Task
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 30 Supervised Classification page-blocks 1403 runs submitted
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  • at2 basic study_1 study_107 study_41 study_50 study_7 study_70 under100k under1m
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1403 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, build_cpu_time: 22.2025, build_memory: 388698757.5852, f_measure: 0.9203, kappa: 0.5439, kb_relative_information_score: -16887.8415, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9304, predictive_accuracy: 0.9351, prior_entropy: 0.6391, recall: 0.9351, relative_absolute_error: 3.1998, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.6453, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, build_cpu_time: 3.5593, build_memory: 59303272.1316, f_measure: 0.9738, kappa: 0.8618, kb_relative_information_score: 4268.6016, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9736, predictive_accuracy: 0.9744, prior_entropy: 0.6391, recall: 0.9744, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4629, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, build_cpu_time: 1.452, build_memory: 1919590048.307, f_measure: 0.9723, kappa: 0.8549, kb_relative_information_score: 4257.3846, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9721, predictive_accuracy: 0.9731, prior_entropy: 0.6391, recall: 0.9731, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.4661, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.7538, build_memory: 1386869276.4597, f_measure: 0.9716, kappa: 0.8513, kb_relative_information_score: 4235.5974, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9714, predictive_accuracy: 0.9726, prior_entropy: 0.6391, recall: 0.9726, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.4718, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 1.1233, build_memory: 1351604860.2171, f_measure: 0.975, kappa: 0.8679, kb_relative_information_score: 4348.2975, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9749, predictive_accuracy: 0.9755, prior_entropy: 0.6391, recall: 0.9755, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4553, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 1.1729, build_memory: 760746431.3525, f_measure: 0.975, kappa: 0.8679, kb_relative_information_score: 4348.2975, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9749, predictive_accuracy: 0.9755, prior_entropy: 0.6391, recall: 0.9755, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4553, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 1.1526, build_memory: 107272175.6594, f_measure: 0.975, kappa: 0.8679, kb_relative_information_score: 4348.2975, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9749, predictive_accuracy: 0.9755, prior_entropy: 0.6391, recall: 0.9755, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4553, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 4.1232, build_memory: 2629159573.996, f_measure: 0.9746, kappa: 0.8661, kb_relative_information_score: 4351.1868, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.6391, recall: 0.9752, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.454, scimark_benchmark: 917.2088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 4.0513, build_memory: 1301700705.4033, f_measure: 0.9746, kappa: 0.8661, kb_relative_information_score: 4351.1868, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.6391, recall: 0.9752, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.454, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 270.6368, build_memory: 2199106944.2485, f_measure: 0.9757, kappa: 0.8718, kb_relative_information_score: 4311.2344, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9756, predictive_accuracy: 0.9762, prior_entropy: 0.6391, recall: 0.9762, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.4522, scimark_benchmark: 929.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 71.1585, build_memory: 1136003345.0554, f_measure: 0.9755, kappa: 0.8709, kb_relative_information_score: 4314.6574, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9754, predictive_accuracy: 0.9761, prior_entropy: 0.6391, recall: 0.9761, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.4529, scimark_benchmark: 871.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, build_cpu_time: 40.72, build_memory: 406954755.4438, f_measure: 0.9758, kappa: 0.8723, kb_relative_information_score: 4312.2369, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9757, predictive_accuracy: 0.9762, prior_entropy: 0.6391, recall: 0.9762, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.4539, scimark_benchmark: 943.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 28.1616, build_memory: 751524785.8403, f_measure: 0.9748, kappa: 0.8675, kb_relative_information_score: 4311.5418, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9747, predictive_accuracy: 0.9753, prior_entropy: 0.6391, recall: 0.9753, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.4537, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 0.121, build_memory: 845903896.8785, f_measure: 0.9264, kappa: 0.6258, kb_relative_information_score: 3018.2401, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9194, predictive_accuracy: 0.9362, prior_entropy: 0.6391, recall: 0.9362, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.7706, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, build_cpu_time: 0.2154, build_memory: 641901941.6612, f_measure: 0.9281, kappa: 0.635, kb_relative_information_score: 3116.242, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9219, predictive_accuracy: 0.9377, prior_entropy: 0.6391, recall: 0.9377, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7614, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.4239, build_memory: 534806508.8061, f_measure: 0.929, kappa: 0.6402, kb_relative_information_score: 3123.2309, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9205, predictive_accuracy: 0.939, prior_entropy: 0.6391, recall: 0.939, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.7602, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.6707, build_memory: 791822000.2032, f_measure: 0.929, kappa: 0.6402, kb_relative_information_score: 