Task
Supervised Classification on rabe_265

Supervised Classification on rabe_265

Task 4351 Supervised Classification rabe_265 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6986, kappa: 0.3731, kb_relative_information_score: 0.2075, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.485, weighted_recall: 0.7039, number_of_instances: 510, precision: 0.7002, predictive_accuracy: 0.7039, prior_entropy: 0.9775, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9267, scimark_benchmark: 931.1106, unweighted_recall: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.6905, kappa: 0.3586, kb_relative_information_score: 0.2268, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.485, weighted_recall: 0.6922, number_of_instances: 510, precision: 0.6898, predictive_accuracy: 0.6922, prior_entropy: 0.9775, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9767, scimark_benchmark: 979.7764, unweighted_recall: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5983, kappa: 0.2059, kb_relative_information_score: 70.6746, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6882, predictive_accuracy: 0.6549, prior_entropy: 0.9791, recall: 0.6549, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9824, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6447, kappa: 0.263, kb_relative_information_score: 86.9305, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6435, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0212, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6541, kappa: 0.2892, kb_relative_information_score: 121.257, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6559, predictive_accuracy: 0.6529, prior_entropy: 0.9791, recall: 0.6529, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0861, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 916.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6292, kappa: 0.229, kb_relative_information_score: 71.1484, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6328, predictive_accuracy: 0.6412, prior_entropy: 0.9791, recall: 0.6412, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.95, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6828, kappa: 0.3411, kb_relative_information_score: 104.3089, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6824, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9327, scimark_benchmark: 938.8177, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.552, kappa: 0.1205, kb_relative_information_score: 37.1263, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6242, predictive_accuracy: 0.6196, prior_entropy: 0.9791, recall: 0.6196, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0252, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6986, kappa: 0.3731, kb_relative_information_score: 105.6662, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7002, predictive_accuracy: 0.7039, prior_entropy: 0.9791, recall: 0.7039, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9267, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5983, kappa: 0.2059, kb_relative_information_score: 70.6746, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6882, predictive_accuracy: 0.6549, prior_entropy: 0.9791, recall: 0.6549, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9824, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6447, kappa: 0.263, kb_relative_information_score: 86.9305, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6435, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0212, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6541, kappa: 0.2892, kb_relative_information_score: 121.257, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6559, predictive_accuracy: 0.6529, prior_entropy: 0.9791, recall: 0.6529, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0861, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 943.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6292, kappa: 0.229, kb_relative_information_score: 71.1484, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6328, predictive_accuracy: 0.6412, prior_entropy: 0.9791, recall: 0.6412, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.95, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6828, kappa: 0.3411, kb_relative_information_score: 104.3089, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6824, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9327, scimark_benchmark: 905.2959, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.552, kappa: 0.1205, kb_relative_information_score: 37.1263, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6242, predictive_accuracy: 0.6196, prior_entropy: 0.9791, recall: 0.6196, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0252, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6986, kappa: 0.3731, kb_relative_information_score: 105.6662, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7002, predictive_accuracy: 0.7039, prior_entropy: 0.9791, recall: 0.7039, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9267, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6862, kappa: 0.3513, kb_relative_information_score: 87.4385, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7092, predictive_accuracy: 0.7039, prior_entropy: 0.9791, recall: 0.7039, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.917, scimark_benchmark: 936.2574, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.6938, kappa: 0.3675, kb_relative_information_score: 91.5533, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7196, predictive_accuracy: 0.7118, prior_entropy: 0.9791, recall: 0.7118, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9093, scimark_benchmark: 906.5979, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.691, kappa: 0.3608, kb_relative_information_score: 88.7289, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7131, predictive_accuracy: 0.7078, prior_entropy: 0.9791, recall: 0.7078, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9177, scimark_benchmark: 929.7512, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.7047, kappa: 0.3884, kb_relative_information_score: 91.0947, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7253, predictive_accuracy: 0.7196, prior_entropy: 0.9791, recall: 0.7196, relative_absolute_error: 0.8455, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9181, scimark_benchmark: 901.5805, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.6732, kappa: 0.3214, kb_relative_information_score: 84.5977, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6836, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9278, scimark_benchmark: 920.3788, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7279, kappa: 0.4346, kb_relative_information_score: 207.1434, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7287, predictive_accuracy: 0.7314, prior_entropy: 0.9791, recall: 0.7314, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9966, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7258, kappa: 0.43, kb_relative_information_score: 206.1061, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7267, predictive_accuracy: 0.7294, prior_entropy: 0.9791, recall: 0.7294, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9976, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.7218, kappa: 0.4218, kb_relative_information_score: 202.2678, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7227, predictive_accuracy: 0.7255, prior_entropy: 0.9791, recall: 0.7255, relative_absolute_error: 0.6004, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0011, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.7106, kappa: 0.398, kb_relative_information_score: 183.0324, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7126, predictive_accuracy: 0.7157, prior_entropy: 0.9791, recall: 0.7157, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0174, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.7036, kappa: 0.3849, kb_relative_information_score: 163.7136, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7031, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9979, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.4357, kb_relative_information_score: -0.5015, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.0006, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.7008, kappa: 0.3777, kb_relative_information_score: 189.2731, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7023, predictive_accuracy: 0.7059, prior_entropy: 0.9791, recall: 0.7059, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0556, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6828, kappa: 0.3411, kb_relative_information_score: 104.3089, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6824, predictive_accuracy: 0.6863, prior_entropy: 0.9791, recall: 0.6863, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9327, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4357, kb_relative_information_score: 71.1217, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.346, predictive_accuracy: 0.5882, prior_entropy: 0.9791, recall: 0.5882, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.3038, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5734, kappa: 0.1645, kb_relative_information_score: 54.2358, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6678, predictive_accuracy: 0.6392, prior_entropy: 0.9791, recall: 0.6392, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9931, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.552, kappa: 0.1205, kb_relative_information_score: 37.1263, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6242, predictive_accuracy: 0.6196, prior_entropy: 0.9791, recall: 0.6196, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0252, scimark_benchmark: 1322.1893, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6986, kappa: 0.3731, kb_relative_information_score: 105.6662, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7002, predictive_accuracy: 0.7039, prior_entropy: 0.9791, recall: 0.7039, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9267, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.6447, kappa: 0.263, kb_relative_information_score: 86.9305, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6435, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0212, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.6562, kappa: 0.2937, kb_relative_information_score: 120.73, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6582, predictive_accuracy: 0.6549, prior_entropy: 0.9791, recall: 0.6549, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.0849, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7044, kappa: 0.3859, kb_relative_information_score: 103.7924, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7045, predictive_accuracy: 0.7078, prior_entropy: 0.9791, recall: 0.7078, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9246, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 0.679, f_measure: 0.6292, kappa: 0.229, kb_relative_information_score: 71.1484, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6328, predictive_accuracy: 0.6412, prior_entropy: 0.9791, recall: 0.6412, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.95, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6986, kappa: 0.3731, kb_relative_information_score: 105.6662, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.7002, predictive_accuracy: 0.7039, prior_entropy: 0.9791, recall: 0.7039, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9267, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.5983, kappa: 0.2059, kb_relative_information_score: 70.6746, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.485, number_of_instances: 510, precision: 0.6882, predictive_accuracy: 0.6549, prior_entropy: 0.9791, recall: 0.6549, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9824, scimark_benchmark: 1317.071,

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