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OpenML
Task
Supervised Classification on rabe_266

Supervised Classification on rabe_266

Task 3647 Supervised Classification rabe_266 1585 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

1585 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 103.2452, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.355, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9417, kappa: 0.8833, kb_relative_information_score: 105.944, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9429, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4837, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3615, kb_relative_information_score: 5.5942, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.3801, scimark_benchmark: 887.6719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.958, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4088, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 92.9811, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4248, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9, kappa: 0.7995, kb_relative_information_score: 95.909, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6332, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 92.5824, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4131, scimark_benchmark: 883.2709, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8745, kappa: 0.7517, kb_relative_information_score: 76.8925, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.889, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6552, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8915, kappa: 0.7822, kb_relative_information_score: 84.3619, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8924, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6197, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 107.1068, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.339, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 107.951, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4478, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9167, kappa: 0.8335, kb_relative_information_score: 95.1294, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9188, predictive_accuracy: 0.9167, prior_entropy: 0.9983, recall: 0.9167, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5464, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9084, kappa: 0.817, kb_relative_information_score: 94.6449, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9116, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5733, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9417, kappa: 0.8833, kb_relative_information_score: 105.944, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9429, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4837, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.3872, kappa: 0.059, kb_relative_information_score: 1.5802, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.6708, predictive_accuracy: 0.5083, prior_entropy: 0.9983, recall: 0.5083, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4041, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9334, kappa: 0.8666, kb_relative_information_score: 103.4184, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.502, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8917, kappa: 0.7837, kb_relative_information_score: 93.902, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8948, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6591, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9167, kappa: 0.8329, kb_relative_information_score: 99.923, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9167, predictive_accuracy: 0.9167, prior_entropy: 0.9983, recall: 0.9167, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5781, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, f_measure: 0.3615, kb_relative_information_score: -0.1161, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.2756, predictive_accuracy: 0.525, prior_entropy: 0.9983, recall: 0.525, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0007, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9, kappa: 0.7995, kb_relative_information_score: 95.826, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.584, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9333, kappa: 0.8663, kb_relative_information_score: 103.5084, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9333, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5181, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 108.9026, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3927, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 109.7896, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3636, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9583, kappa: 0.9164, kb_relative_information_score: 108.8676, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3346, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 107.0203, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3775, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 111.6837, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3662, scimark_benchmark: 936.7115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.95, kappa: 0.9002, kb_relative_information_score: 107.5072, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9548, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4458, scimark_benchmark: 936.6206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.925, kappa: 0.8503, kb_relative_information_score: 102.9686, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9283, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.504, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9083, kappa: 0.8173, kb_relative_information_score: 96.9651, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9145, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5865, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8999, kappa: 0.8008, kb_relative_information_score: 95.9364, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9078, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.605, scimark_benchmark: 938.4285, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 110.6874, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3529, scimark_benchmark: 936.6206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 110.5349, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3455, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 108.9404, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3491, scimark_benchmark: 924.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 106.4255, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3499, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 100.443, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.3909, scimark_benchmark: 931.2336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 0.1628, build_memory: 664540722.4, f_measure: 0.9583, kappa: 0.9168, kb_relative_information_score: 109.8199, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9617, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.367, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 0.64, build_memory: 1028553208, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 112.0903, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3446, scimark_benchmark: 943.521,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, build_cpu_time: 3.0783, build_memory: 64537686.4, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 108.7348, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4223, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, build_cpu_time: 1.4834, build_memory: 131049748.8, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 111.9828, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3645, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, build_cpu_time: 0.6838, build_memory: 1386153643.2, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 112.8302, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3322, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, build_cpu_time: 0.3745, build_memory: 237010288.8, f_measure: 0.9833, kappa: 0.9666, kb_relative_information_score: 114.7852, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 0.9983, recall: 0.9833, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2719, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 0.0215, build_memory: 446829266.4, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 109.0079, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4123, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, build_cpu_time: 0.0442, build_memory: 295429340, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.9946, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4067, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 0.0774, build_memory: 1307559183.2, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.958, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4088, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 0.3015, build_memory: 710805272.8, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 109.958, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4088, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 0.0138, build_memory: 645535440.8, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 109.6204, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4104, scimark_benchmark: 937.5625,

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