3123.2309, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9205, predictive_accuracy: 0.939, prior_entropy: 0.6391, recall: 0.939, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.7602, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, build_cpu_time: 0.3946, build_memory: 403621473.9485, f_measure: 0.929, kappa: 0.6402, kb_relative_information_score: 3123.2309, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9205, predictive_accuracy: 0.939, prior_entropy: 0.6391, recall: 0.939, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.7602, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 2.6153, build_memory: 590795147.0974, f_measure: 0.9755, kappa: 0.8715, kb_relative_information_score: 4285.5387, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9755, predictive_accuracy: 0.9762, prior_entropy: 0.6391, recall: 0.9762, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.4561, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 1.626, build_memory: 375892983.3963, f_measure: 0.9167, kappa: 0.5667, kb_relative_information_score: 1479.0277, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.938, predictive_accuracy: 0.9046, prior_entropy: 0.6391, recall: 0.9046, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8871, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 1.6337, build_memory: 865336244.0007, f_measure: 0.9167, kappa: 0.5667, kb_relative_information_score: 1479.0277, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.938, predictive_accuracy: 0.9046, prior_entropy: 0.6391, recall: 0.9046, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8871, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, build_cpu_time: 1.6167, build_memory: 788589757.7884, f_measure: 0.9167, kappa: 0.5667, kb_relative_information_score: 1479.0277, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.938, predictive_accuracy: 0.9046, prior_entropy: 0.6391, recall: 0.9046, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.8871, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, build_cpu_time: 1031.4952, build_memory: 581119534.6888, f_measure: 0.9655, kappa: 0.8149, kb_relative_information_score: 3980.3478, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9659, predictive_accuracy: 0.9675, prior_entropy: 0.6391, recall: 0.9675, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.5201, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.974, kappa: 0.8621, kb_relative_information_score: 0.7913, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9738, predictive_accuracy: 0.9746, prior_entropy: 0.6355, recall: 0.9746, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.1948, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, build_cpu_time: 2300.2312, build_memory: 740114685.8498, f_measure: 0.9657, kappa: 0.8169, kb_relative_information_score: 3984.0345, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9661, predictive_accuracy: 0.9677, prior_entropy: 0.6391, recall: 0.9677, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.5187, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, build_cpu_time: 0.1414, build_memory: 1912306367.3408, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2000.0771, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7973, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, build_cpu_time: 0.0669, build_memory: 918641579.0024, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 1999.0291, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7975, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, build_cpu_time: 0.037, build_memory: 488694996.8895, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2002.1358, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.7972, scimark_benchmark: 942.3073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 0.0241, build_memory: 328899004.9318, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2004.1994, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5933, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7974, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, build_cpu_time: 0.0109, build_memory: 1227511758.3643, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2001.8431, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.7977, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 242.8274, build_memory: 1935019967.924, f_measure: 0.9732, kappa: 0.8598, kb_relative_information_score: 4257.654, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.4724, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, build_cpu_time: 599.0044, build_memory: 138852688.8902, f_measure: 0.9743, kappa: 0.8652, kb_relative_information_score: 4290.822, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9741, predictive_accuracy: 0.9746, prior_entropy: 0.6391, recall: 0.9746, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.4636, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 873.6736, build_memory: 148206984.3815, f_measure: 0.974, kappa: 0.8638, kb_relative_information_score: 4295.6651, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9739, predictive_accuracy: 0.9742, prior_entropy: 0.6391, recall: 0.9742, relative_absolute_error: 0.2087, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.4601, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.974, kappa: 0.8621, kb_relative_information_score: 0.7913, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9738, predictive_accuracy: 0.9746, prior_entropy: 0.6355, recall: 0.9746, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.1948, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 1686.8163, build_memory: 969472894.0588, f_measure: 0.9747, kappa: 0.8672, kb_relative_information_score: 4305.9267, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9745, predictive_accuracy: 0.975, prior_entropy: 0.6391, recall: 0.975, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.456, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, build_cpu_time: 3698.3544, build_memory: 863284248.5818, f_measure: 0.9751, kappa: 0.8696, kb_relative_information_score: 4305.5058, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.6391, recall: 0.9753, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.4549, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 60.215, build_memory: 96999926.3731, f_measure: 0.9745, kappa: 0.8658, kb_relative_information_score: 4344.7346, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.6391, recall: 0.9752, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.089, root_relative_squared_error: 0.4565, scimark_benchmark: 903.3016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, build_cpu_time: 105.3951, build_memory: 503415382.7415, f_measure: 0.9743, kappa: 0.8643, kb_relative_information_score: 4346.8081, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9742, predictive_accuracy: 0.975, prior_entropy: 0.6391, recall: 0.975, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4555, scimark_benchmark: 938.