0.0335, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0218, root_relative_squared_error: 0.0605, scimark_benchmark: 1224.4493, usercpu_time_millis: 8.401, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 7.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6524.6735, mean_absolute_error: 0.0043, 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: 0.0163, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0178, root_relative_squared_error: 0.0492, scimark_benchmark: 1231.3026, usercpu_time_millis: 14.398, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 13.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 5504.2984, mean_absolute_error: 0.0637, 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: 0.2441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.2709, scimark_benchmark: 1273.4663, usercpu_time_millis: 5.089, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 4.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.7832, kappa: 0.0361, kb_relative_information_score: 1908.695, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.872, predictive_accuracy: 0.8492, prior_entropy: 0.6204, recall: 0.8492, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.8039, scimark_benchmark: 1221.7643, usercpu_time_millis: 2.242, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 1.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6409.7098, mean_absolute_error: 0.0116, 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: 0.0445, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0253, root_relative_squared_error: 0.07, scimark_benchmark: 1274.9179, usercpu_time_millis: 6.485, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 6.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6478.0768, mean_absolute_error: 0.0073, 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: 0.0278, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0555, scimark_benchmark: 1260.1815, usercpu_time_millis: 11.504, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 11.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1257.5438, usercpu_time_millis: 1.965, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8541, kappa: 0.3639, kb_relative_information_score: 2311.4026, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8986, predictive_accuracy: 0.8848, prior_entropy: 0.6204, recall: 0.8848, relative_absolute_error: 0.7379, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.7619, scimark_benchmark: 1219.1132, usercpu_time_millis: 1.982, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7752, kb_relative_information_score: 38.9419, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.9933, scimark_benchmark: 1227.4666, usercpu_time_millis: 2.257, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 1.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1216.028, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1269.1683, usercpu_time_millis: 1.884, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2369.1313, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.6323, scimark_benchmark: 1273.5826, usercpu_time_millis: 478.841, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 478.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1228.6336, usercpu_time_millis: 2.095, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 5623.8483, mean_absolute_error: 0.0574, 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: 0.2201, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.2458, scimark_benchmark: 1264.5943, usercpu_time_millis: 5.018, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 4.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1220.6346, usercpu_time_millis: 1.957, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 1.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7752, kb_relative_information_score: 457.1747, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.9644, scimark_benchmark: 1271.2653, usercpu_time_millis: 1.954, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9681, kappa: 0.8729, kb_relative_information_score: 4391.7783, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9706, predictive_accuracy: 0.9695, prior_entropy: 0.6204, recall: 0.9695, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4859, scimark_benchmark: 1224.1097, usercpu_time_millis: 2.578, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.7752, kb_relative_information_score: 3.4106, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9999, scimark_benchmark: 1279.8592, usercpu_time_millis: 1.885, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7752, kb_relative_information_score: -12482.9447, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.917, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.5, root_relative_squared_error: 1.3847, scimark_benchmark: 1213.6706, usercpu_time_millis: 689.211, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 688.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1228.9335, usercpu_time_millis: 2.027, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1266.0345, usercpu_time_millis: 1.877, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1222.4732, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 1.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1282.7981, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 5400.3007, mean_absolute_error: 0.069, 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: 0.2647, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2974, scimark_benchmark: 1240.6088, usercpu_time_millis: 3.664, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 3.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6132.7746, mean_absolute_error: 0.0285, 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: 0.1094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1298, scimark_benchmark: 1220.7814, usercpu_time_millis: 15.076, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 14.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6417.1981, mean_absolute_error: 0.0111, 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: 0.0427, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1241.7098, usercpu_time_millis: 6.832, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 6.433,

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