OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7367, kappa: 0.4693, kb_relative_information_score: 570.5457, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9029, scimark_benchmark: 1858.6076, usercpu_time_millis: 68.182, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 66.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.732, kappa: 0.46, kb_relative_information_score: 396.4587, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.93, scimark_benchmark: 1855.0232, usercpu_time_millis: 39.047, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 37.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7893, kappa: 0.5751, kb_relative_information_score: 1119.7964, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1836.8952, usercpu_time_millis: 17.233, usercpu_time_millis_testing: 1.631, usercpu_time_millis_training: 15.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0774, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1831.9885, usercpu_time_millis: 8.634, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 7.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0445, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1854.9533, usercpu_time_millis: 7.761, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2523, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 5.253, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 4.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7355, kappa: 0.4678, kb_relative_information_score: 694.8077, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7359, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.85, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8885, scimark_benchmark: 1849.3014, usercpu_time_millis: 152.058, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 150.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 949.3125, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8762, scimark_benchmark: 1832.8937, usercpu_time_millis: 111.086, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 110.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7807, kappa: 0.5576, kb_relative_information_score: 1175.883, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8132, scimark_benchmark: 1848.916, usercpu_time_millis: 14.94, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 14.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1617, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1838.0622, usercpu_time_millis: 8.59, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 7.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1382, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 6.208, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 5.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: 0.1095, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7555, kappa: 0.5065, kb_relative_information_score: 957.0094, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8461, scimark_benchmark: 1853.3841, usercpu_time_millis: 152.87, usercpu_time_millis_testing: 2.258, usercpu_time_millis_training: 150.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7455, kappa: 0.487, kb_relative_information_score: 1163.047, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7512, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8431, scimark_benchmark: 1855.0232, usercpu_time_millis: 141.895, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 141.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7478, kappa: 0.491, kb_relative_information_score: 706.8275, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7486, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8836, scimark_benchmark: 1856.1949, usercpu_time_millis: 136.088, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 134.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 800.7691, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1858.6775, usercpu_time_millis: 106.268, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 104.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.7186, kappa: 0.4322, kb_relative_information_score: 491.9553, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7192, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.915, scimark_benchmark: 1850.4154, usercpu_time_millis: 10.812, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 10.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.7411, kappa: 0.4776, kb_relative_information_score: 727.3987, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7415, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8785, scimark_benchmark: 1855.5999, usercpu_time_millis: 12.057, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 11.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.1543, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 8.109, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 6.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0442, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.6392, usercpu_time_millis: 7.493, usercpu_time_millis_testing: 1.173, usercpu_time_millis_training: 6.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 951.8331, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1852.5406, usercpu_time_millis: 6.682, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 6.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1672, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1859.6666, usercpu_time_millis: 8.685, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 7.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0421, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.991, usercpu_time_millis: 8.352, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 6.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7548, kappa: 0.5053, kb_relative_information_score: 946.5119, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8503, scimark_benchmark: 1849.3014, usercpu_time_millis: 231.691, usercpu_time_millis_testing: 1.676, usercpu_time_millis_training: 230.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 926.5007, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8736, scimark_benchmark: 1839.0605, usercpu_time_millis: 215.079, usercpu_time_millis_testing: 1.182, usercpu_time_millis_training: 213.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.0519, mean_absolute_error: 0.3924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8746, scimark_benchmark: 1853.9121, usercpu_time_millis: 192.133, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 190.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7654, kappa: 0.5267, kb_relative_information_score: 1268.8402, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8204, scimark_benchmark: 1846.2342, usercpu_time_millis: 172.911, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 172.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7667, kappa: 0.5292, kb_relative_information_score: 1275.4461, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8164, scimark_benchmark: 1855.4813, usercpu_time_millis: 167.602, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 166.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8025, kappa: 0.6018, kb_relative_information_score: 1404.712, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7715, scimark_benchmark: 1850.4852, usercpu_time_millis: 69.807, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 67.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7287, kappa: 0.453, kb_relative_information_score: 606.282, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7287, predictive_accuracy: 0.7291, prior_entropy: 0.9948, recall: 0.7291, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8978, scimark_benchmark: 1857.5664, usercpu_time_millis: 43.045, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 42.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0907, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.6953, usercpu_time_millis: 9.15, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 7.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0123, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 7.481, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 6.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1276, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 9.233, usercpu_time_millis_testing: 1.538, usercpu_time_millis_training: 7.