OpenML
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 3574 Supervised Classification rmftsa_sleepdata 421 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.3839, kappa: 0.1773, kb_relative_information_score: 258.7245, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3848, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.2443, scimark_benchmark: 1354.3488, usercpu_time_millis: 280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.3933, kappa: 0.2141, kb_relative_information_score: 172.2863, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3774, predictive_accuracy: 0.4824, prior_entropy: 1.8507, recall: 0.4824, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9479, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.4355, kappa: 0.2532, kb_relative_information_score: 211.7976, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4773, predictive_accuracy: 0.5195, prior_entropy: 1.8507, recall: 0.5195, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.9214, scimark_benchmark: 1151.6869, usercpu_time_millis: 720, usercpu_time_millis_testing: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4685, kappa: 0.2681, kb_relative_information_score: 214.8728, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4617, predictive_accuracy: 0.5137, prior_entropy: 1.8507, recall: 0.5137, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9272, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.4467, kappa: 0.2335, kb_relative_information_score: 235.8453, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4488, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9927, scimark_benchmark: 1357.483, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.4124, kappa: 0.2257, kb_relative_information_score: 157.1768, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4011, predictive_accuracy: 0.4902, prior_entropy: 1.8507, recall: 0.4902, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9549, scimark_benchmark: 1318.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.4014, kappa: 0.2149, kb_relative_information_score: 293.9917, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4085, predictive_accuracy: 0.4814, prior_entropy: 1.8507, recall: 0.4814, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.1865, scimark_benchmark: 1353.2625, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.3438, kappa: 0.122, kb_relative_information_score: 79.3492, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4931, predictive_accuracy: 0.4531, prior_entropy: 1.8507, recall: 0.4531, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9675, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.3714, kappa: 0.1698, kb_relative_information_score: 111.2675, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3112, predictive_accuracy: 0.4629, prior_entropy: 1.8507, recall: 0.4629, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9673, scimark_benchmark: 1331.482, usercpu_time_millis: 660, usercpu_time_millis_testing: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.4748, kappa: 0.2556, kb_relative_information_score: 292.2915, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4763, predictive_accuracy: 0.4873, prior_entropy: 1.8507, recall: 0.4873, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.459, root_relative_squared_error: 1.095, scimark_benchmark: 1313.0885, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 162.9356, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.3127, scimark_benchmark: 1331.2332, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.3582, kappa: 0.1479, kb_relative_information_score: 86.6608, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3006, predictive_accuracy: 0.4434, prior_entropy: 1.8507, recall: 0.4434, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9844, scimark_benchmark: 1327.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.367, kappa: 0.1595, kb_relative_information_score: 114.0211, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3626, predictive_accuracy: 0.4775, prior_entropy: 1.8507, recall: 0.4775, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9665, scimark_benchmark: 1311.7039, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.1548, kappa: -0.02, kb_relative_information_score: 57.1895, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.2466, predictive_accuracy: 0.2715, prior_entropy: 1.8507, recall: 0.2715, relative_absolute_error: 1.0365, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.44, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.3694, kappa: 0.1645, kb_relative_information_score: 81.9106, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4706, predictive_accuracy: 0.4707, prior_entropy: 1.8507, recall: 0.4707, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9671, scimark_benchmark: 1360.2771, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.3624, kappa: 0.1513, kb_relative_information_score: 82.2114, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.5421, predictive_accuracy: 0.4629, prior_entropy: 1.8507, recall: 0.4629, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9672, scimark_benchmark: 1308.3432, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.4108, kappa: 0.1891, kb_relative_information_score: 191.8918, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3982, predictive_accuracy: 0.4629, prior_entropy: 1.8507, recall: 0.4629, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9683, scimark_benchmark: 1358.4523, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.4118, kappa: 0.1973, kb_relative_information_score: 189.6832, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4033, predictive_accuracy: 0.4707, prior_entropy: 1.8507, recall: 0.4707, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9616, scimark_benchmark: 1325.0605, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.4102, kappa: 0.2025, kb_relative_information_score: 186.9082, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4122, predictive_accuracy: 0.4766, prior_entropy: 1.8507, recall: 0.4766, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9564, scimark_benchmark: 1310.6407, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.4005, kappa: 0.1921, kb_relative_information_score: 171.6353, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3867, predictive_accuracy: 0.4717, prior_entropy: 1.8507, recall: 0.4717, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9511, scimark_benchmark: 909.1698, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.4759, kappa: 0.2677, kb_relative_information_score: 242.4943, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4673, predictive_accuracy: 0.5068, prior_entropy: 1.8507, recall: 0.5068, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.9797, scimark_benchmark: 1341.4524, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.4759, kappa: 0.2677, kb_relative_information_score: 242.4943, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4673, predictive_accuracy: 0.5068, prior_entropy: 1.8507, recall: 0.5068, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.9797, scimark_benchmark: 934.4732, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.3911, kappa: 0.2093, kb_relative_information_score: 161.3319, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3428, predictive_accuracy: 0.4785, prior_entropy: 1.8507, recall: 0.4785, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.955, scimark_benchmark: 1386.5717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.3675, kappa: 0.1612, kb_relative_information_score: 125.0049, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3092, predictive_accuracy: 0.459, prior_entropy: 1.8507, recall: 0.459, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9771, scimark_benchmark: 1330.7934, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.3675, kappa: 0.1649, kb_relative_information_score: 104.0735, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3151, predictive_accuracy: 0.4697, prior_entropy: 1.8507, recall: 0.4697, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9668, scimark_benchmark: 1315.4655, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.356, kappa: 0.1409, kb_relative_information_score: 