Task
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1917 Supervised Classification diabetes 778 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, build_cpu_time: 1.0686, build_memory: 110519358.574, f_measure: 0.7565, kappa: 0.4601, kb_relative_information_score: 3407.7366, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7553, predictive_accuracy: 0.7586, prior_entropy: 0.9335, recall: 0.7586, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9817, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, build_cpu_time: 0.5686, build_memory: 226066813.374, f_measure: 0.7566, kappa: 0.4595, kb_relative_information_score: 3431.6318, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7554, predictive_accuracy: 0.7594, prior_entropy: 0.9335, recall: 0.7594, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9742, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, build_cpu_time: 0.575, build_memory: 501237105.0208, f_measure: 0.7566, kappa: 0.4595, kb_relative_information_score: 3431.6318, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7554, predictive_accuracy: 0.7594, prior_entropy: 0.9335, recall: 0.7594, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9742, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 4.1319, build_memory: 1423549841.0427, f_measure: 0.7559, kappa: 0.4523, kb_relative_information_score: 2424.6932, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7583, predictive_accuracy: 0.7642, prior_entropy: 0.9335, recall: 0.7642, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 925.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.2908, build_memory: 232916633.2458, f_measure: 0.7515, kappa: 0.4483, kb_relative_information_score: 3348.8549, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7502, predictive_accuracy: 0.7542, prior_entropy: 0.9335, recall: 0.7542, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9793, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, build_cpu_time: 2.4859, build_memory: 1239651627.85, f_measure: 0.7599, kappa: 0.4677, kb_relative_information_score: 3452.8102, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7587, predictive_accuracy: 0.7618, prior_entropy: 0.9335, recall: 0.7618, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9839, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, build_cpu_time: 4.7253, build_memory: 268497734.6073, f_measure: 0.7521, kappa: 0.451, kb_relative_information_score: 3333.0059, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7509, predictive_accuracy: 0.7538, prior_entropy: 0.9335, recall: 0.7538, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.0089, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, build_cpu_time: 0.323, build_memory: 188518949.3521, f_measure: 0.7588, kappa: 0.4635, kb_relative_information_score: 2612.8369, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7576, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 927.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.1601, build_memory: 2806994647.6885, f_measure: 0.7554, kappa: 0.4563, kb_relative_information_score: 2603.3152, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7542, predictive_accuracy: 0.7585, prior_entropy: 0.9335, recall: 0.7585, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 944.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.1765, build_memory: 363316378.3656, f_measure: 0.7554, kappa: 0.4563, kb_relative_information_score: 2603.3152, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7542, predictive_accuracy: 0.7585, prior_entropy: 0.9335, recall: 0.7585, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 894.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 8.1894, build_memory: 104926837.4865, f_measure: 0.7562, kappa: 0.453, kb_relative_information_score: 2416.4022, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7587, predictive_accuracy: 0.7646, prior_entropy: 0.9335, recall: 0.7646, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8398, scimark_benchmark: 945.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.6433, build_memory: 934059436.6344, f_measure: 0.7587, kappa: 0.4631, kb_relative_information_score: 2617.1441, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7576, predictive_accuracy: 0.7621, prior_entropy: 0.9335, recall: 0.7621, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, scimark_benchmark: 945.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, build_cpu_time: 1.2617, build_memory: 582764080.5146, f_measure: 0.7602, kappa: 0.4661, kb_relative_information_score: 2623.1932, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7592, predictive_accuracy: 0.7639, prior_entropy: 0.9335, recall: 0.7639, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8347, scimark_benchmark: 948.5778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7615, kappa: 0.4645, kb_relative_information_score: 2452.2744, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7652, predictive_accuracy: 0.7703, prior_entropy: 0.9335, recall: 0.7703, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1331.2332, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 1342.1678, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7593, kappa: 0.461, kb_relative_information_score: 2707.7468, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7602, predictive_accuracy: 0.766, prior_entropy: 0.9335, recall: 0.766, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.89, scimark_benchmark: 1345.842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7606, kappa: 0.4655, kb_relative_information_score: 2540.0911, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7601, predictive_accuracy: 0.7655, prior_entropy: 0.9335, recall: 0.7655, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 892.0148, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1281.7531, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1260.1387, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7396, kappa: 