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1065, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1841.2265, usercpu_time_millis: 5.753, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 4.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1208, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 5.042, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 4.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7707, kappa: 0.5374, kb_relative_information_score: 1092.3558, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7714, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8252, scimark_benchmark: 1853.3841, usercpu_time_millis: 166.819, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 164.932,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 935.7059, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1850.5162, usercpu_time_millis: 295.486, usercpu_time_millis_testing: 1.492, usercpu_time_millis_training: 293.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 973.006, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1853.9121, usercpu_time_millis: 473.033, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 471.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7516, kappa: 0.4989, kb_relative_information_score: 1155.3498, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7546, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8421, scimark_benchmark: 1853.9849, usercpu_time_millis: 366.657, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 365.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7456, kappa: 0.4873, kb_relative_information_score: 1192.8473, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1837.9312, usercpu_time_millis: 337.193, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 336.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7352, kappa: 0.4671, kb_relative_information_score: 599.4685, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7355, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9004, scimark_benchmark: 1833.4006, usercpu_time_millis: 102.197, usercpu_time_millis_testing: 1.201, usercpu_time_millis_training: 100.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.7813, kappa: 0.5588, kb_relative_information_score: 1203.5159, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8091, scimark_benchmark: 1854.6378, usercpu_time_millis: 70.912, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 69.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.152, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1835.0844, usercpu_time_millis: 8.343, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 6.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.7626, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7222, usercpu_time_millis: 4.444, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 3.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7501, kappa: 0.496, kb_relative_information_score: 1151.1197, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8396, scimark_benchmark: 1791.5704, usercpu_time_millis: 390.879, usercpu_time_millis_testing: 1.136, usercpu_time_millis_training: 389.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7511, kappa: 0.4979, kb_relative_information_score: 1102.4665, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7511, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8474, scimark_benchmark: 1796.4077, usercpu_time_millis: 395.452, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 394.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7367, kappa: 0.4698, kb_relative_information_score: 897.5517, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7368, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8609, scimark_benchmark: 1845.7835, usercpu_time_millis: 258.956, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 257.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7536, kappa: 0.503, kb_relative_information_score: 910.8285, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8549, scimark_benchmark: 1797.1906, usercpu_time_millis: 188.576, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 186.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 902.4594, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8724, scimark_benchmark: 1843.7454, usercpu_time_millis: 175.949, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 174.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0569, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1821.8624, usercpu_time_millis: 10.138, usercpu_time_millis_testing: 1.776, usercpu_time_millis_training: 8.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1231, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.3986, usercpu_time_millis: 7.58, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 6.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0296, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.8294, usercpu_time_millis: 5.741, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 4.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.4622, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.599, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 3.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1058, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 6.941, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 5.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7588, kappa: 0.5132, kb_relative_information_score: 1097.1808, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8324, scimark_benchmark: 1838.217, usercpu_time_millis: 240.757, usercpu_time_millis_testing: 1.387, usercpu_time_millis_training: 239.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 990.6536, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8635, scimark_benchmark: 1839.1303, usercpu_time_millis: 227.471, usercpu_time_millis_testing: 1.156, usercpu_time_millis_training: 226.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7469, kappa: 0.4892, kb_relative_information_score: 714.9469, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8825, scimark_benchmark: 1775.413, usercpu_time_millis: 135.535, usercpu_time_millis_testing: 1.925, usercpu_time_millis_training: 133.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7367, kappa: 0.4708, kb_relative_information_score: 724.8421, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8864, scimark_benchmark: 1834.7077, usercpu_time_millis: 96.183, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 95.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7366, kappa: 0.47, kb_relative_information_score: 846.7435, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8694, scimark_benchmark: 1846.2342, usercpu_time_millis: 57.745, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 56.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8084, kappa: 0.6139, kb_relative_information_score: 1492.0775, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7619, scimark_benchmark: 1854.6408, usercpu_time_millis: 44.966, usercpu_time_millis_testing: 1.285, usercpu_time_millis_training: 43.681,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7088, kappa: 0.4124, kb_relative_information_score: 594.833, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7099, predictive_accuracy: 0.7105, prior_entropy: 0.9948, recall: 0.7105, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8984, scimark_benchmark: 1847.7988, usercpu_time_millis: 21.008, usercpu_time_millis_testing: 1.913, usercpu_time_millis_training: 19.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0829, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1795.6454, usercpu_time_millis: 10.209, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 8.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0909, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1772.1689, usercpu_time_millis: 5.431, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 4.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.1036, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.9831, usercpu_time_millis: 9.074, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 7.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: -0.0066, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.6942, usercpu_time_millis: 7.747, usercpu_time_millis_testing: 1.425, usercpu_time_millis_training: 6.322,

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