OpenML
Supervised Classification on primary-tumor

Supervised Classification on primary-tumor

Task 2065 Supervised Classification primary-tumor 543 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, build_cpu_time: 39.5176, build_memory: 822713032.1888, f_measure: 0.3721, kappa: 0.2978, kb_relative_information_score: 74.5845, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3691, predictive_accuracy: 0.3776, prior_entropy: 3.7542, recall: 0.3776, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.9392, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, build_cpu_time: 50.2377, build_memory: 731728909.6401, f_measure: 0.3752, kappa: 0.3015, kb_relative_information_score: 76.2318, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3723, predictive_accuracy: 0.3805, prior_entropy: 3.7542, recall: 0.3805, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9389, scimark_benchmark: 940.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, build_cpu_time: 0.1418, build_memory: 309214924.5546, f_measure: 0.3247, kappa: 0.2877, kb_relative_information_score: 71.6715, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3335, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9401, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, build_cpu_time: 49.132, build_memory: 498431049.8879, f_measure: 0.3752, kappa: 0.3015, kb_relative_information_score: 76.2318, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3723, predictive_accuracy: 0.3805, prior_entropy: 3.7542, recall: 0.3805, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9389, scimark_benchmark: 888.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, build_cpu_time: 0.2534, build_memory: 81629459.4454, f_measure: 0.404, kappa: 0.3643, kb_relative_information_score: 115.5777, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3759, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.9044, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, build_cpu_time: 0.3916, build_memory: 681711941.7817, f_measure: 0.4164, kappa: 0.382, kb_relative_information_score: 115.9792, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3925, predictive_accuracy: 0.4631, prior_entropy: 3.7542, recall: 0.4631, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.8956, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.0161, build_memory: 90348333.6165, f_measure: 0.1477, kappa: 0.0803, kb_relative_information_score: 71.5597, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1677, predictive_accuracy: 0.2684, prior_entropy: 3.7542, recall: 0.2684, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2084, root_relative_squared_error: 1.0363, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, build_cpu_time: 0.0144, build_memory: 1225483198.3717, f_measure: 0.1477, kappa: 0.0803, kb_relative_information_score: 71.5597, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1677, predictive_accuracy: 0.2684, prior_entropy: 3.7542, recall: 0.2684, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2084, root_relative_squared_error: 1.0363, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, build_cpu_time: 0.0157, build_memory: 2485689265.8407, f_measure: 0.3566, kappa: 0.3194, kb_relative_information_score: 74.2533, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3377, predictive_accuracy: 0.4189, prior_entropy: 3.7542, recall: 0.4189, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.9363, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, build_cpu_time: 0.0218, build_memory: 1182108409.6519, f_measure: 0.355, kappa: 0.315, kb_relative_information_score: 73.9286, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3391, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.9364, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, build_cpu_time: 965.1383, build_memory: 86299699.1858, f_measure: 0.4185, kappa: 0.3677, kb_relative_information_score: 128.1358, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4049, predictive_accuracy: 0.4425, prior_entropy: 3.7542, recall: 0.4425, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.8868, scimark_benchmark: 926.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, build_cpu_time: 0.0028, build_memory: 1223553823.1504, f_measure: 0.3042, kappa: 0.2661, kb_relative_information_score: 72.768, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3424, predictive_accuracy: 0.3776, prior_entropy: 3.7542, recall: 0.3776, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.9371, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, build_cpu_time: 0.0086, build_memory: 311929366.3481, f_measure: 0.3486, kappa: 0.3076, kb_relative_information_score: 73.905, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3698, predictive_accuracy: 0.41, prior_entropy: 3.7542, recall: 0.41, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.9363, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, build_cpu_time: 38.7286, build_memory: 1820202619.4926, f_measure: 0.4124, kappa: 0.3512, kb_relative_information_score: 118.6591, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4076, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.9604, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, build_cpu_time: 0.0066, build_memory: 2144306423.5044, f_measure: 0.3555, kappa: 0.3179, kb_relative_information_score: 73.5513, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3801, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.9361, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 353.9854, build_memory: 664234279.1504, f_measure: 0.4183, kappa: 0.3709, kb_relative_information_score: 128.3707, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4013, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.886, scimark_benchmark: 943.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, build_cpu_time: 0.0417, build_memory: 867962412.8142, f_measure: 0.4625, kappa: 0.4331, kb_relative_information_score: 136.1052, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4531, predictive_accuracy: 0.5015, prior_entropy: 3.7542, recall: 0.5015, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.8637, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.4472, kappa: 0.4218, kb_relative_information_score: 135.1313, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4205, predictive_accuracy: 0.4897, prior_entropy: 3.7542, recall: 0.4897, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.3856, kappa: 0.3331, kb_relative_information_score: 115.572, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3752, predictive_accuracy: 0.41, prior_entropy: 3.7542, recall: 0.41, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.4139, kappa: 0.3844, kb_relative_information_score: 120.8251, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4081, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.3734, kappa: 0.3275, kb_relative_information_score: 112.3037, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3639, predictive_accuracy: 0.41, prior_entropy: 3.7542, recall: 0.41, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.426, kappa: 0.3989, kb_relative_information_score: 128.7522, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4059, predictive_accuracy: 0.4749, prior_entropy: 3.7542, recall: 0.4749, relative_absolute_error: 0.7286, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.4376, kappa: 0.4048, kb_relative_information_score: 25.9982, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4249, predictive_accuracy: 