OpenML
Supervised Classification on analcatdata_gsssexsurvey

Supervised Classification on analcatdata_gsssexsurvey

Task 3717 Supervised Classification analcatdata_gsssexsurvey 506 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 39.0909, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.1484, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.6877, kappa: 0.0064, kb_relative_information_score: -0.7405, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6638, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.0173, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.6803, kappa: -0.0124, kb_relative_information_score: 0.4666, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6071, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4181, root_relative_squared_error: 1.0091, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4264, f_measure: 0.7057, kappa: 0.0628, kb_relative_information_score: -0.1683, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6972, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4224, root_relative_squared_error: 1.0194, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4548, f_measure: 0.6834, kb_relative_information_score: -1.2299, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0006, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.6898, kappa: 0.0121, kb_relative_information_score: -4.956, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6645, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.0601, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4251, f_measure: 0.7096, kappa: 0.075, kb_relative_information_score: -8.2577, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.71, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.035, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.7004, kappa: 0.0692, kb_relative_information_score: -24.9219, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6832, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0786, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4259, f_measure: 0.7135, kappa: 0.0876, kb_relative_information_score: -6.6604, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7268, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0342, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.6621, kappa: 0.0416, kb_relative_information_score: -24.1487, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6711, predictive_accuracy: 0.6541, prior_entropy: 0.7667, recall: 0.6541, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.4097, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4266, f_measure: 0.7057, kappa: 0.0628, kb_relative_information_score: -0.2329, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6972, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.0192, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.6783, kappa: -0.0139, kb_relative_information_score: -10.5495, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6506, predictive_accuracy: 0.7233, prior_entropy: 0.7667, recall: 0.7233, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4565, root_relative_squared_error: 1.1018, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4548, f_measure: 0.6834, kb_relative_information_score: -1.2299, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0006, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6526, kappa: -0.0972, kb_relative_information_score: -40.6355, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6127, predictive_accuracy: 0.7044, prior_entropy: 0.7667, recall: 0.7044, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0475, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5429, f_measure: 0.6562, kappa: -0.053, kb_relative_information_score: -32.0262, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6375, predictive_accuracy: 0.6792, prior_entropy: 0.7667, recall: 0.6792, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.1619, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6843, kappa: -0.0053, kb_relative_information_score: -11.146, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6517, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0252, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.6978, kappa: 0.0393, kb_relative_information_score: -4.6249, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6784, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0521, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4798, f_measure: 0.6978, kappa: 0.0393, kb_relative_information_score: -4.6249, mean_absolute_error: 0.3278, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6784, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.0521, scimark_benchmark: 936.3373, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.7004, kappa: 0.0692, kb_relative_information_score: -24.9219, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6832, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0786, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.6526, kappa: -0.0972, kb_relative_information_score: -40.6355, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6127, predictive_accuracy: 0.7044, prior_entropy: 0.7667, recall: 0.7044, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0475, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5103, f_measure: 0.6946, kappa: 0.031, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.721, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 919.3788, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6843, kappa: -0.0053, kb_relative_information_score: -11.146, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6517, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0252, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: -4.5734, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0097, scimark_benchmark: 936.3213, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.7009, kappa: 0.0476, kb_relative_information_score: 2.5424, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7008, predictive_accuracy: 0.7736, prior_entropy: 0.7667, recall: 0.7736, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0114, scimark_benchmark: 1332.9478,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 6.4698, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.9927, scimark_benchmark: 1317.5857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 1338.5214,

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