OpenML
Supervised Classification on no2

Supervised Classification on no2

Task 3749 Supervised Classification no2 588 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, build_cpu_time: 0.001, build_memory: 46931084, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, build_cpu_time: 0.0008, build_memory: 122060813.6, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, build_cpu_time: 0.0014, build_memory: 237504006.4, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0357, build_memory: 652216196.8, f_measure: 0.6658, kappa: 0.3319, kb_relative_information_score: 88.7462, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6663, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9381, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0341, build_memory: 585803028.8, f_measure: 0.6658, kappa: 0.3319, kb_relative_information_score: 88.7462, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6663, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9381, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0341, build_memory: 801657088.8, f_measure: 0.6658, kappa: 0.3319, kb_relative_information_score: 88.7462, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6663, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9381, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0311, build_memory: 1257765536, f_measure: 0.6658, kappa: 0.3319, kb_relative_information_score: 88.7462, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6663, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9381, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0304, build_memory: 766312561.6, f_measure: 0.6658, kappa: 0.3319, kb_relative_information_score: 88.7462, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6663, predictive_accuracy: 0.666, prior_entropy: 1, recall: 0.666, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9381, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, build_cpu_time: 0.016, build_memory: 113109356.8, f_measure: 0.6031, kappa: 0.2387, kb_relative_information_score: 28.8479, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6433, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9702, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, build_cpu_time: 0.0118, build_memory: 245571020.8, f_measure: 0.6031, kappa: 0.2387, kb_relative_information_score: 28.8479, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6433, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9702, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, build_cpu_time: 0.0014, build_memory: 1083439136, f_measure: 0.572, kappa: 0.144, kb_relative_information_score: 71.9902, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3084, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.572, build_cpu_time: 0.0009, build_memory: 87391352.8, f_measure: 0.572, kappa: 0.144, kb_relative_information_score: 71.9902, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3084, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, build_cpu_time: 0.0061, build_memory: 1210174149.6, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, build_cpu_time: 0.0054, build_memory: 1117743656.8, f_measure: 0.5946, kappa: 0.1954, kb_relative_information_score: 49.6132, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.601, predictive_accuracy: 0.598, prior_entropy: 1, recall: 0.598, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0525, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, build_cpu_time: 0.0002, build_memory: 806623064, f_measure: 0.3356, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.252, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, build_cpu_time: 0.001, build_memory: 770536256, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, build_cpu_time: 0.001, build_memory: 308339222.4, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, build_cpu_time: 0.001, build_memory: 226891352.8, f_measure: 0.5475, kappa: 0.1188, kb_relative_information_score: 30.9914, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5666, predictive_accuracy: 0.56, prior_entropy: 1, recall: 0.56, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0049, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0246, build_memory: 123944144.8, f_measure: 0.3459, kappa: 0.0001, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.501, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0264, build_memory: 451215107.2, f_measure: 0.3459, kappa: 0.0001, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.501, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0249, build_memory: 607181747.2, f_measure: 0.3459, kappa: 0.0001, kb_relative_information_score: 1.9886, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.501, predictive_accuracy: 0.502, prior_entropy: 1, recall: 0.502, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4114, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, build_cpu_time: 0.2844, build_memory: 897944666.4, f_measure: 0.5999, kappa: 0.1999, kb_relative_information_score: 70.1298, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6001, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0706, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, build_cpu_time: 0.2713, build_memory: 945389463.2, f_measure: 0.5999, kappa: 0.1999, kb_relative_information_score: 70.1298, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6001, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0706, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, build_cpu_time: 0.0905, build_memory: 601228893.6, f_measure: 0.564, kappa: 0.128, kb_relative_information_score: 51.4646, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.564, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1229, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, build_cpu_time: 0.0897, build_memory: 547284744.8, f_measure: 0.564, kappa: 0.128, kb_relative_information_score: 51.4646, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.564, predictive_accuracy: 0.564, prior_entropy: 1, recall: 0.564, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1229, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, build_cpu_time: 0.1596, build_memory: 765558464.8, f_measure: 0.5712, kappa: 0.1443, kb_relative_information_score: 55.9858, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5727, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, build_cpu_time: 0.1496, build_memory: 1082451903.2, f_measure: 0.5712, kappa: 0.1443, kb_relative_information_score: 55.9858, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5727, predictive_accuracy: 0.572, prior_entropy: 1, recall: 0.572, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.0962, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, build_cpu_time: 0.3267, build_memory: 899406447.2, f_measure: 0.5675, kappa: 0.1405, kb_relative_information_score: 59.977, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.572, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.0997, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, build_cpu_time: 0.609, build_memory: 798004412, f_measure: 0.5645, kappa: 0.1366, kb_relative_information_score: 55.9425, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.5707, predictive_accuracy: 0.568, prior_entropy: 1, recall: 0.568, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.0983, scimark_benchmark: 947.