0.4197, kb_relative_information_score: 2336.6746, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7383, predictive_accuracy: 0.7441, prior_entropy: 0.9335, recall: 0.7441, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8926, scimark_benchmark: 939.9176, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.716, kappa: 0.3616, kb_relative_information_score: 2887.2861, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7179, predictive_accuracy: 0.7276, prior_entropy: 0.9335, recall: 0.7276, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5219, root_relative_squared_error: 1.095, scimark_benchmark: 1418.5826, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7288, kappa: 0.3998, kb_relative_information_score: 2365.6662, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7276, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8834, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7502, kappa: 0.4425, kb_relative_information_score: 2720.2096, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7494, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8513, scimark_benchmark: 918.0213, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7518, kappa: 0.4462, kb_relative_information_score: 2796.5761, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8503, scimark_benchmark: 1363.434, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7507, kappa: 0.4439, kb_relative_information_score: 2653.5724, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7498, predictive_accuracy: 0.7555, prior_entropy: 0.9335, recall: 0.7555, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.852, scimark_benchmark: 1336.2509, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7324, kappa: 0.4073, kb_relative_information_score: 2048.8398, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7311, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7286, kappa: 0.3939, kb_relative_information_score: 2424.3149, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7273, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6925, kappa: 0.3174, kb_relative_information_score: 2130.4492, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6904, predictive_accuracy: 0.6957, prior_entropy: 0.9335, recall: 0.6957, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4884, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7283, kappa: 0.3889, kb_relative_information_score: 1986.1117, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7324, predictive_accuracy: 0.7405, prior_entropy: 0.9335, recall: 0.7405, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.74, kappa: 0.4155, kb_relative_information_score: 2827.6862, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7443, predictive_accuracy: 0.7512, prior_entropy: 0.9335, recall: 0.7512, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7426, kappa: 0.4201, kb_relative_information_score: 2060.261, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7529, predictive_accuracy: 0.7572, prior_entropy: 0.9335, recall: 0.7572, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7355, kappa: 0.4051, kb_relative_information_score: 1852.4, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7402, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7318, kappa: 0.3969, kb_relative_information_score: 1902.4371, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7359, predictive_accuracy: 0.7436, prior_entropy: 0.9335, recall: 0.7436, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7369, kappa: 0.4144, kb_relative_information_score: 2128.9184, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7354, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7291, kappa: 0.4005, kb_relative_information_score: 2057.3561, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7279, predictive_accuracy: 0.7309, prior_entropy: 0.9335, recall: 0.7309, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.6934, kappa: 0.3182, kb_relative_information_score: 2153.4915, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6911, predictive_accuracy: 0.6975, prior_entropy: 0.9335, recall: 0.6975, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0254,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7341, kappa: 0.4012, kb_relative_information_score: 2072.0146, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7418, predictive_accuracy: 0.7482, prior_entropy: 0.9335, recall: 0.7482, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7321, kappa: 0.4043, kb_relative_information_score: 2093.8321, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7305, predictive_accuracy: 0.7355, prior_entropy: 0.9335, recall: 0.7355, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6863, kappa: 0.3004, kb_relative_information_score: 2115.8372, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6837, predictive_accuracy: 0.6919, prior_entropy: 0.9335, recall: 0.6919, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7273, kappa: 0.3871, kb_relative_information_score: 2015.7274, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7301, predictive_accuracy: 0.7385, prior_entropy: 0.9335, recall: 0.7385, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7339, kappa: 0.4021, kb_relative_information_score: 2814.2999, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7365, predictive_accuracy: 0.7443, prior_entropy: 0.9335, recall: 0.7443, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.7405, kappa: 0.4189, kb_relative_information_score: 2074.8042, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7405, predictive_accuracy: 0.7477, prior_entropy: 0.9335, recall: 0.7477, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7102, kappa: 0.3908, kb_relative_information_score: 2481.3586, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.732, predictive_accuracy: 0.7038, prior_entropy: 0.9335, recall: 