Task
Supervised Classification on fruitfly

Supervised Classification on fruitfly

Task 4285 Supervised Classification fruitfly 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -0.053, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, weighted_recall: 0.5056, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9661, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 931.1106, unweighted_recall: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.572, kappa: 0.0999, kb_relative_information_score: 0.0231, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.477, weighted_recall: 0.6072, number_of_instances: 1250, precision: 0.5816, predictive_accuracy: 0.6072, prior_entropy: 0.9661, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0122, scimark_benchmark: 979.7764, unweighted_recall: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4108, f_measure: 0.4629, kappa: -0.1306, kb_relative_information_score: -98.6482, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4479, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0537, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1495, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, f_measure: 0.4924, kappa: -0.0673, kb_relative_information_score: -40.197, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.484, predictive_accuracy: 0.5344, prior_entropy: 0.9671, recall: 0.5344, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.06, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5438, kappa: 0.0426, kb_relative_information_score: 10.1879, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5488, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0182, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 927.2917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5204, kappa: -0.0067, kb_relative_information_score: 79.7285, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5193, predictive_accuracy: 0.5624, prior_entropy: 0.9671, recall: 0.5624, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.355, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5204, kappa: -0.0067, kb_relative_information_score: 79.7285, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5193, predictive_accuracy: 0.5624, prior_entropy: 0.9671, recall: 0.5624, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.355, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3813, f_measure: 0.4551, kappa: -0.0245, kb_relative_information_score: -52.0012, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3885, predictive_accuracy: 0.5952, prior_entropy: 0.9671, recall: 0.5952, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0343, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4108, f_measure: 0.4629, kappa: -0.1306, kb_relative_information_score: -98.6482, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4479, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0537, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1495, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5204, kappa: -0.0067, kb_relative_information_score: 79.7285, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5193, predictive_accuracy: 0.5624, prior_entropy: 0.9671, recall: 0.5624, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.355, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5204, kappa: -0.0067, kb_relative_information_score: 79.7285, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5193, predictive_accuracy: 0.5624, prior_entropy: 0.9671, recall: 0.5624, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.355, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, f_measure: 0.4924, kappa: -0.0673, kb_relative_information_score: -40.197, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.484, predictive_accuracy: 0.5344, prior_entropy: 0.9671, recall: 0.5344, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.06, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5438, kappa: 0.0426, kb_relative_information_score: 10.1879, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5488, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0182, scimark_benchmark: 905.2959, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.4666, kappa: -0.0181, kb_relative_information_score: 3.7204, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4734, predictive_accuracy: 0.5944, prior_entropy: 0.9671, recall: 0.5944, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4888, root_relative_squared_error: 1.0012, scimark_benchmark: 904.5548, usercpu_time_millis: 480, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5274, f_measure: 0.4822, kappa: 0.0093, kb_relative_information_score: 5.2618, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5472, predictive_accuracy: 0.6048, prior_entropy: 0.9671, recall: 0.6048, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 933.4823, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.4807, kappa: 0.0007, kb_relative_information_score: 5.0947, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5249, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4885, root_relative_squared_error: 1.0006, scimark_benchmark: 938.8535, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.4734, kappa: -0.0083, kb_relative_information_score: 2.4987, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5025, predictive_accuracy: 0.5976, prior_entropy: 0.9671, recall: 0.5976, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0023, scimark_benchmark: 921.2615, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.4802, kappa: -0.0047, kb_relative_information_score: 9.3149, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5143, predictive_accuracy: 0.5968, prior_entropy: 0.9671, recall: 0.5968, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9995, scimark_benchmark: 930.0399, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4104, f_measure: 0.4723, kappa: -0.1171, kb_relative_information_score: -87.5386, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4605, predictive_accuracy: 0.5032, prior_entropy: 