Task
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 4312 Supervised Classification rmftsa_sleepdata 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, build_cpu_time: 0.1493, build_memory: 1009125816.5258, f_measure: 0.7326, kappa: 0.4656, kb_relative_information_score: 4561.6523, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7338, predictive_accuracy: 0.7329, prior_entropy: 1, recall: 0.7329, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9475, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, build_cpu_time: 0.2878, build_memory: 890670080.0977, f_measure: 0.728, kappa: 0.4566, kb_relative_information_score: 4560.1239, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7295, predictive_accuracy: 0.7284, prior_entropy: 1, recall: 0.7284, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9595, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, build_cpu_time: 0.0876, build_memory: 1288578998.8023, f_measure: 0.727, kappa: 0.4555, kb_relative_information_score: 4559.9925, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7307, predictive_accuracy: 0.7279, prior_entropy: 1, recall: 0.7279, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9634, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, build_cpu_time: 0.5946, build_memory: 946385818.95, f_measure: 0.7285, kappa: 0.4571, kb_relative_information_score: 4548.8748, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7289, predictive_accuracy: 0.7286, prior_entropy: 1, recall: 0.7286, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9523, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, build_cpu_time: 1.0679, build_memory: 1502917611.8375, f_measure: 0.7268, kappa: 0.4541, kb_relative_information_score: 4557.2678, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.728, predictive_accuracy: 0.7271, prior_entropy: 1, recall: 0.7271, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9618, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, build_cpu_time: 0.0507, build_memory: 106771956.9992, f_measure: 0.7327, kappa: 0.4654, kb_relative_information_score: 3224.4829, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7327, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8537, scimark_benchmark: 942.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.1035, build_memory: 1804577784.8852, f_measure: 0.7338, kappa: 0.4676, kb_relative_information_score: 3220.6898, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8525, scimark_benchmark: 940.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 0.2686, build_memory: 1150954546.5828, f_measure: 0.7333, kappa: 0.4666, kb_relative_information_score: 3218.8493, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8521, scimark_benchmark: 946.2939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 0.2873, build_memory: 95522055.7383, f_measure: 0.7333, kappa: 0.4666, kb_relative_information_score: 3218.8493, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7333, predictive_accuracy: 0.7333, prior_entropy: 1, recall: 0.7333, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8521, scimark_benchmark: 946.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, build_cpu_time: 0.1753, build_memory: 148348688.1547, f_measure: 0.7336, kappa: 0.4672, kb_relative_information_score: 3221.4054, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7336, predictive_accuracy: 0.7336, prior_entropy: 1, recall: 0.7336, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8521, scimark_benchmark: 934.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, build_cpu_time: 3.7193, build_memory: 280845877.8227, f_measure: 0.7193, kappa: 0.4397, kb_relative_information_score: 2857.2548, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7219, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8592, scimark_benchmark: 840.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.718, kappa: 0.4413, kb_relative_information_score: 4520.7113, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7299, predictive_accuracy: 0.721, prior_entropy: 1, recall: 0.721, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0385, scimark_benchmark: 1319.6817, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7203, kappa: 0.4486, kb_relative_information_score: 2579.0102, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7386, predictive_accuracy: 0.7247, prior_entropy: 1, recall: 0.7247, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8879, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7191, kappa: 0.442, kb_relative_information_score: 2860.5438, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7278, predictive_accuracy: 0.7213, prior_entropy: 1, recall: 0.7213, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8831, scimark_benchmark: 1339.9935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7012, kappa: 0.4037, kb_relative_information_score: 2993.7157, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.704, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8771, scimark_benchmark: 942.9708, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.702, kappa: 0.4042, kb_relative_information_score: 3453.3894, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7022, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043, scimark_benchmark: 1322.7257, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7191, kappa: 0.442, kb_relative_information_score: 2860.5438, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7278, predictive_accuracy: 0.7213, prior_entropy: 1, recall: 0.7213, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8831, scimark_benchmark: 1344.4042, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.702, kappa: 0.4042, kb_relative_information_score: 3453.3894, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7022, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043, scimark_benchmark: 1249.4068, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.702, kappa: 0.4042, kb_relative_information_score: 3453.3894, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7022, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043, scimark_benchmark: 1327.8711, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.3366, kb_relative_information_score: -0.069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.2529, predictive_accuracy: 0.5029, prior_entropy: 1, recall: 0.5029, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.7201, kappa: 0.4408, kb_relative_information_score: 4515.7166, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7215, predictive_accuracy: 0.7205, prior_entropy: 1, recall: 0.7205, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.0574, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.7203, kappa: 0.4486, kb_relative_information_score: 2937.5725, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7386, predictive_accuracy: 0.7247, prior_entropy: 1, recall: 0.7247, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8777, scimark_benchmark: 938.9967, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7203, kappa: 0.4486, kb_relative_information_score: 2941.8276, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7386, predictive_accuracy: 0.7247, prior_entropy: 1, recall: 0.7247, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8774, scimark_benchmark: 939.5205, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7203, kappa: 0.4486, kb_relative_information_score: 2951.5126, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7386, predictive_accuracy: 0.7247, prior_entropy: 1, recall: 0.7247, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8768, scimark_benchmark: 1304.9611, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7443, kappa: 0.4893, kb_relative_information_score: 3308.7846, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7459, predictive_accuracy: 0.7445, prior_entropy: 1, recall: 0.7445, relative_absolute_error: 0.7109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7344, kappa: 0.4688, kb_relative_information_score: 3145.387, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7346, predictive_accuracy: 0.7345, prior_entropy: 1, recall: 0.7345, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8684, scimark_benchmark: 