Task
Supervised Classification on autos

Supervised Classification on autos

Task 1889 Supervised Classification autos 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.0616, build_memory: 3448250484.5073, f_measure: 0.8246, kappa: 0.7715, kb_relative_information_score: 1409.0119, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.833, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5982, scimark_benchmark: 909.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, build_cpu_time: 0.0611, build_memory: 1435315275.4263, f_measure: 0.8246, kappa: 0.7715, kb_relative_information_score: 1409.0119, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.833, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5982, scimark_benchmark: 906.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, build_cpu_time: 0.113, build_memory: 5000360058.002, f_measure: 0.8246, kappa: 0.7714, kb_relative_information_score: 1414.1627, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8345, predictive_accuracy: 0.8249, prior_entropy: 2.3268, recall: 0.8249, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 925.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, build_cpu_time: 0.221, build_memory: 225548700.8234, f_measure: 0.829, kappa: 0.7765, kb_relative_information_score: 1415.7404, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8382, predictive_accuracy: 0.8288, prior_entropy: 2.3268, recall: 0.8288, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.5864, scimark_benchmark: 924.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, build_cpu_time: 0.4482, build_memory: 397416322.3063, f_measure: 0.8308, kappa: 0.7791, kb_relative_information_score: 1418.3784, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8401, predictive_accuracy: 0.8307, prior_entropy: 2.3268, recall: 0.8307, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5842, scimark_benchmark: 946.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, build_cpu_time: 3.808, build_memory: 845790171.0712, f_measure: 0.8028, kappa: 0.7429, kb_relative_information_score: 1342.7448, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8127, predictive_accuracy: 0.8049, prior_entropy: 2.3268, recall: 0.8049, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6228, scimark_benchmark: 723.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 1.8935, build_memory: 1075643012.2849, f_measure: 0.7984, kappa: 0.7369, kb_relative_information_score: 1340.5315, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8092, predictive_accuracy: 0.8005, prior_entropy: 2.3268, recall: 0.8005, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.625, scimark_benchmark: 756.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8161, kappa: 0.7615, kb_relative_information_score: 1547.2693, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8199, predictive_accuracy: 0.8166, prior_entropy: 2.3268, recall: 0.8166, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.6442, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4611, f_measure: 0.161, kb_relative_information_score: 2.7585, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0004, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.6767, kappa: 0.5844, kb_relative_information_score: 1228.102, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6769, predictive_accuracy: 0.6795, prior_entropy: 2.3268, recall: 0.6795, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.9121, scimark_benchmark: 1380.2233, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.615, kappa: 0.5057, kb_relative_information_score: 1062.7067, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6261, predictive_accuracy: 0.6322, prior_entropy: 2.3268, recall: 0.6322, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9771, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7496, kappa: 0.6764, kb_relative_information_score: 1390.0604, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7507, predictive_accuracy: 0.7498, prior_entropy: 2.3268, recall: 0.7498, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7503, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, f_measure: 0.3255, kappa: 0.1662, kb_relative_information_score: 198.4147, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.97, predictive_accuracy: 0.2151, prior_entropy: 2.3268, recall: 0.2151, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.4274, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7337, kappa: 0.6534, kb_relative_information_score: 1355.9402, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7402, predictive_accuracy: 0.7346, prior_entropy: 2.3268, recall: 0.7346, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.83, scimark_benchmark: 1435.4217, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7284, kappa: 0.6501, kb_relative_information_score: 1334.34, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7299, predictive_accuracy: 0.7317, prior_entropy: 2.3268, recall: 0.7317, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.254, root_relative_squared_error: 0.7655, scimark_benchmark: 825.5282, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.5922, kappa: 0.4803, kb_relative_information_score: 1027.1963, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5902, predictive_accuracy: 0.6059, prior_entropy: 2.3268, recall: 0.6059, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8595, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7556, kappa: 0.6828, kb_relative_information_score: 1423.1825, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7556, predictive_accuracy: 0.7556, prior_entropy: 2.3268, recall: 0.7556, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7628, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1313.5726, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.326, kappa: 0.1284, kb_relative_information_score: 399.684, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3203, predictive_accuracy: 0.34, prior_entropy: 2.3268, recall: 0.34, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4342, root_relative_squared_error: 1.3089, scimark_benchmark: 912.5006, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7455, kappa: 0.6707, kb_relative_information_score: 1336.8451, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7458, predictive_accuracy: 0.7468, prior_entropy: 2.3268, recall: 0.7468, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.7086, scimark_benchmark: 1337.7959, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.6955, kappa: 0.6102, kb_relative_information_score: 370.8093, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6966, predictive_accuracy: 0.7, prior_entropy: 2.3268, recall: 0.7, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.9357, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.3336, kappa: 0.2119, kb_relative_information_score: 114.6414, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.2676, predictive_accuracy: 0.4512, prior_entropy: 2.3268, recall: 0.4512, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.9864, scimark_benchmark: 930.5999, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.6845, kappa: 0.5858, kb_relative_information_score: 1243.2184, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6976, predictive_accuracy: 0.6766, prior_entropy: 2.3268, recall: 0.6766, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7799, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6232, kappa: 0.5092, kb_relative_information_score: 1119.0373, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6256, predictive_accuracy: 0.6229, prior_entropy: 2.3268, recall: 0.6229, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.8003, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 1304.