OpenML
Supervised Classification on fri_c2_100_50

Supervised Classification on fri_c2_100_50

Task 3785 Supervised Classification fri_c2_100_50 554 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.78, kappa: 0.5484, kb_relative_information_score: 53.916, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9822, recall: 0.78, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9347, scimark_benchmark: 933.8635, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8, kappa: 0.5895, kb_relative_information_score: 59.0149, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9822, recall: 0.8, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8682, scimark_benchmark: 924.6116, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8108, kappa: 0.6138, kb_relative_information_score: 57.8308, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.813, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8393, scimark_benchmark: 924.6116, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.8108, kappa: 0.6138, kb_relative_information_score: 56.1416, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.813, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.806, scimark_benchmark: 932.3943, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.8006, kappa: 0.5922, kb_relative_information_score: 52.947, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9822, recall: 0.8, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7927, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5131, kappa: 0.0231, kb_relative_information_score: -0.8296, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5244, predictive_accuracy: 0.51, prior_entropy: 0.9822, recall: 0.51, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3772, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8193, kappa: 0.6281, kb_relative_information_score: 59.0856, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8193, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7858, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7317, kappa: 0.4583, kb_relative_information_score: 27.5697, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7406, predictive_accuracy: 0.73, prior_entropy: 0.9822, recall: 0.73, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8608, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8595, kappa: 0.7107, kb_relative_information_score: 56.2715, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7163, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 59.6752, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8441, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8387, kappa: 0.6672, kb_relative_information_score: 30.6866, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8065, scimark_benchmark: 947.9494, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.76, kappa: 0.5074, kb_relative_information_score: 26.2759, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 0.9822, recall: 0.76, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8391, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, scimark_benchmark: 947.0793, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.6278, kappa: 0.233, kb_relative_information_score: 19.7035, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6268, predictive_accuracy: 0.63, prior_entropy: 0.9822, recall: 0.63, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0677, scimark_benchmark: 945.6434, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 74.9802, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7017, scimark_benchmark: 889.9795, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8996, kappa: 0.7934, kb_relative_information_score: 79.198, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9822, recall: 0.9, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6407, scimark_benchmark: 915.2795, usercpu_time_millis: 980, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8604, kappa: 0.7145, kb_relative_information_score: 68.4002, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8615, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7269, scimark_benchmark: 935.8834, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6519, kappa: 0.2932, kb_relative_information_score: 29.6024, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6571, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1023, scimark_benchmark: 948.1045, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 931.4202, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8705, kappa: 0.7358, kb_relative_information_score: 66.2767, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8726, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6699, scimark_benchmark: 915.2795, usercpu_time_millis: 120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, scimark_benchmark: 934.6252, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.5724, kappa: 0.1317, kb_relative_information_score: 10.7929, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5776, predictive_accuracy: 0.57, prior_entropy: 0.9822, recall: 0.57, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3286, scimark_benchmark: 940.3346, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 0.5212, build_memory: 1077137786.4, f_measure: 0.6024, kappa: 0.1948, kb_relative_information_score: 16.9299, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6091, predictive_accuracy: 0.6, prior_entropy: 0.9822, recall: 0.6, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2711, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, build_cpu_time: 0.2722, build_memory: 338487429.6, f_measure: 0.6019, kappa: 0.1896, kb_relative_information_score: 16.612, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6058, predictive_accuracy: 0.6, prior_entropy: 0.9822, recall: 0.6, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6297, root_relative_squared_error: 1.2759, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, build_cpu_time: 0.1331, build_memory: 1256668348, f_measure: 0.6122, kappa: 0.2124, kb_relative_information_score: 19.1646, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6174, predictive_accuracy: 0.61, prior_entropy: 0.9822, recall: 0.61, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6145, root_relative_squared_error: 1.245, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, build_cpu_time: 0.0798, build_memory: 675503351.2, f_measure: 0.6019, kappa: 0.1896, kb_relative_information_score: 19.2736, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6058, predictive_accuracy: 0.6, prior_entropy: 0.9822, recall: 0.6, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2333, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 0.0247, build_memory: 