0.4808, prior_entropy: 3.7542, recall: 0.4808, relative_absolute_error: 1.0307, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.3922, kappa: 0.3556, kb_relative_information_score: 124.4665, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3599, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.4385, kappa: 0.3976, kb_relative_information_score: 20.9663, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4177, predictive_accuracy: 0.4749, prior_entropy: 3.7542, recall: 0.4749, relative_absolute_error: 1.0417, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2033, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.4112, kappa: 0.3728, kb_relative_information_score: 28.1618, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3851, predictive_accuracy: 0.4602, prior_entropy: 3.7542, recall: 0.4602, relative_absolute_error: 1.0292, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2023, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.4188, kappa: 0.3912, kb_relative_information_score: 120.8937, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3958, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.4097, kappa: 0.3703, kb_relative_information_score: 27.4524, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3879, predictive_accuracy: 0.4572, prior_entropy: 3.7542, recall: 0.4572, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.4219, kappa: 0.3934, kb_relative_information_score: 124.4317, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3966, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.18, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.4376, kappa: 0.4083, kb_relative_information_score: 126.697, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4161, predictive_accuracy: 0.4808, prior_entropy: 3.7542, recall: 0.4808, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.4264, kappa: 0.3943, kb_relative_information_score: 128.5922, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.178, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 137.2529, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.4503, kappa: 0.4277, kb_relative_information_score: 133.9743, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4219, predictive_accuracy: 0.4956, prior_entropy: 3.7542, recall: 0.4956, relative_absolute_error: 0.7094, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.8669,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.3161, kappa: 0.2889, kb_relative_information_score: 88.0831, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3467, predictive_accuracy: 0.4159, prior_entropy: 3.7542, recall: 0.4159, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.4154, kappa: 0.369, kb_relative_information_score: 116.6709, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3959, predictive_accuracy: 0.4425, prior_entropy: 3.7542, recall: 0.4425, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.9164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.4085, kappa: 0.3623, kb_relative_information_score: 115.1541, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.395, predictive_accuracy: 0.4395, prior_entropy: 3.7542, recall: 0.4395, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.9211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.3913, kappa: 0.3479, kb_relative_information_score: 111.7591, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3694, predictive_accuracy: 0.4307, prior_entropy: 3.7542, recall: 0.4307, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.4062, kappa: 0.3673, kb_relative_information_score: 27.4824, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3947, predictive_accuracy: 0.4543, prior_entropy: 3.7542, recall: 0.4543, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.4264, kappa: 0.3943, kb_relative_information_score: 128.5922, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.469, prior_entropy: 3.7542, recall: 0.469, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.178, root_relative_squared_error: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, build_cpu_time: 1.0638, build_memory: 472798725.2625, f_measure: 0.3546, kappa: 0.28, kb_relative_information_score: 15.2236, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3502, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0192, scimark_benchmark: 934.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, build_cpu_time: 0.0049, build_memory: 159805046.8909, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, build_cpu_time: 0.0034, build_memory: 1138519565.0266, f_measure: 0.1864, kappa: 0.152, kb_relative_information_score: 55.41, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.151, predictive_accuracy: 0.2891, prior_entropy: 3.7542, recall: 0.2891, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.9624, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, build_cpu_time: 0.2573, build_memory: 172851634.5015, f_measure: 0.387, kappa: 0.3221, kb_relative_information_score: 103.1822, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3929, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2209, root_relative_squared_error: 1.0988, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, build_cpu_time: 0.2398, build_memory: 116650109.7817, f_measure: 0.387, kappa: 0.3221, kb_relative_information_score: 103.1822, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3929, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2209, root_relative_squared_error: 1.0988, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0582, build_memory: 589364294.5605, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.038, build_memory: 977907450.8791, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0271, build_memory: 846112493.8525, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0425, build_memory: 1189639618.4779, f_measure: 0.2743, kappa: 0.2249, kb_relative_information_score: 67.2716, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2418, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9668, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0296, build_memory: 897644552.1416, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, build_cpu_time: 0.0449, build_memory: 828756775.1032, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, build_cpu_time: 0.0254, build_memory: 1331424228.885, f_measure: 0.2743, kappa: 0.2249, kb_relative_information_score: 67.2716, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.2418, predictive_accuracy: 0.3746, prior_entropy: 3.7542, recall: 0.3746, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.9668, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, build_cpu_time: 0.2579, build_memory: 1130503017.0384, f_measure: 0.387, kappa: 0.3221, kb_relative_information_score: 103.1822, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3929, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2209, root_relative_squared_error: 1.0988, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.4336, kappa: 0.3956, kb_relative_information_score: 126.4268, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4123, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.8825, scimark_benchmark: 909.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.4664, kappa: 0.4408, kb_relative_information_score: 70.7118, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4457, predictive_accuracy: 0.5074, prior_entropy: 3.7542, recall: 0.5074, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9549, scimark_benchmark: 934.