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, build_cpu_time: 16.3892, build_memory: 1180817034.9775, f_measure: 0.9739, kappa: 0.8626, kb_relative_information_score: 4353.629, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9736, predictive_accuracy: 0.9744, prior_entropy: 0.6391, recall: 0.9744, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.4584, scimark_benchmark: 943.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 7.8164, build_memory: 580585412.2741, f_measure: 0.973, kappa: 0.8582, kb_relative_information_score: 4358.9727, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4593, scimark_benchmark: 932.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 7.8737, build_memory: 933551795.6806, f_measure: 0.973, kappa: 0.8582, kb_relative_information_score: 4358.9727, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4593, scimark_benchmark: 945.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 7.9804, build_memory: 336976759.6331, f_measure: 0.973, kappa: 0.8582, kb_relative_information_score: 4358.9727, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4593, scimark_benchmark: 896.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 7.6908, build_memory: 490812964.8763, f_measure: 0.973, kappa: 0.8582, kb_relative_information_score: 4358.9727, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4593, scimark_benchmark: 942.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 4.6597, build_memory: 1347823914.1137, f_measure: 0.9729, kappa: 0.8579, kb_relative_information_score: 4347.0069, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9727, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.463, scimark_benchmark: 934.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 1.9633, build_memory: 75768880.7352, f_measure: 0.9726, kappa: 0.856, kb_relative_information_score: 4346.7507, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9724, predictive_accuracy: 0.9731, prior_entropy: 0.6391, recall: 0.9731, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.4659, scimark_benchmark: 937.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 0.1308, build_memory: 154872666.1677, f_measure: 0.9696, kappa: 0.8412, kb_relative_information_score: 4232.2815, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9694, predictive_accuracy: 0.97, prior_entropy: 0.6391, recall: 0.97, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.533, scimark_benchmark: 943.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, build_cpu_time: 0.1579, build_memory: 148927437.48, f_measure: 0.9696, kappa: 0.8412, kb_relative_information_score: 4232.2815, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9694, predictive_accuracy: 0.97, prior_entropy: 0.6391, recall: 0.97, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.533, scimark_benchmark: 943.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9436, kappa: 0.6968, kb_relative_information_score: 3479.1712, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9461, predictive_accuracy: 0.9435, prior_entropy: 0.6391, recall: 0.9435, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.7131, scimark_benchmark: 939.2489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9729, kappa: 0.857, kb_relative_information_score: 4460.2629, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.509, scimark_benchmark: 899.0611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9577, kappa: 0.7793, kb_relative_information_score: 3490.1495, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.955, predictive_accuracy: 0.9616, prior_entropy: 0.6391, recall: 0.9616, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.5713, scimark_benchmark: 899.4021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9691, kappa: 0.8358, kb_relative_information_score: 4287.1002, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9687, predictive_accuracy: 0.9702, prior_entropy: 0.6391, recall: 0.9702, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.5087, scimark_benchmark: 895.1642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9589, kappa: 0.7808, kb_relative_information_score: 3011.8151, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9582, predictive_accuracy: 0.9605, prior_entropy: 0.6391, recall: 0.9605, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.6235, scimark_benchmark: 897.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9678, kappa: 0.8286, kb_relative_information_score: 4230.3734, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9674, predictive_accuracy: 0.9684, prior_entropy: 0.6391, recall: 0.9684, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.5258, scimark_benchmark: 594.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9581, kappa: 0.7784, kb_relative_information_score: 3704.1647, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9571, predictive_accuracy: 0.9596, prior_entropy: 0.6391, recall: 0.9596, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1112, root_relative_squared_error: 0.5708, scimark_benchmark: 948.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9396, kappa: 0.6805, kb_relative_information_score: 3406.7968, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9394, predictive_accuracy: 0.9474, prior_entropy: 0.6391, recall: 0.9474, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.6997, scimark_benchmark: 595.