OpenML
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3057 Supervised Classification SPECTF 363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1349.9109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8221, kappa: 0.5804, kb_relative_information_score: 54.2523, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.833, predictive_accuracy: 0.8174, prior_entropy: 0.8464, recall: 0.8174, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9202, scimark_benchmark: 1320.2063, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 1303.3869, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1359.7293, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1316.6799, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 1373.7859, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 1346.0226, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8515, kappa: 0.6355, kb_relative_information_score: 55.7021, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8509, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7473, scimark_benchmark: 1321.8321, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 1274.7011, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 1350.2591, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 1064.8317, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.7418, kappa: 0.42, kb_relative_information_score: 31.0535, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7774, predictive_accuracy: 0.7304, prior_entropy: 0.8464, recall: 0.7304, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.503, root_relative_squared_error: 1.1115, scimark_benchmark: 1337.6765, usercpu_time_millis: 2520, usercpu_time_millis_testing: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, build_cpu_time: 0.912, build_memory: 1697483888, f_measure: 0.8528, kappa: 0.642, kb_relative_information_score: 69.8899, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8536, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8456, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 30.589, build_memory: 133906984, f_measure: 0.8551, kappa: 0.6544, kb_relative_information_score: 62.1671, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8614, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.679, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, build_cpu_time: 13.759, build_memory: 15104976, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 62.832, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.31, root_relative_squared_error: 0.685, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, build_cpu_time: 6.25, build_memory: 1428206608, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 64.9946, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6849, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 0.005, build_memory: 22657160, f_measure: 0.5936, kb_relative_information_score: 23.0599, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.799, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8576, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.002, build_memory: 733415312, f_measure: 0.5936, kb_relative_information_score: 19.8916, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8733, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.005, build_memory: 1808080928, f_measure: 0.5936, kb_relative_information_score: 19.8916, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8733, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 3.494, build_memory: 2911380584, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 62.5876, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.333, root_relative_squared_error: 0.7358, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 0.812, build_memory: 1529085656, f_measure: 0.8631, kappa: 0.6719, kb_relative_information_score: 73.6456, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8676, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.8027, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, build_cpu_time: 142.788, build_memory: 589599040, f_measure: 0.856, kappa: 0.6603, kb_relative_information_score: 68.7788, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8664, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.8502, scimark_benchmark: 942.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, build_cpu_time: 0.3, build_memory: 803934792, f_measure: 0.8595, kappa: 0.6537, kb_relative_information_score: 74.2753, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8588, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.803, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, build_cpu_time: 0.086, build_memory: 1575446360, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 54.2107, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6887, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.003, build_memory: 880578664, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 62.4907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9215, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, build_cpu_time: 0.14, build_memory: 627493544, f_measure: 0.8676, kappa: 0.6724, kb_relative_information_score: 74.8848, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8671, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7921, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.003, build_memory: 462808472, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 62.4907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9215, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, build_cpu_time: 0.101, build_memory: 3152892192, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 54.2107, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6887, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, build_cpu_time: 0.133, build_memory: 1545066072, f_measure: 0.8701, kappa: 0.6841, kb_relative_information_score: 54.2107, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8709, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6887, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.036, build_memory: 1377339224, f_measure: 0.8355, kappa: 0.5999, kb_relative_information_score: 72.323, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8364, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7316, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, build_cpu_time: 0.109, build_memory: 789279048, f_measure: 0.8528, kappa: 0.642, kb_relative_information_score: 73.2174, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8536, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7808, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.002, build_memory: 1289188456, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 62.4907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9215, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1329.8937, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8802, kappa: 0.7129, kb_relative_information_score: 65.0766, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8845, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6956, scimark_benchmark: 1360.6585, usercpu_time_millis: 1080, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.7693, kappa: 0.4268, kb_relative_information_score: 44.106, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7668, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7711, scimark_benchmark: 883.2709, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1330.2021, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.9078, kappa: 0.7664, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9225, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 1380.2233, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1354.3488, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1313.5052, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.838, kappa: 0.6138, kb_relative_information_score: 66.0567, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8446, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8051, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8039, kappa: 0.5324, kb_relative_information_score: 49.2835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8109, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8672, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, build_cpu_time: 0.06, build_memory: 3053731464, f_measure: 0.8609, kappa: 0.66, kb_relative_information_score: 55.9231, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8609, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.667, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, build_cpu_time: 0.07, build_memory: 422239840, f_measure: 0.842, kappa: 0.6105, kb_relative_information_score: 59.5444, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8411, predictive_accuracy: 0.8435, prior_entropy: 0.8464, recall: 0.8435, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.8036, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, build_cpu_time: 0.438, build_memory: 524254928, f_measure: 0.8448, kappa: 0.6243, kb_relative_information_score: 61.6763, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8467, predictive_accuracy: 0.8435, prior_entropy: 0.8464, recall: 0.8435, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.8149, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 0.127, build_memory: 128863680, f_measure: 0.869, kappa: 0.6784, kb_relative_information_score: 55.4182, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8685, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6659, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, build_cpu_time: 0.29, build_memory: 780119720, f_measure: 0.85, kappa: 0.6287, kb_relative_information_score: 59.395, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8492, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8051, scimark_benchmark: 916.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 0.515, build_memory: 1097811920, f_measure: 0.8205, kappa: 0.5506, kb_relative_information_score: 56.4129, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8203, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8219, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, build_cpu_time: 0.197, build_memory: 244278264, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 58.9469, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.8135, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, build_cpu_time: 0.037, build_memory: 1309480936, f_measure: 0.1979, kappa: 0.0286, kb_relative_information_score: -97.2564, mean_absolute_error: 0.6783, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7984, predictive_accuracy: 0.3217, prior_entropy: 0.8464, recall: 0.3217, relative_absolute_error: 1.681, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.8236, root_relative_squared_error: 1.8199, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, build_cpu_time: 0.653, build_memory: 705494032, f_measure: 0.8244, kappa: 0.5672, kb_relative_information_score: 45.8496, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8233, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.7293, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, build_cpu_time: 39.431, build_memory: 2066279376, f_measure: 0.854, kappa: 0.6483, kb_relative_information_score: 70.7573, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8571, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.8495, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 84.68, build_memory: 78994296, f_measure: 0.854, kappa: 0.6483, kb_relative_information_score: 70.7537, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8571, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8496, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, build_cpu_time: 39.999, build_memory: 9349376, f_measure: 0.8326, kappa: 0.6167, kb_relative_information_score: 64.189, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8572, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8457, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 0.049, build_memory: 1346094080, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 44.7272, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7533, scimark_benchmark: 933.4176,

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