Task
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 102456 runs submitted
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  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
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102456 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, build_cpu_time: 6.8837, build_memory: 816909425.68, f_measure: 0.8413, kappa: 0.5629, kb_relative_information_score: 1964.5601, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8402, predictive_accuracy: 0.8466, prior_entropy: 0.8085, recall: 0.8466, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.33, root_relative_squared_error: 0.7641, scimark_benchmark: 926.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 17.3932, build_memory: 271632430.3814, f_measure: 0.8427, kappa: 0.5663, kb_relative_information_score: 1972.2987, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8418, predictive_accuracy: 0.8481, prior_entropy: 0.8085, recall: 0.8481, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.7592, scimark_benchmark: 938.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, build_cpu_time: 54.5287, build_memory: 1058798853.3608, f_measure: 0.8419, kappa: 0.563, kb_relative_information_score: 1968.1953, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8415, predictive_accuracy: 0.8481, prior_entropy: 0.8085, recall: 0.8481, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.7576, scimark_benchmark: 943.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 502.0991, build_memory: 542471365.2398, f_measure: 0.8374, kappa: 0.543, kb_relative_information_score: 1727.9935, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8433, predictive_accuracy: 0.8488, prior_entropy: 0.8085, recall: 0.8488, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7742, scimark_benchmark: 842.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, build_cpu_time: 215.5081, build_memory: 507405718.3323, f_measure: 0.8355, kappa: 0.5377, kb_relative_information_score: 1730.2178, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8412, predictive_accuracy: 0.847, prior_entropy: 0.8085, recall: 0.847, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7752, scimark_benchmark: 946.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 10.2519, build_memory: 452487347.5002, f_measure: 0.8398, kappa: 0.5576, kb_relative_information_score: 2429.5157, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.839, predictive_accuracy: 0.8457, prior_entropy: 0.8085, recall: 0.8457, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.8788, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, build_cpu_time: 20.4976, build_memory: 81500833.4222, f_measure: 0.8413, kappa: 0.5635, kb_relative_information_score: 2440.4082, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8402, predictive_accuracy: 0.8463, prior_entropy: 0.8085, recall: 0.8463, relative_absolute_error: 0.4182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8609, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, build_cpu_time: 42.9, build_memory: 734541873.3854, f_measure: 0.844, kappa: 0.5704, kb_relative_information_score: 2467.7974, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8431, predictive_accuracy: 0.8492, prior_entropy: 0.8085, recall: 0.8492, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.8645, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 137.5291, build_memory: 2883643594.32, f_measure: 0.844, kappa: 0.5695, kb_relative_information_score: 2473.8897, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8433, predictive_accuracy: 0.8496, prior_entropy: 0.8085, recall: 0.8496, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.8571, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 1918.2068, build_memory: 1214982717.9044, f_measure: 0.8379, kappa: 0.5547, kb_relative_information_score: 1883.863, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8364, predictive_accuracy: 0.8426, prior_entropy: 0.8085, recall: 0.8426, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7758, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, build_cpu_time: 971.5109, build_memory: 663229692.4875, f_measure: 0.8358, kappa: 0.549, kb_relative_information_score: 1889.0637, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8343, predictive_accuracy: 0.8406, prior_entropy: 0.8085, recall: 0.8406, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7769, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, build_cpu_time: 481.8262, build_memory: 284235805.7606, f_measure: 0.8356, kappa: 0.5496, kb_relative_information_score: 1878.7382, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8339, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7802, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, build_cpu_time: 232.1466, build_memory: 1019494781.0855, f_measure: 0.8331, kappa: 0.543, kb_relative_information_score: 1860.6702, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8314, predictive_accuracy: 0.8374, prior_entropy: 0.8085, recall: 0.8374, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.787, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 110.106, build_memory: 1882196470.5182, f_measure: 0.829, kappa: 0.5332, kb_relative_information_score: 1838.6511, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8271, predictive_accuracy: 0.8325, prior_entropy: 0.8085, recall: 0.8325, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7995, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 0.0106, build_memory: 1481073363.5511, f_measure: 0.6642, kappa: 0.0472, kb_relative_information_score: 597.899, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7645, predictive_accuracy: 0.7582, prior_entropy: 0.8085, recall: 