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.9198, kappa: 0.5391, kb_relative_information_score: -16887.222, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9307, predictive_accuracy: 0.935, prior_entropy: 0.6391, recall: 0.935, relative_absolute_error: 3.1998, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.6456, scimark_benchmark: 893.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9608, kappa: 0.7884, kb_relative_information_score: 3822.8845, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9606, predictive_accuracy: 0.9625, prior_entropy: 0.6391, recall: 0.9625, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.5514, scimark_benchmark: 595.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9716, kappa: 0.8502, kb_relative_information_score: 4396.0217, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9713, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.5327, scimark_benchmark: 888.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.9586, kappa: 0.7779, kb_relative_information_score: 3849.6022, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9581, predictive_accuracy: 0.9598, prior_entropy: 0.6391, recall: 0.9598, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.6491, scimark_benchmark: 896.1507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.971, kappa: 0.8467, kb_relative_information_score: 4427.7286, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9708, predictive_accuracy: 0.9715, prior_entropy: 0.6391, recall: 0.9715, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.502, scimark_benchmark: 948.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9728, kappa: 0.8566, kb_relative_information_score: 4408.3513, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9726, predictive_accuracy: 0.9733, prior_entropy: 0.6391, recall: 0.9733, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.5267, scimark_benchmark: 887.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9729, kappa: 0.857, kb_relative_information_score: 4420.3952, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9737, prior_entropy: 0.6391, recall: 0.9737, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.5151, scimark_benchmark: 945.2414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9713, kappa: 0.8486, kb_relative_information_score: 4377.1708, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.971, predictive_accuracy: 0.9719, prior_entropy: 0.6391, recall: 0.9719, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.5278,
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: 0.979, f_measure: 0.9554, kappa: 0.771, kb_relative_information_score: 3423.2861, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9586, predictive_accuracy: 0.9534, prior_entropy: 0.6391, recall: 0.9534, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.6357, scimark_benchmark: 936.1664,
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: 0.9846, f_measure: 0.971, kappa: 0.8467, kb_relative_information_score: 4427.7286, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9708, predictive_accuracy: 0.9715, prior_entropy: 0.6391, recall: 0.9715, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.502, scimark_benchmark: 922.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9589, kappa: 0.7808, kb_relative_information_score: 3011.8151, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9582, predictive_accuracy: 0.9605, prior_entropy: 0.6391, recall: 0.9605, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.6235, scimark_benchmark: 947.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9652, kappa: 0.8181, kb_relative_information_score: 3958.5919, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.965, predictive_accuracy: 0.9662, prior_entropy: 0.6391, recall: 0.9662, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.561, scimark_benchmark: 947.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9709, kappa: 0.8472, kb_relative_information_score: 4330.52, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9709, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.4697, scimark_benchmark: 939.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9185, kappa: 0.5924, kb_relative_information_score: 2781.7498, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9377, predictive_accuracy: 0.9342, prior_entropy: 0.6391, recall: 0.9342, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.7075, scimark_benchmark: 906.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9744, kappa: 0.865, kb_relative_information_score: 4466.8985, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9742, predictive_accuracy: 0.9746, prior_entropy: 0.6391, recall: 0.9746, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.5116, scimark_benchmark: 945.6796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9388, kappa: 0.675, kb_relative_information_score: 3314.8373, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9404, predictive_accuracy: 0.9477, prior_entropy: 0.6391, recall: 0.9477, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.7278, scimark_benchmark: 937.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9656, kappa: 0.8187, kb_relative_information_score: 3926.4889, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9655, predictive_accuracy: 0.9675, prior_entropy: 0.6391, recall: 0.9675, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.5012, scimark_benchmark: 924.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9739, kappa: 0.8626, kb_relative_information_score: 4353.629, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9736, predictive_accuracy: 0.9744, prior_entropy: 0.6391, recall: 0.9744, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.4584, scimark_benchmark: 913.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.9076, kappa: 0.4531, kb_relative_information_score: 2312.1008, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9257, predictive_accuracy: 0.928, prior_entropy: 0.6391, recall: 0.928, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9417, kappa: 0.7106, kb_relative_information_score: 3249.3404, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9537, predictive_accuracy: 0.9348, prior_entropy: 0.6391, recall: 0.9348, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.148, root_relative_squared_error: 0.7597, scimark_benchmark: 940.8046,