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, build_cpu_time: 1.162, build_memory: 701256508, f_measure: 0.562, kappa: 0.1327, kb_relative_information_score: 55.6504, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.569, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.107, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, build_cpu_time: 0.4268, build_memory: 601926183.2, f_measure: 0.647, kappa: 0.2957, kb_relative_information_score: 76.0585, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.648, prior_entropy: 1, recall: 0.648, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9339, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, build_cpu_time: 0.3829, build_memory: 1049187773.6, f_measure: 0.647, kappa: 0.2957, kb_relative_information_score: 76.0585, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.648, prior_entropy: 1, recall: 0.648, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9339, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, build_cpu_time: 0.1137, build_memory: 1525110792, f_measure: 0.6492, kappa: 0.2997, kb_relative_information_score: 80.3144, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6512, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9333, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, build_cpu_time: 0.0674, build_memory: 3324415231.2, f_measure: 0.6473, kappa: 0.2957, kb_relative_information_score: 79.3827, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.649, predictive_accuracy: 0.648, prior_entropy: 1, recall: 0.648, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9395, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, build_cpu_time: 0.0291, build_memory: 1000666058.4, f_measure: 0.6297, kappa: 0.2674, kb_relative_information_score: 84.7424, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.64, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, build_cpu_time: 0.0294, build_memory: 271175387.2, f_measure: 0.6297, kappa: 0.2674, kb_relative_information_score: 84.7424, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.64, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.0592, build_memory: 1250528491.2, f_measure: 0.6271, kappa: 0.2557, kb_relative_information_score: 81.6275, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.629, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9523, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.0594, build_memory: 555540049.6, f_measure: 0.6271, kappa: 0.2557, kb_relative_information_score: 81.6275, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.629, predictive_accuracy: 0.628, prior_entropy: 1, recall: 0.628, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9523, scimark_benchmark: 919.2952,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, build_cpu_time: 0.1694, build_memory: 758210255.2, f_measure: 0.6157, kappa: 0.2318, kb_relative_information_score: 110.9992, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6163, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.1309, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, build_cpu_time: 0.1834, build_memory: 666044730.4, f_measure: 0.6157, kappa: 0.2318, kb_relative_information_score: 110.9992, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6163, predictive_accuracy: 0.616, prior_entropy: 1, recall: 0.616, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5654, root_relative_squared_error: 1.1309, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, build_cpu_time: 3.1184, build_memory: 963421987.2, f_measure: 0.6419, kappa: 0.2839, kb_relative_information_score: 71.8255, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6421, predictive_accuracy: 0.642, prior_entropy: 1, recall: 0.642, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9399, scimark_benchmark: 861.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 4.5713, build_memory: 921580424, f_measure: 0.6418, kappa: 0.2839, kb_relative_information_score: 71.6276, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6422, predictive_accuracy: 0.642, prior_entropy: 1, recall: 0.642, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9396, scimark_benchmark: 947.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, build_cpu_time: 0.8939, build_memory: 445929696.8, f_measure: 0.6306, kappa: 0.2636, kb_relative_information_score: 79.77, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6338, predictive_accuracy: 0.632, prior_entropy: 1, recall: 0.632, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9411, scimark_benchmark: 945.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, build_cpu_time: 0.6218, build_memory: 1472921379.2, f_measure: 0.6332, kappa: 0.2677, kb_relative_information_score: 79.0256, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.635, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9437, scimark_benchmark: 918.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, build_cpu_time: 0.5129, build_memory: 3257461422.4, f_measure: 0.6332, kappa: 0.2677, kb_relative_information_score: 79.0256, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.635, predictive_accuracy: 0.634, prior_entropy: 1, recall: 0.634, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9437, scimark_benchmark: 945.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, build_cpu_time: 0.2855, build_memory: 1170480708.8, f_measure: 0.637, kappa: 0.2757, kb_relative_information_score: 81.3898, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6392, predictive_accuracy: 0.638, prior_entropy: 1, recall: 0.638, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9478, scimark_benchmark: 939.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 0.1034, build_memory: 5552753444, f_measure: 0.6095, kappa: 0.2198, kb_relative_information_score: 82.7733, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.6104, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9543, scimark_benchmark: 944.545,

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