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.0984, kb_relative_information_score: 8.1463, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2043, root_relative_squared_error: 1.0159, scimark_benchmark: 934.5204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.3546, kappa: 0.28, kb_relative_information_score: 15.2236, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3502, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0192, scimark_benchmark: 946.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.3349, kappa: 0.2862, kb_relative_information_score: 101.3919, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3075, predictive_accuracy: 0.3805, prior_entropy: 3.7542, recall: 0.3805, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9246, scimark_benchmark: 941.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.3884, kappa: 0.3483, kb_relative_information_score: 117.3925, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.36, predictive_accuracy: 0.4277, prior_entropy: 3.7542, recall: 0.4277, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.903, scimark_benchmark: 948.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.3299, kappa: 0.2545, kb_relative_information_score: 18.4306, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3679, predictive_accuracy: 0.3864, prior_entropy: 3.7542, recall: 0.3864, relative_absolute_error: 1.033, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2031, root_relative_squared_error: 1.0101, scimark_benchmark: 947.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.4044, kappa: 0.3733, kb_relative_information_score: 26.3004, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3691, predictive_accuracy: 0.4631, prior_entropy: 3.7542, recall: 0.4631, relative_absolute_error: 1.029, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2023, root_relative_squared_error: 1.0061, scimark_benchmark: 947.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.3361, kappa: 0.3005, kb_relative_information_score: 93.7416, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3102, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9489, scimark_benchmark: 946.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.371, kappa: 0.3065, kb_relative_information_score: 87.7307, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3651, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.9493, scimark_benchmark: 942.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.4187, kappa: 0.3671, kb_relative_information_score: 110.7755, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4052, predictive_accuracy: 0.4454, prior_entropy: 3.7542, recall: 0.4454, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.184, root_relative_squared_error: 0.9149, scimark_benchmark: 934.2128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.3247, kappa: 0.2877, kb_relative_information_score: 71.6715, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3335, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 905.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.1661, kappa: 0.0732, kb_relative_information_score: 53.097, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1436, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.3793, kappa: 0.338, kb_relative_information_score: 99.8524, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.361, predictive_accuracy: 0.4366, prior_entropy: 3.7542, recall: 0.4366, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.9089, scimark_benchmark: 936.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 945.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.1412, kappa: 0.07, kb_relative_information_score: 54.0317, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1063, predictive_accuracy: 0.2743, prior_entropy: 3.7542, recall: 0.2743, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.2773, scimark_benchmark: 904.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.0984, kb_relative_information_score: 7.9216, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.0614, predictive_accuracy: 0.2478, prior_entropy: 3.7542, recall: 0.2478, relative_absolute_error: 1.0389, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2043, root_relative_squared_error: 1.016, scimark_benchmark: 946.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.2951, kappa: 0.2074, kb_relative_information_score: 14.1328, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3572, predictive_accuracy: 0.3599, prior_entropy: 3.7542, recall: 0.3599, relative_absolute_error: 1.0353, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2036, root_relative_squared_error: 1.0125, scimark_benchmark: 941.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 113.4721, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.967, scimark_benchmark: 924.8762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.3361, kappa: 0.3005, kb_relative_information_score: 93.7416, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3102, predictive_accuracy: 0.3982, prior_entropy: 3.7542, recall: 0.3982, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9489, scimark_benchmark: 929.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.4236, kappa: 0.3592, kb_relative_information_score: 26.751, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4271, predictive_accuracy: 0.4307, prior_entropy: 3.7542, recall: 0.4307, relative_absolute_error: 1.0313, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2027, root_relative_squared_error: 1.0078, scimark_benchmark: 947.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.4216, kappa: 0.395, kb_relative_information_score: 119.7096, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3948, predictive_accuracy: 0.472, prior_entropy: 3.7542, recall: 0.472, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.8758, scimark_benchmark: 946.7423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.3873, kappa: 0.3403, kb_relative_information_score: 113.0508, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3661, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.9737, scimark_benchmark: 918.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.3546, kappa: 0.28, kb_relative_information_score: 15.2236, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3502, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0192, scimark_benchmark: 940.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.2409, kappa: 0.2268, kb_relative_information_score: 43.942, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.1828, predictive_accuracy: 0.3658, prior_entropy: 3.7542, recall: 0.3658, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.19, root_relative_squared_error: 0.9447, scimark_benchmark: 932.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.3801, kappa: 0.3118, kb_relative_information_score: 88.4638, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3752, predictive_accuracy: 0.3923, prior_entropy: 3.7542, recall: 0.3923, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.9637, scimark_benchmark: 941.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.3673, kappa: 0.3296, kb_relative_information_score: 109.9019, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3421, predictive_accuracy: 0.4248, prior_entropy: 3.7542, recall: 0.4248, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.8994, scimark_benchmark: 940.2778,

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