1359.379, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5506, kappa: 0.1016, kb_relative_information_score: 1043.5453, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.551, predictive_accuracy: 0.551, prior_entropy: 1, recall: 0.551, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6701, root_relative_squared_error: 1.3402, scimark_benchmark: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7015, kappa: 0.4033, kb_relative_information_score: 4131.6976, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7022, predictive_accuracy: 0.7018, prior_entropy: 1, recall: 0.7018, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.0923, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.6481, kappa: 0.2965, kb_relative_information_score: 3037.6437, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6485, predictive_accuracy: 0.6483, prior_entropy: 1, recall: 0.6483, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.593, root_relative_squared_error: 1.186, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.7345, kappa: 0.4692, kb_relative_information_score: 3192.4094, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.735, predictive_accuracy: 0.7347, prior_entropy: 1, recall: 0.7347, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8661, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7373, kappa: 0.4748, kb_relative_information_score: 3326.3336, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7381, predictive_accuracy: 0.7375, prior_entropy: 1, recall: 0.7375, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8491, scimark_benchmark: 1321.7236, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7129, kappa: 0.4321, kb_relative_information_score: 2818.0267, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7265, predictive_accuracy: 0.7164, prior_entropy: 1, recall: 0.7164, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8841, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7418, kappa: 0.4841, kb_relative_information_score: 3236.177, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7428, predictive_accuracy: 0.742, prior_entropy: 1, recall: 0.742, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8614, scimark_benchmark: 1418.5826, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.6895, kappa: 0.3806, kb_relative_information_score: 2639.9609, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6921, predictive_accuracy: 0.6901, prior_entropy: 1, recall: 0.6901, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8735, scimark_benchmark: 922.1419, usercpu_time_millis: 6610, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.6847, kappa: 0.3719, kb_relative_information_score: 3476.0184, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6888, predictive_accuracy: 0.6857, prior_entropy: 1, recall: 0.6857, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9285, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.6858, kappa: 0.3783, kb_relative_information_score: 2440.4156, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6971, predictive_accuracy: 0.6888, prior_entropy: 1, recall: 0.6888, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9129, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.6839, kappa: 0.3735, kb_relative_information_score: 3817.6822, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6932, predictive_accuracy: 0.6864, prior_entropy: 1, recall: 0.6864, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.56, root_relative_squared_error: 1.12, scimark_benchmark: 1297.6356, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7273, kappa: 0.4566, kb_relative_information_score: 2263.2829, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7321, predictive_accuracy: 0.7285, prior_entropy: 1, recall: 0.7285, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8725, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.6864, kappa: 0.3786, kb_relative_information_score: 2462.6704, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.696, predictive_accuracy: 0.689, prior_entropy: 1, recall: 0.689, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9137, scimark_benchmark: 1331.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.6859, kappa: 0.3786, kb_relative_information_score: 2438.0338, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6974, predictive_accuracy: 0.689, prior_entropy: 1, recall: 0.689, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.913, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7307, kappa: 0.4654, kb_relative_information_score: 2834.0457, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7406, predictive_accuracy: 0.733, prior_entropy: 1, recall: 0.733, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.673, kappa: 0.3462, kb_relative_information_score: 3543.6686, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6732, predictive_accuracy: 0.673, prior_entropy: 1, recall: 0.673, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1436, scimark_benchmark: 1348.8402, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6895, kappa: 0.3825, kb_relative_information_score: 2336.6315, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.6955, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8955, scimark_benchmark: 1300.0105, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7397, kappa: 0.4793, kb_relative_information_score: 3189.6837, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7397, predictive_accuracy: 0.7396, prior_entropy: 1, recall: 0.7396, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8667, scimark_benchmark: 1284.2094, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.743, kappa: 0.486, kb_relative_information_score: 3176.8493, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7431, predictive_accuracy: 0.743, prior_entropy: 1, recall: 0.743, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.854, scimark_benchmark: 862.7006, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7302, kappa: 0.4604, kb_relative_information_score: 3316.1904, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7304, predictive_accuracy: 0.7303, prior_entropy: 1, recall: 0.7303, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8524, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.702, kappa: 0.4042, kb_relative_information_score: 3453.3894, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7022, predictive_accuracy: 0.7021, prior_entropy: 1, recall: 0.7021, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9043, scimark_benchmark: 901.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7434, kappa: 0.4868, kb_relative_information_score: 3185.569, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7435, predictive_accuracy: 0.7434, prior_entropy: 1, recall: 0.7434, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8526, scimark_benchmark: 921.2615, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7441, kappa: 0.4883, kb_relative_information_score: 3181.9438, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7443, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8525, scimark_benchmark: 859.5223, usercpu_time_millis: 740, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7438, kappa: 0.4878, kb_relative_information_score: 3183.1461, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.744, predictive_accuracy: 0.7438, prior_entropy: 1, recall: 0.7438, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8523, scimark_benchmark: 904.5548, usercpu_time_millis: 1390, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.731, kappa: 0.4649, kb_relative_information_score: 3009.4111, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7382, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8644, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7129, kappa: 0.4321, kb_relative_information_score: 2818.0267, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.5, number_of_instances: 10240, precision: 0.7265, predictive_accuracy: 0.7164, prior_entropy: 1, recall: 0.7164, relative_absolute_error: 0.7536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8841, scimark_benchmark: 1337.9552,

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