Task
Supervised Classification on trains

Supervised Classification on trains

Task 51 Supervised Classification trains 693 runs submitted
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  • basic study_1 study_107 study_123 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.2553, mean_absolute_error: 0.5455, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.0909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0909, scimark_benchmark: 1998.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 1988.1534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: -0.6848, mean_absolute_error: 0.5256, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.3315, scimark_benchmark: 1995.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 1986.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 2014.4056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.4949, kb_relative_information_score: 0.6891, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6605, root_relative_squared_error: 1.321, scimark_benchmark: 2011.0691,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111, scimark_benchmark: 2011.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 2019.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7917, kappa: 0.6, kb_relative_information_score: 5.1082, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8571, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9209, scimark_benchmark: 2010.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2.3536, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1747, scimark_benchmark: 1999.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: 2.0358, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9909, scimark_benchmark: 1921.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.4605, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9108, scimark_benchmark: 932.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4505, kb_relative_information_score: 0.3711, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0349, scimark_benchmark: 944.5809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 1.725, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5793, root_relative_squared_error: 1.1585, scimark_benchmark: 917.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7746, scimark_benchmark: 946.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 1.1872, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 947.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 920.9304,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.4852, mean_absolute_error: 0.5542, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1084, scimark_benchmark: 885.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.34, f_measure: 0.4, kappa: -0.2, kb_relative_information_score: -0.8368, mean_absolute_error: 0.5331, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.4, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.079, scimark_benchmark: 909.3006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.7917, kappa: 0.6, kb_relative_information_score: 5.1082, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8571, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.5075, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9209, scimark_benchmark: 940.0103,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 944.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 3.7466, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9792, scimark_benchmark: 941.1975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 0.8635, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0081, scimark_benchmark: 939.19,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 908.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: 0.9523, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0398, scimark_benchmark: 916.7908,
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0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 940.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.5238, kappa: 0.2, kb_relative_information_score: 0.7694, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7778, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9765, scimark_benchmark: 921.5654,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2.5992, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1718, scimark_benchmark: 945.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 920.2372,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 924.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 948.4533,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 950.0556,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111, scimark_benchmark: 945.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1, f_measure: 0.0909, kappa: -0.8, kb_relative_information_score: -8, mean_absolute_error: 0.9, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.0833, predictive_accuracy: 0.1, prior_entropy: 1, recall: 0.1, relative_absolute_error: 1.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.9487, root_relative_squared_error: 1.8974, scimark_benchmark: 946.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 1.2736, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032, scimark_benchmark: 947.667,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 922.1112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 1.1872, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 947.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6703, kappa: 0.4, kb_relative_information_score: 1.0619, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8125, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9811, scimark_benchmark: 946.0056,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.4852, mean_absolute_error: 0.5542, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1084, scimark_benchmark: 917.0227,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 947.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.375, kappa: -0.2, kb_relative_information_score: 1.1872, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.381, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0542, scimark_benchmark: 921.6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.16, f_measure: 0.2857, kappa: -0.2, kb_relative_information_score: -0.7597, mean_absolute_error: 0.5284, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.2222, predictive_accuracy: 0.4, prior_entropy: 1, recall: 0.4, relative_absolute_error: 1.0569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0598, scimark_benchmark: 923.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 913.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 936.4492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 4, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 928.4421,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 6.3904, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, scimark_benchmark: 944.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 8, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 943.4477,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 947.1137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 8, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 910.4038,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 942.0748,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111, scimark_benchmark: 920.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5434, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 881.7962,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111, scimark_benchmark: 943.7771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.2308, kappa: -0.4, kb_relative_information_score: -1.8324, mean_absolute_error: 0.5732, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1875, predictive_accuracy: 0.3, prior_entropy: 1, recall: 0.3, relative_absolute_error: 1.1465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1648, scimark_benchmark: 918.7578,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.4852, mean_absolute_error: 0.5542, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1084, scimark_benchmark: 888.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.08, f_measure: 0.1667, kappa: -0.6, kb_relative_information_score: -1.9995, mean_absolute_error: 0.5792, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1429, predictive_accuracy: 0.2, prior_entropy: 1, recall: 0.2, relative_absolute_error: 1.1585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5867, root_relative_squared_error: 1.1734, scimark_benchmark: 949.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 8, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 946.4854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 4.3152, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7361, scimark_benchmark: 924.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 0.2276, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1594, scimark_benchmark: 942.0862,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 946.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 945.8922,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -1.52, mean_absolute_error: 0.5556, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 1.1111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1111, scimark_benchmark: 921.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.899, kappa: 0.8, kb_relative_information_score: 8, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.9167, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 918.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.5833, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.619, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2649, scimark_benchmark: 938.2055,
0 likes - 0 downloads - 0 reach - kappa: -1, kb_relative_information_score: -10, mean_absolute_error: 1, mean_prior_absolute_error: 0.5, number_of_instances: 10, prior_entropy: 1, relative_absolute_error: 2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 1, root_relative_squared_error: 2, scimark_benchmark: 892.4674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.12, f_measure: 0.1667, kappa: -0.6, kb_relative_information_score: -2.0638, mean_absolute_error: 0.5824, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.1429, predictive_accuracy: 0.2, prior_entropy: 1, recall: 0.2, relative_absolute_error: 1.1648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.591, root_relative_squared_error: 1.1821, scimark_benchmark: 909.4245,

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