0.7038, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0879,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7296, kappa: 0.3922, kb_relative_information_score: 1934.4701, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7324, predictive_accuracy: 0.7406, prior_entropy: 0.9335, recall: 0.7406, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7223, kappa: 0.3828, kb_relative_information_score: 2072.6676, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7205, predictive_accuracy: 0.7257, prior_entropy: 0.9335, recall: 0.7257, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7276, kappa: 0.3977, kb_relative_information_score: 2061.2192, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7265, predictive_accuracy: 0.7289, prior_entropy: 0.9335, recall: 0.7289, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7281, kappa: 0.3938, kb_relative_information_score: 2538.1196, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7265, predictive_accuracy: 0.7329, prior_entropy: 0.9335, recall: 0.7329, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.726, kappa: 0.3842, kb_relative_information_score: 2031.1766, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7282, predictive_accuracy: 0.7368, prior_entropy: 0.9335, recall: 0.7368, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8664,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.7327, kappa: 0.3983, kb_relative_information_score: 2083.786, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7391, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7188, kappa: 0.3748, kb_relative_information_score: 2060.1372, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.717, predictive_accuracy: 0.7225, prior_entropy: 0.9335, recall: 0.7225, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9136,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7276, kappa: 0.3881, kb_relative_information_score: 1967.6456, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7297, predictive_accuracy: 0.7382, prior_entropy: 0.9335, recall: 0.7382, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.711, kappa: 0.3571, kb_relative_information_score: 2003.7278, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.709, predictive_accuracy: 0.715, prior_entropy: 0.9335, recall: 0.715, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7244, kappa: 0.3919, kb_relative_information_score: 2052.4763, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7237, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7322, kappa: 0.4035, kb_relative_information_score: 2602.1704, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7306, predictive_accuracy: 0.7365, prior_entropy: 0.9335, recall: 0.7365, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6772, kappa: 0.2797, kb_relative_information_score: 2036.1275, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6744, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7214, kappa: 0.3748, kb_relative_information_score: 2053.7961, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7221, predictive_accuracy: 0.7311, prior_entropy: 0.9335, recall: 0.7311, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7295, kappa: 0.3934, kb_relative_information_score: 2815.3893, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.73, predictive_accuracy: 0.7382, prior_entropy: 0.9335, recall: 0.7382, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7305, kappa: 0.3933, kb_relative_information_score: 2084.1338, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7363, predictive_accuracy: 0.7438, prior_entropy: 0.9335, recall: 0.7438, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7141, kappa: 0.3931, kb_relative_information_score: 2543.4674, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7302, predictive_accuracy: 0.7085, prior_entropy: 0.9335, recall: 0.7085, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.729, kappa: 0.3906, kb_relative_information_score: 1960.2394, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7329, predictive_accuracy: 0.741, prior_entropy: 0.9335, recall: 0.741, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7249, kappa: 0.382, kb_relative_information_score: 1977.2133, mean_absolute_error: 0.3393, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7269, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7099, kappa: 0.3546, kb_relative_information_score: 2007.1214, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7079, predictive_accuracy: 0.7139, prior_entropy: 0.9335, recall: 0.7139, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7209, kappa: 0.3841, kb_relative_information_score: 2049.1511, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7202, predictive_accuracy: 0.7216, prior_entropy: 0.9335, recall: 0.7216, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7349, kappa: 0.4061, kb_relative_information_score: 2633.6028, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.735, predictive_accuracy: 0.7426, prior_entropy: 0.9335, recall: 0.7426, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.6678, kappa: 0.2579, kb_relative_information_score: 1983.4026, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6646, predictive_accuracy: 0.675, prior_entropy: 0.9335, recall: 0.675, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7263, kappa: 0.3953, kb_relative_information_score: 2882.7069, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7254, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0955, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7357, kappa: 0.4094, kb_relative_information_score: 2062.7282, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7347, predictive_accuracy: 0.7415, prior_entropy: 0.9335, recall: 0.7415, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9109, scimark_benchmark: 1066.7184, usercpu_time_millis: 60, usercpu_time_millis_training: 60,

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