79.8265, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.2993, predictive_accuracy: 0.4482, prior_entropy: 1.8507, recall: 0.4482, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9839, scimark_benchmark: 923.6051, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.3344, kappa: 0.063, kb_relative_information_score: 140.385, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.334, predictive_accuracy: 0.3486, prior_entropy: 1.8507, recall: 0.3486, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5707, root_relative_squared_error: 1.3616, scimark_benchmark: 1344.7246, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.4266, kappa: 0.258, kb_relative_information_score: 193.1122, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4334, predictive_accuracy: 0.5127, prior_entropy: 1.8507, recall: 0.5127, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9406, scimark_benchmark: 1370.6464, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.5034, kappa: 0.3067, kb_relative_information_score: 282.0976, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4963, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9492, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.4685, kappa: 0.2681, kb_relative_information_score: 214.8728, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4617, predictive_accuracy: 0.5137, prior_entropy: 1.8507, recall: 0.5137, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9272, scimark_benchmark: 1373.2982, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.493, kappa: 0.2975, kb_relative_information_score: 269.8314, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4889, predictive_accuracy: 0.5293, prior_entropy: 1.8507, recall: 0.5293, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.916, scimark_benchmark: 1366.5423, usercpu_time_millis: 390, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5046, kappa: 0.311, kb_relative_information_score: 270.981, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.5013, predictive_accuracy: 0.5371, prior_entropy: 1.8507, recall: 0.5371, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.9159, scimark_benchmark: 1353.1316, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.4498, kappa: 0.2162, kb_relative_information_score: 276.6416, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4464, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.522, root_relative_squared_error: 1.2454, scimark_benchmark: 940.0008, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.2232, kb_relative_information_score: 0.3698, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 1321.6263,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.3687, kappa: 0.1638, kb_relative_information_score: 124.8402, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.31, predictive_accuracy: 0.4609, prior_entropy: 1.8507, recall: 0.4609, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9772, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.3653, kappa: 0.1578, kb_relative_information_score: 81.119, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3062, predictive_accuracy: 0.4551, prior_entropy: 1.8507, recall: 0.4551, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.9833, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.4108, kappa: 0.1891, kb_relative_information_score: 191.8918, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3982, predictive_accuracy: 0.4629, prior_entropy: 1.8507, recall: 0.4629, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9683, scimark_benchmark: 936.6206, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.4118, kappa: 0.1973, kb_relative_information_score: 189.6832, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4033, predictive_accuracy: 0.4707, prior_entropy: 1.8507, recall: 0.4707, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.403, root_relative_squared_error: 0.9616, scimark_benchmark: 924.6116, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.4102, kappa: 0.2025, kb_relative_information_score: 186.9082, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4122, predictive_accuracy: 0.4766, prior_entropy: 1.8507, recall: 0.4766, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9564, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.404, kappa: 0.1983, kb_relative_information_score: 182.3442, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4201, predictive_accuracy: 0.4756, prior_entropy: 1.8507, recall: 0.4756, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9514, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.4005, kappa: 0.1921, kb_relative_information_score: 171.6353, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3867, predictive_accuracy: 0.4717, prior_entropy: 1.8507, recall: 0.4717, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9511, scimark_benchmark: 929.566, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.2232, kb_relative_information_score: 0.3698, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.4735, kappa: 0.2529, kb_relative_information_score: 287.6537, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4766, predictive_accuracy: 0.4854, prior_entropy: 1.8507, recall: 0.4854, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.1028, scimark_benchmark: 902.4773, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.2232, kb_relative_information_score: 0.3698, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.3998, kappa: 0.1939, kb_relative_information_score: 166.4833, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3927, predictive_accuracy: 0.4727, prior_entropy: 1.8507, recall: 0.4727, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9518, scimark_benchmark: 911.0478, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 162.9356, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.3127, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.4614, kappa: 0.2881, kb_relative_information_score: 208.4492, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4433, predictive_accuracy: 0.5342, prior_entropy: 1.8507, recall: 0.5342, relative_absolute_error: 0.8618, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.387, root_relative_squared_error: 0.9234, scimark_benchmark: 904.3001, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.494, kappa: 0.2999, kb_relative_information_score: 215.3081, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4883, predictive_accuracy: 0.5293, prior_entropy: 1.8507, recall: 0.5293, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.9286, scimark_benchmark: 943.2817, usercpu_time_millis: 2050, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.361, kappa: 0.1497, kb_relative_information_score: 75.3439, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.3101, predictive_accuracy: 0.46, prior_entropy: 1.8507, recall: 0.46, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.976, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.5034, kappa: 0.3067, kb_relative_information_score: 99.6024, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4963, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9711, scimark_benchmark: 941.7954, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.5034, kappa: 0.3067, kb_relative_information_score: 99.6024, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4963, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9711, scimark_benchmark: 945.3151, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.5034, kappa: 0.3067, kb_relative_information_score: 99.6024, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4963, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.407, root_relative_squared_error: 0.9711, scimark_benchmark: 942.6953, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.4727, kappa: 0.2541, kb_relative_information_score: 140.4193, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.3514, number_of_instances: 1024, precision: 0.4703, predictive_accuracy: 0.4854, prior_entropy: 1.8507, recall: 0.4854, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.9621, scimark_benchmark: 940.2922, usercpu_time_millis: 1480, usercpu_time_millis_training: 1480,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs