Task
Supervised Classification on yeast

Supervised Classification on yeast

Task 2073 Supervised Classification yeast 1323 runs submitted
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  • at2 study_1 study_107 study_41 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 4.9702, build_memory: 689114818.2372, f_measure: 0.6131, kappa: 0.5087, kb_relative_information_score: 729.4825, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6103, predictive_accuracy: 0.622, prior_entropy: 2.5035, recall: 0.622, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8178, scimark_benchmark: 946.1558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.0039, build_memory: 826636106.9757, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.0081, build_memory: 375968810.1887, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.0063, build_memory: 840319555.6334, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, build_cpu_time: 0.8492, build_memory: 1286116313.4609, f_measure: 0.5971, kappa: 0.4869, kb_relative_information_score: 718.2126, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5982, predictive_accuracy: 0.6065, prior_entropy: 2.5035, recall: 0.6065, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.8204, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, build_cpu_time: 0.2577, build_memory: 1187891830.8679, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.0039, build_memory: 656603749.3208, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, build_cpu_time: 0.2635, build_memory: 458088026.0539, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, build_cpu_time: 0.2339, build_memory: 1082274732.0593, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, build_cpu_time: 0.2461, build_memory: 447888227.628, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.0071, build_memory: 279268754.0431, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, build_cpu_time: 0.9196, build_memory: 997965277.2884, f_measure: 0.5971, kappa: 0.4869, kb_relative_information_score: 718.2126, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5982, predictive_accuracy: 0.6065, prior_entropy: 2.5035, recall: 0.6065, relative_absolute_error: 0.6554, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.8204, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.5865, kappa: 0.4724, kb_relative_information_score: 774.0495, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5831, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2814, root_relative_squared_error: 1.0098, scimark_benchmark: 915.2795, usercpu_time_millis: 4970, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.5542, kappa: 0.4307, kb_relative_information_score: 697.9989, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5502, predictive_accuracy: 0.56, prior_entropy: 2.5035, recall: 0.56, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.8907, scimark_benchmark: 932.3943, usercpu_time_millis: 10450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.5957, kappa: 0.4887, kb_relative_information_score: 661.6584, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.591, predictive_accuracy: 0.6085, prior_entropy: 2.5035, recall: 0.6085, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.8366, scimark_benchmark: 943.2745, usercpu_time_millis: 710, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, build_cpu_time: 1.9282, build_memory: 894035283.8383, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 63.5008, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.1241, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0465, scimark_benchmark: 942.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.5614, kappa: 0.4395, kb_relative_information_score: 648.1852, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5624, predictive_accuracy: 0.5701, prior_entropy: 2.5035, recall: 0.5701, relative_absolute_error: 0.7054, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.8497, scimark_benchmark: 915.2795, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.569, kappa: 0.4472, kb_relative_information_score: 731.9412, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5707, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.9135, scimark_benchmark: 947.0793, usercpu_time_millis: 5320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.5833, kappa: 0.4646, kb_relative_information_score: 772.6138, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5854, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9489, scimark_benchmark: 947.0793, usercpu_time_millis: 11120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.5894, kappa: 0.476, kb_relative_information_score: 773.1186, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5863, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.283, root_relative_squared_error: 1.0155, scimark_benchmark: 947.0793, usercpu_time_millis: 12460, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 11540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.1484, kb_relative_information_score: 7.5372, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2787, root_relative_squared_error: 1.0001, scimark_benchmark: 923.3111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 42.1581, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2854, root_relative_squared_error: 1.0238, scimark_benchmark: 921.8984, usercpu_time_millis: 3720, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 2610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.587, kappa: 0.4735, kb_relative_information_score: 690.6585, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5851, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.8328, scimark_benchmark: 911.3823, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.5777, kappa: 0.4578, kb_relative_information_score: 728.1068, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5773, predictive_accuracy: 0.5836, prior_entropy: 2.5035, recall: 0.5836, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.8632, scimark_benchmark: 929.566, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.5804, kappa: 0.465, kb_relative_information_score: 766.2642, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5768, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2803, root_relative_squared_error: 1.0056, scimark_benchmark: 915.2795, usercpu_time_millis: 3030, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 2830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.2465, kappa: 0.1835, kb_relative_information_score: 286.5786, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.318, predictive_accuracy: 0.405, prior_entropy: 2.5035, recall: 0.405, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.9476, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1484, kb_relative_information_score: 189.127, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.0973, predictive_accuracy: 0.312, prior_entropy: 2.5035, recall: 0.312, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.331, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, build_cpu_time: 268.6988, build_memory: 1337339877.8706, f_measure: 0.6019, kappa: 0.4932, kb_relative_information_score: 734.9814, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5991, predictive_accuracy: 0.6098, prior_entropy: 2.5035, recall: 0.6098, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.8223, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 155.1697, build_memory: 271923265.2668, f_measure: 0.6025, kappa: 0.4927, kb_relative_information_score: 735.6759, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6012, predictive_accuracy: 0.6098, prior_entropy: 2.5035, recall: 0.6098, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.8255, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 90.9716, build_memory: 962965252.4798, f_measure: 0.5888, kappa: 0.4745, kb_relative_information_score: 732.6737, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5856, predictive_accuracy: 0.595, prior_entropy: 2.5035, recall: 0.595, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.8348, scimark_benchmark: 742.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6052, kappa: 0.4973, kb_relative_information_score: 729.5581, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6017, predictive_accuracy: 0.6132, prior_entropy: 2.5035, recall: 0.6132, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, build_cpu_time: 0.6683, build_memory: 235977672.7925, f_measure: 0.606, kappa: 0.5, kb_relative_information_score: 732.3763, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6029, predictive_accuracy: 0.6152, prior_entropy: 2.5035, recall: 0.6152, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.8243, scimark_benchmark: 944.1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, build_cpu_time: 0.6965, build_memory: 191169378.7278, f_measure: 0.606, kappa: 0.5, kb_relative_information_score: 732.3763, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6029, predictive_accuracy: 0.6152, prior_entropy: 2.5035, recall: 0.6152, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.8243, scimark_benchmark: 945.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.5656, kappa: 0.4486, kb_relative_information_score: 637.0649, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5618, predictive_accuracy: 0.5761, prior_entropy: 2.5035, recall: 0.5761, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.8673, scimark_benchmark: 945.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.5925, kappa: 0.4815, kb_relative_information_score: 695.0854, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5906, predictive_accuracy: 0.6018, prior_entropy: 2.5035, recall: 0.6018, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.235, root_relative_squared_error: 0.8432, scimark_benchmark: 944.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.5833, kappa: 0.4646, kb_relative_information_score: 772.6138, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5854, predictive_accuracy: 0.5889, prior_entropy: 2.5035, recall: 0.5889, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9489,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 3.9449, build_memory: 696155281.7412, f_measure: 0.569, kappa: 0.4472, kb_relative_information_score: 731.9412, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5707, predictive_accuracy: 0.5748, prior_entropy: 2.5035, recall: 0.5748, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.9135, scimark_benchmark: 921.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, build_cpu_time: 15.1364, build_memory: 1032657251.779, f_measure: 0.5979, kappa: 0.4835, kb_relative_information_score: 786.5768, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5991, predictive_accuracy: 0.6044, prior_entropy: 2.5035, recall: 0.6044, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9677, scimark_benchmark: 944.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.509, kappa: 0.3653, kb_relative_information_score: 629.3153, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5104, predictive_accuracy: 0.5094, prior_entropy: 2.5035, recall: 0.5094, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3132, root_relative_squared_error: 1.1239, scimark_benchmark: 943.6996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.5618, kappa: 0.441, kb_relative_information_score: 642.001, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5612, predictive_accuracy: 0.5708, prior_entropy: 2.5035, recall: 0.5708, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.238, root_relative_squared_error: 0.8538, scimark_benchmark: 922.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.5227, kappa: 0.3856, kb_relative_information_score: 656.4455, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5237, predictive_accuracy: 0.5229, prior_entropy: 2.5035, recall: 0.5229, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3078, root_relative_squared_error: 1.1043, scimark_benchmark: 931.0709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.6028, kappa: 0.4891, kb_relative_information_score: 181.787, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6104, predictive_accuracy: 0.6105, prior_entropy: 2.5035, recall: 0.6105, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.9965, scimark_benchmark: 937.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.3333, kappa: 0.1337, kb_relative_information_score: 316.5149, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.3385, predictive_accuracy: 0.3632, prior_entropy: 2.5035, recall: 0.3632, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3569, root_relative_squared_error: 1.2805, scimark_benchmark: 936.0853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.3216, kappa: 0.1683, kb_relative_information_score: 403.8575, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.337, predictive_accuracy: 0.3922, prior_entropy: 2.5035, recall: 0.3922, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.0267, scimark_benchmark: 935.7289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.5379, kappa: 0.4051, kb_relative_information_score: 680.0379, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.54, predictive_accuracy: 0.5404, prior_entropy: 2.5035, recall: 0.5404, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.9915, scimark_benchmark: 943.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.5553, kappa: 0.4315, kb_relative_information_score: 600.9642, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5547, predictive_accuracy: 0.564, prior_entropy: 2.5035, recall: 0.564, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.5907, kappa: 0.4783, kb_relative_information_score: 772.2346, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.586, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2813, root_relative_squared_error: 1.0092, scimark_benchmark: 908.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5655, f_measure: 0.3021, kappa: 0.135, kb_relative_information_score: 295.4317, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.2794, predictive_accuracy: 0.3605, prior_entropy: 2.5035, recall: 0.3605, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.2832, scimark_benchmark: 934.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.5756, kappa: 0.4607, kb_relative_information_score: 176.5608, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.6007, predictive_accuracy: 0.5903, prior_entropy: 2.5035, recall: 0.5903, relative_absolute_error: 1.0497, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.278, root_relative_squared_error: 0.9976, scimark_benchmark: 941.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.2436, kappa: 0.1852, kb_relative_information_score: 338.5879, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.1753, predictive_accuracy: 0.407, prior_entropy: 2.5035, recall: 0.407, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9373, scimark_benchmark: 940.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5664, kappa: 0.4525, kb_relative_information_score: 67.0357, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5825, predictive_accuracy: 0.5768, prior_entropy: 2.5035, recall: 0.5768, relative_absolute_error: 1.1239, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.0464, scimark_benchmark: 931.0271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.558, kappa: 0.4406, kb_relative_information_score: 607.3009, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5566, predictive_accuracy: 0.5721, prior_entropy: 2.5035, recall: 0.5721, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.8704, scimark_benchmark: 924.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.5693, kappa: 0.4465, kb_relative_information_score: 693.7395, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5741, predictive_accuracy: 0.5775, prior_entropy: 2.5035, recall: 0.5775, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.847, scimark_benchmark: 936.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.5824, kappa: 0.4746, kb_relative_information_score: 524.8807, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5814, predictive_accuracy: 0.5964, prior_entropy: 2.5035, recall: 0.5964, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.9166, scimark_benchmark: 920.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 920.0945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 63.5008, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.1241, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0465, scimark_benchmark: 937.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5595, kappa: 0.4361, kb_relative_information_score: 686.2257, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5588, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9538, scimark_benchmark: 944.6522,

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