0.7582, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8904, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, build_cpu_time: 0.0217, build_memory: 2614970277.1136, f_measure: 0.6642, kappa: 0.0483, kb_relative_information_score: 609.7828, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7999, predictive_accuracy: 0.7595, prior_entropy: 0.8085, recall: 0.7595, relative_absolute_error: 0.7982, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8885, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, build_cpu_time: 20.2769, build_memory: 2070380353.2784, f_measure: 0.8341, kappa: 0.5401, kb_relative_information_score: 2380.9488, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8338, predictive_accuracy: 0.8413, prior_entropy: 0.8085, recall: 0.8413, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.8944, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, build_cpu_time: 0.0396, build_memory: 1744231753.5818, f_measure: 0.6605, kappa: 0.0384, kb_relative_information_score: 590.741, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7826, predictive_accuracy: 0.7576, prior_entropy: 0.8085, recall: 0.7576, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.89, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, build_cpu_time: 0.0811, build_memory: 2661060191.2705, f_measure: 0.6615, kappa: 0.041, kb_relative_information_score: 591.7207, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7847, predictive_accuracy: 0.758, prior_entropy: 0.8085, recall: 0.758, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.8899, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, build_cpu_time: 0.1566, build_memory: 948430283.5142, f_measure: 0.659, kappa: 0.0345, kb_relative_information_score: 586.6479, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7791, predictive_accuracy: 0.7569, prior_entropy: 0.8085, recall: 0.7569, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.8906, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, build_cpu_time: 14808.9413, build_memory: 693494961.5537, f_measure: 0.8329, kappa: 0.5396, kb_relative_information_score: 1891.1104, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8316, predictive_accuracy: 0.8387, prior_entropy: 0.8085, recall: 0.8387, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7906, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, build_cpu_time: 4890.8446, build_memory: 216190688.1333, f_measure: 0.8338, kappa: 0.5414, kb_relative_information_score: 1896.2862, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8326, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7909, scimark_benchmark: 902.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 2.3808, build_memory: 95145256.3858, f_measure: 0.8349, kappa: 0.5465, kb_relative_information_score: 1882.6786, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8333, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7657, scimark_benchmark: 935.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 2.6175, build_memory: 91558500.2736, f_measure: 0.8349, kappa: 0.5465, kb_relative_information_score: 1882.6786, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8333, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7657, scimark_benchmark: 889.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 2.6474, build_memory: 133786337.7098, f_measure: 0.8349, kappa: 0.5465, kb_relative_information_score: 1882.6786, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8333, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7657, scimark_benchmark: 947.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 2.7437, build_memory: 61549472.2718, f_measure: 0.8349, kappa: 0.5465, kb_relative_information_score: 1882.6786, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8333, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.7657, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 4.3623, build_memory: 765985592.4261, f_measure: 0.8242, kappa: 0.5245, kb_relative_information_score: 2066.2228, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8229, predictive_accuracy: 0.826, prior_entropy: 0.8085, recall: 0.826, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.8573, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, build_cpu_time: 4.4049, build_memory: 888853128.6839, f_measure: 0.8242, kappa: 0.5245, kb_relative_information_score: 2066.2228, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8229, predictive_accuracy: 0.826, prior_entropy: 0.8085, recall: 0.826, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.8573, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 6.6929, build_memory: 192238484.2946, f_measure: 0.8361, kappa: 0.5461, kb_relative_information_score: 1874.4063, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8358, predictive_accuracy: 0.8431, prior_entropy: 0.8085, recall: 0.8431, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.7711, scimark_benchmark: 947.