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 1442.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 915.6729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.733, kappa: 0.6544, kb_relative_information_score: 1356.2131, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7346, predictive_accuracy: 0.7327, prior_entropy: 2.3268, recall: 0.7327, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7509, scimark_benchmark: 1336.2509, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.6586, kappa: 0.5599, kb_relative_information_score: 1047.2923, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6667, predictive_accuracy: 0.6639, prior_entropy: 2.3268, recall: 0.6639, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8009, scimark_benchmark: 1369.9744, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8116, kappa: 0.7535, kb_relative_information_score: 1531.692, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8166, predictive_accuracy: 0.8112, prior_entropy: 2.3268, recall: 0.8112, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.6332, scimark_benchmark: 938.9967, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.6892, kappa: 0.6029, kb_relative_information_score: 1037.7151, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6858, predictive_accuracy: 0.6985, prior_entropy: 2.3268, recall: 0.6985, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.7558, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7038, kappa: 0.6222, kb_relative_information_score: 1048.2722, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7012, predictive_accuracy: 0.7127, prior_entropy: 2.3268, recall: 0.7127, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.7435, scimark_benchmark: 860.584, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.562, kappa: 0.4483, kb_relative_information_score: 1019.0001, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5836, predictive_accuracy: 0.5663, prior_entropy: 2.3268, recall: 0.5663, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.9571, scimark_benchmark: 1363.434, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.3336, kappa: 0.2157, kb_relative_information_score: 488.345, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.265, predictive_accuracy: 0.4502, prior_entropy: 2.3268, recall: 0.4502, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9473, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6488, kappa: 0.5494, kb_relative_information_score: 1047.9296, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6475, predictive_accuracy: 0.6561, prior_entropy: 2.3268, recall: 0.6561, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.267, root_relative_squared_error: 0.8049, scimark_benchmark: 1345.8373, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.7894, kappa: 0.725, kb_relative_information_score: 1345.8951, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7946, predictive_accuracy: 0.7898, prior_entropy: 2.3268, recall: 0.7898, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.6553, scimark_benchmark: 1301.9176, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8084, kappa: 0.7499, kb_relative_information_score: 1471.1957, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8131, predictive_accuracy: 0.8083, prior_entropy: 2.3268, recall: 0.8083, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6248, scimark_benchmark: 1343.4572, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7189, kappa: 0.642, kb_relative_information_score: 1045.5098, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7164, predictive_accuracy: 0.7278, prior_entropy: 2.3268, recall: 0.7278, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.245, root_relative_squared_error: 0.7386, scimark_benchmark: 1347.5461, usercpu_time_millis: 270, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8004, kappa: 0.7398, kb_relative_information_score: 1541.0057, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8038, predictive_accuracy: 0.8005, prior_entropy: 2.3268, recall: 0.8005, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.6673, scimark_benchmark: 1327.2954, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.6631, kappa: 0.5728, kb_relative_information_score: 1249.7271, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.6718, predictive_accuracy: 0.6668, prior_entropy: 2.3268, recall: 0.6668, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8472, scimark_benchmark: 1313.5052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.405, kappa: 0.2655, kb_relative_information_score: 579.8294, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.5676, predictive_accuracy: 0.4741, prior_entropy: 2.3268, recall: 0.4741, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.9167, scimark_benchmark: 926.6704, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1335.5424, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1326.8946, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1278.6629, usercpu_time_millis: 480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.1979, kappa: 0.0292, kb_relative_information_score: 337.3697, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.3722, predictive_accuracy: 0.3454, prior_entropy: 2.3268, recall: 0.3454, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.3036, scimark_benchmark: 1327.3335, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1350.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1370.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1350.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1337.797, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1356.4396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.7646, kappa: 0.6964, kb_relative_information_score: 1419.8052, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7681, predictive_accuracy: 0.7659, prior_entropy: 2.3268, recall: 0.7659, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.233, root_relative_squared_error: 0.7023, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8343, kappa: 0.7844, kb_relative_information_score: 1387.8527, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.8354, predictive_accuracy: 0.8346, prior_entropy: 2.3268, recall: 0.8346, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.5902, scimark_benchmark: 1351.1238, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7533, kappa: 0.685, kb_relative_information_score: 1411.3276, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.7633, predictive_accuracy: 0.7595, prior_entropy: 2.3268, recall: 0.7595, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.7341, scimark_benchmark: 1330.3852, usercpu_time_millis: 460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8218, kappa: 0.7691, kb_relative_information_score: 1576.4273, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, precision: 0.822, predictive_accuracy: 0.822, prior_entropy: 2.3268, recall: 0.822, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6281, scimark_benchmark: 1334.9442,

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