1146002184, f_measure: 0.8484, kappa: 0.687, kb_relative_information_score: 67.0262, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8512, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7263, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, build_cpu_time: 0.0466, build_memory: 428898504, f_measure: 0.8491, kappa: 0.6891, kb_relative_information_score: 65.6465, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7436, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 0.0702, build_memory: 168757596, f_measure: 0.8281, kappa: 0.6452, kb_relative_information_score: 61.8741, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8048, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 0.0584, build_memory: 67069092.8, f_measure: 0.8281, kappa: 0.6452, kb_relative_information_score: 61.8741, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8048, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 0.0665, build_memory: 1262331395.2, f_measure: 0.8281, kappa: 0.6452, kb_relative_information_score: 61.8741, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8306, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8048, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, build_cpu_time: 0.0053, build_memory: 220649152, f_measure: 0.7709, kappa: 0.5325, kb_relative_information_score: 52.2507, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7732, predictive_accuracy: 0.77, prior_entropy: 0.9822, recall: 0.77, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9717, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, build_cpu_time: 0.0032, build_memory: 136122560.8, f_measure: 0.7709, kappa: 0.5325, kb_relative_information_score: 52.2507, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7732, predictive_accuracy: 0.77, prior_entropy: 0.9822, recall: 0.77, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9717, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, build_cpu_time: 0.0025, build_memory: 1224651850.4, f_measure: 0.7709, kappa: 0.5325, kb_relative_information_score: 52.2507, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7732, predictive_accuracy: 0.77, prior_entropy: 0.9822, recall: 0.77, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9717, scimark_benchmark: 934.6076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, build_cpu_time: 0.2824, build_memory: 56416482.4, f_measure: 0.8006, kappa: 0.5922, kb_relative_information_score: 58.9593, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8018, predictive_accuracy: 0.8, prior_entropy: 0.9822, recall: 0.8, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8795, scimark_benchmark: 934.8107,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, build_cpu_time: 0.5932, build_memory: 1012348062.4, f_measure: 0.8595, kappa: 0.7107, kb_relative_information_score: 71.0839, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7368, scimark_benchmark: 940.9619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, build_cpu_time: 0.321, build_memory: 498582350.4, f_measure: 0.6519, kappa: 0.2932, kb_relative_information_score: 29.6024, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6571, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1023, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.029, build_memory: 1601544738.4, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, build_cpu_time: 0.0262, build_memory: 2072705220.8, f_measure: 0.8705, kappa: 0.7358, kb_relative_information_score: 66.2767, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8726, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6699, scimark_benchmark: 944.3832,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, build_cpu_time: 0.0002, build_memory: 552086579.2, f_measure: 0.6168, kappa: 0.2097, kb_relative_information_score: 20.7721, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6157, predictive_accuracy: 0.62, prior_entropy: 0.9822, recall: 0.62, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.2355, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0099, build_memory: 131939608, f_measure: 0.4258, kb_relative_information_score: 12.8658, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, build_cpu_time: 0.0077, build_memory: 415110041.6, f_measure: 0.6505, kappa: 0.284, kb_relative_information_score: 27.376, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6512, predictive_accuracy: 0.65, prior_entropy: 0.9822, recall: 0.65, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1987, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, build_cpu_time: 0.016, build_memory: 1133822892.8, f_measure: 0.5724, kappa: 0.1317, kb_relative_information_score: 10.7929, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5776, predictive_accuracy: 0.57, prior_entropy: 0.9822, recall: 0.57, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3286, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, build_cpu_time: 0.014, build_memory: 37770040.8, f_measure: 0.5214, kappa: 0.0212, kb_relative_information_score: 0.5264, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.5231, predictive_accuracy: 0.52, prior_entropy: 0.9822, recall: 0.52, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.4016, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.0012, build_memory: 1244864142.4, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.4986, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8857, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, build_cpu_time: 0.0011, build_memory: 568346376, f_measure: 0.7504, kappa: 0.4885, kb_relative_information_score: 44.4986, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 0.9822, recall: 0.75, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8857, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, build_cpu_time: 0.0247, build_memory: 923909422.4, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 59.3648, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6495, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, build_memory: 387358100, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4672, build_cpu_time: 0.0004, build_memory: 816876968, f_measure: 0.4258, kb_relative_information_score: -0.1303, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.3364, predictive_accuracy: 0.58, prior_entropy: 0.9822, recall: 0.58, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, build_cpu_time: 0.1883, build_memory: 349541800, f_measure: 0.6809, kappa: 0.3475, kb_relative_information_score: 29.1118, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6824, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9681, scimark_benchmark: 939.7809,

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