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, build_cpu_time: 3.6881, build_memory: 550854889.3871, f_measure: 0.7386, kappa: 0.2493, kb_relative_information_score: 1752.0946, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.7948, prior_entropy: 0.8085, recall: 0.7948, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4507, root_relative_squared_error: 1.0434, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, build_cpu_time: 3.6734, build_memory: 104097525.5011, f_measure: 0.7386, kappa: 0.2493, kb_relative_information_score: 1752.0946, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.7948, prior_entropy: 0.8085, recall: 0.7948, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4507, root_relative_squared_error: 1.0434, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, build_cpu_time: 1.8513, build_memory: 882315189.3433, f_measure: 0.7378, kappa: 0.2471, kb_relative_information_score: 1750.9323, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8226, predictive_accuracy: 0.7944, prior_entropy: 0.8085, recall: 0.7944, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.0437, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, build_cpu_time: 0.9061, build_memory: 517541556.5085, f_measure: 0.738, kappa: 0.2476, kb_relative_information_score: 1755.6819, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8236, predictive_accuracy: 0.7946, prior_entropy: 0.8085, recall: 0.7946, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4505, root_relative_squared_error: 1.0431, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, build_cpu_time: 0.486, build_memory: 384959796.6839, f_measure: 0.7389, kappa: 0.2503, kb_relative_information_score: 1756.6919, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8251, predictive_accuracy: 0.7953, prior_entropy: 0.8085, recall: 0.7953, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4505, root_relative_squared_error: 1.0429, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, build_cpu_time: 0.2346, build_memory: 1322717944.7979, f_measure: 0.7386, kappa: 0.2493, kb_relative_information_score: 1751.8234, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.7948, prior_entropy: 0.8085, recall: 0.7948, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.0438, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, build_cpu_time: 0.215, build_memory: 237931613.4117, f_measure: 0.7386, kappa: 0.2493, kb_relative_information_score: 1751.8234, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.7948, prior_entropy: 0.8085, recall: 0.7948, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.0438, scimark_benchmark: 902.1764,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 91.6915, build_memory: 2118652668.9189, f_measure: 0.8413, kappa: 0.5615, kb_relative_information_score: 1798.6993, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8408, predictive_accuracy: 0.8474, prior_entropy: 0.8085, recall: 0.8474, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.7587, scimark_benchmark: 916.8552,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 12.84, build_memory: 453749877.2784, f_measure: 0.8365, kappa: 0.5531, kb_relative_information_score: 1967.1244, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8348, predictive_accuracy: 0.8402, prior_entropy: 0.8085, recall: 0.8402, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.345, root_relative_squared_error: 0.7987, scimark_benchmark: 939.6298,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, build_cpu_time: 88.6454, build_memory: 181132665.5449, f_measure: 0.8386, kappa: 0.5574, kb_relative_information_score: 2048.7983, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.837, predictive_accuracy: 0.8428, prior_entropy: 0.8085, recall: 0.8428, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7804, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, build_cpu_time: 50.8226, build_memory: 321141986.4901, f_measure: 0.8355, kappa: 0.549, kb_relative_information_score: 2003.7903, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8339, predictive_accuracy: 0.84, prior_entropy: 0.8085, recall: 0.84, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7844, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, build_cpu_time: 25.1712, build_memory: 219052541.9062, f_measure: 0.8351, kappa: 0.5474, kb_relative_information_score: 1929.4405, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8335, predictive_accuracy: 0.8398, prior_entropy: 0.8085, recall: 0.8398, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7892, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, build_cpu_time: 201.2476, build_memory: 795397771.8036, f_measure: 0.8159, kappa: 0.5012, kb_relative_information_score: 2036.7333, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8143, predictive_accuracy: 0.8181, prior_entropy: 0.8085, recall: 0.8181, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.9439, scimark_benchmark: 938.1146,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, build_cpu_time: 801.7949, build_memory: 1531969578.2709, f_measure: 0.8248, kappa: 0.5212, kb_relative_information_score: 2212.0063, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8228, predictive_accuracy: 0.8288, prior_entropy: 0.8085, recall: 0.8288, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9494, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, build_cpu_time: 3335.373, build_memory: 1230261626.8531, f_measure: 0.8282, kappa: 0.5306, kb_relative_information_score: 2266.2635, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8263, predictive_accuracy: 0.8321, prior_entropy: 0.8085, recall: 0.8321, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.9458, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, build_cpu_time: 43978.3486, build_memory: 956908688.8277, f_measure: 0.8324, kappa: 0.5418, kb_relative_information_score: 2143.2737, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8306, predictive_accuracy: 0.8363, prior_entropy: 0.8085, recall: 0.8363, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8107, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, build_cpu_time: 22716.7872, build_memory: 482920406.9198, f_measure: 0.8371, kappa: 0.5521, kb_relative_information_score: 2124.9522, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8357, predictive_accuracy: 0.8422, prior_entropy: 0.8085, recall: 0.8422, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7793, scimark_benchmark: 940.3132,

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