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 - 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: 0.8763, f_measure: 0.9588, kappa: 0.7787, kb_relative_information_score: 3849.3603, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9583, predictive_accuracy: 0.96, prior_entropy: 0.6391, recall: 0.96, relative_absolute_error: 0.2109, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.6489, scimark_benchmark: 913.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9526, kappa: 0.7494, kb_relative_information_score: 3602.2207, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9516, predictive_accuracy: 0.9543, prior_entropy: 0.6391, recall: 0.9543, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.5984, scimark_benchmark: 917.0352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9589, kappa: 0.7808, kb_relative_information_score: 3011.8151, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9582, predictive_accuracy: 0.9605, prior_entropy: 0.6391, recall: 0.9605, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.6235, scimark_benchmark: 909.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9505, kappa: 0.7332, kb_relative_information_score: 3354.153, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9507, predictive_accuracy: 0.9518, prior_entropy: 0.6391, recall: 0.9518, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.649, scimark_benchmark: 934.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.9118, kappa: 0.5956, kb_relative_information_score: 1993.3985, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8977, predictive_accuracy: 0.9291, prior_entropy: 0.6391, recall: 0.9291, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.7906, scimark_benchmark: 935.1826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9717, kappa: 0.8516, kb_relative_information_score: 4335.0059, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9717, predictive_accuracy: 0.9728, prior_entropy: 0.6391, recall: 0.9728, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.4687, scimark_benchmark: 928.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9716, kappa: 0.8502, kb_relative_information_score: 4392.8205, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9713, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.5271, scimark_benchmark: 943.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9704, kappa: 0.8431, kb_relative_information_score: 4341.9037, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9702, predictive_accuracy: 0.9706, prior_entropy: 0.6391, recall: 0.9706, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9637, kappa: 0.8081, kb_relative_information_score: 4063.1766, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9639, predictive_accuracy: 0.9635, prior_entropy: 0.6391, recall: 0.9635, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.62, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9718, kappa: 0.8516, kb_relative_information_score: 4400.3254, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9717, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.5213, scimark_benchmark: 944.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9198, kappa: 0.5844, kb_relative_information_score: 1783.9213, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9373, predictive_accuracy: 0.9101, prior_entropy: 0.6391, recall: 0.9101, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.8689, scimark_benchmark: 941.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.9264, kappa: 0.6258, kb_relative_information_score: 3018.2401, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9194, predictive_accuracy: 0.9362, prior_entropy: 0.6391, recall: 0.9362, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.971, kappa: 0.8463, kb_relative_information_score: 4387.5989, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9707, predictive_accuracy: 0.9715, prior_entropy: 0.6391, recall: 0.9715, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.5119, scimark_benchmark: 947.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: 2148.7216, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.7246, scimark_benchmark: 939.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9653, kappa: 0.8179, kb_relative_information_score: 3974.8397, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9654, predictive_accuracy: 0.9669, prior_entropy: 0.6391, recall: 0.9669, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.5666, scimark_benchmark: 937.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9728, kappa: 0.8562, kb_relative_information_score: 4420.9058, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9726, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.515, scimark_benchmark: 903.3495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9717, kappa: 0.8506, kb_relative_information_score: 4419.9215, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9716, predictive_accuracy: 0.9722, prior_entropy: 0.6391, recall: 0.9722, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9599, kappa: 0.7916, kb_relative_information_score: 3737.3614, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9575, predictive_accuracy: 0.9633, prior_entropy: 0.6391, recall: 0.9633, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5565, scimark_benchmark: 945.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: 2148.7216, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.7246, scimark_benchmark: 944.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.9166, kappa: 0.5653, kb_relative_information_score: -1018.1301, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.939, predictive_accuracy: 0.9041, prior_entropy: 0.6391, recall: 0.9041, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.9692, scimark_benchmark: 947.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9185, kappa: 0.5924, kb_relative_information_score: 2781.7498, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9377, predictive_accuracy: 0.9342, prior_entropy: 0.6391, recall: 0.9342, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.7075, scimark_benchmark: 893.6184,

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