0.9671, recall: 0.5032, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1262, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4104, f_measure: 0.4723, kappa: -0.1171, kb_relative_information_score: -87.5386, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4605, predictive_accuracy: 0.5032, prior_entropy: 0.9671, recall: 0.5032, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1262, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4104, f_measure: 0.4723, kappa: -0.1171, kb_relative_information_score: -87.4656, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4605, predictive_accuracy: 0.5032, prior_entropy: 0.9671, recall: 0.5032, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5498, root_relative_squared_error: 1.1261, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4089, f_measure: 0.4737, kappa: -0.1129, kb_relative_information_score: -85.268, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4618, predictive_accuracy: 0.5072, prior_entropy: 0.9671, recall: 0.5072, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1227, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.4774, kappa: -0.1005, kb_relative_information_score: -86.1682, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4656, predictive_accuracy: 0.5184, prior_entropy: 0.9671, recall: 0.5184, relative_absolute_error: 1.0469, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.1093, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: -1.0645, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.4998, kappa: -0.0282, kb_relative_information_score: 57.0351, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5022, predictive_accuracy: 0.5664, prior_entropy: 0.9671, recall: 0.5664, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5956, root_relative_squared_error: 1.22, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4353, f_measure: 0.5011, kappa: -0.0203, kb_relative_information_score: 65.0287, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5072, predictive_accuracy: 0.572, prior_entropy: 0.9671, recall: 0.572, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5895, root_relative_squared_error: 1.2074, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4367, f_measure: 0.5053, kappa: -0.0056, kb_relative_information_score: 72.3423, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5186, predictive_accuracy: 0.5808, prior_entropy: 0.9671, recall: 0.5808, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.2028, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4379, f_measure: 0.5136, kappa: 0.0135, kb_relative_information_score: 74.5314, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5352, predictive_accuracy: 0.5896, prior_entropy: 0.9671, recall: 0.5896, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5804, root_relative_squared_error: 1.1889, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3813, f_measure: 0.4551, kappa: -0.0245, kb_relative_information_score: -52.0012, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3885, predictive_accuracy: 0.5952, prior_entropy: 0.9671, recall: 0.5952, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0343, scimark_benchmark: 1313.11,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4975, kappa: -0.0642, kb_relative_information_score: -66.1641, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4923, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5664, root_relative_squared_error: 1.1602, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4285, f_measure: 0.471, kappa: -0.1183, kb_relative_information_score: -67.6072, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4585, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0587, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4108, f_measure: 0.4629, kappa: -0.1306, kb_relative_information_score: -98.6482, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4479, predictive_accuracy: 0.5056, prior_entropy: 0.9671, recall: 0.5056, relative_absolute_error: 1.0537, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5612, root_relative_squared_error: 1.1495, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5107, kappa: 0.0009, kb_relative_information_score: -28.1895, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.5241, predictive_accuracy: 0.5816, prior_entropy: 0.9671, recall: 0.5816, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0276, scimark_benchmark: 1324.5762, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1314.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1330.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4502, f_measure: 0.4924, kappa: -0.0673, kb_relative_information_score: -40.197, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.484, predictive_accuracy: 0.5344, prior_entropy: 0.9671, recall: 0.5344, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.06, scimark_benchmark: 1329.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 1319.952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4598, kb_relative_information_score: 0.4759, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3697, predictive_accuracy: 0.608, prior_entropy: 0.9671, recall: 0.608, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0003, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3807, f_measure: 0.4587, kappa: -0.0401, kb_relative_information_score: -41.4846, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.4328, predictive_accuracy: 0.584, prior_entropy: 0.9671, recall: 0.584, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0476, scimark_benchmark: 1404.0159, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3691, f_measure: 0.456, kappa: -0.0159, kb_relative_information_score: -48.6804, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.477, number_of_instances: 1250, precision: 0.3677, predictive_accuracy: 0.6, prior_entropy: 0.9671, recall: 0.6, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0311, scimark_benchmark: 1347.993,

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