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OpenML
Task
Supervised Classification on fri_c1_100_50

Supervised Classification on fri_c1_100_50

Task 3740 Supervised Classification fri_c1_100_50 571 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.5929, f_measure: 0.5587, kappa: 0.1028, kb_relative_information_score: 10.1119, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5579, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0475, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5409, kappa: 0.0887, kb_relative_information_score: 6.0952, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5527, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3663, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.4401, kappa: 0.0307, kb_relative_information_score: 12.2168, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6109, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.321, scimark_benchmark: 916.6405, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.5989, kappa: 0.1843, kb_relative_information_score: 18.3384, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5982, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741, scimark_benchmark: 1297.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.5895, kappa: 0.166, kb_relative_information_score: 11.761, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.589, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0129, scimark_benchmark: 887.6719, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.6082, kappa: 0.2028, kb_relative_information_score: 20.3789, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6075, predictive_accuracy: 0.61, prior_entropy: 0.99, recall: 0.61, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2581, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, f_measure: 0.5843, kappa: 0.1536, kb_relative_information_score: 10.7704, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5845, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0479, scimark_benchmark: 889.3151, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5391, kappa: 0.1095, kb_relative_information_score: 16.2978, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5894, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2899, scimark_benchmark: 1250.8301, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7708, kappa: 0.5389, kb_relative_information_score: 44.6778, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7755, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.92, scimark_benchmark: 1372.2145, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6543, kappa: 0.2964, kb_relative_information_score: 12.5068, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6574, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9201, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.6469, kappa: 0.281, kb_relative_information_score: 28.541, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6472, predictive_accuracy: 0.65, prior_entropy: 0.99, recall: 0.65, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1918, scimark_benchmark: 1307.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6654, kappa: 0.3187, kb_relative_information_score: 21.2696, mean_absolute_error: 0.397, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6676, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9744, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.7393, kappa: 0.4698, kb_relative_information_score: 35.1698, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7391, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.873, scimark_benchmark: 1290.1085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.4603, kappa: 0.0558, kb_relative_information_score: 14.2573, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6508, predictive_accuracy: 0.58, prior_entropy: 0.99, recall: 0.58, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3056, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2689, kb_relative_information_score: -14.3101, mean_absolute_error: 0.56, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.1936, predictive_accuracy: 0.44, prior_entropy: 0.99, recall: 0.44, relative_absolute_error: 1.136, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.7483, root_relative_squared_error: 1.5076, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7697, kappa: 0.5321, kb_relative_information_score: 52.8278, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.99, recall: 0.77, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9221, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.72, kappa: 0.4318, kb_relative_information_score: 42.8247, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.066, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.68, kappa: 0.3506, kb_relative_information_score: 34.6626, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.99, recall: 0.68, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.1396, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4513, f_measure: 0.4021, kb_relative_information_score: -0.1765, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0011, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7906, kappa: 0.577, kb_relative_information_score: 55.6267, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7926, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8979, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.4884, kappa: -0.0399, kb_relative_information_score: 1.5836, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.4866, predictive_accuracy: 0.5, prior_entropy: 0.99, recall: 0.5, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6796, root_relative_squared_error: 1.3691, scimark_benchmark: 931.2336, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5694, kappa: 0.1253, kb_relative_information_score: 10.8583, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.569, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6534, root_relative_squared_error: 1.3164, scimark_benchmark: 941.7954, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5497, f_measure: 0.5808, kappa: 0.1519, kb_relative_information_score: 12.7527, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5822, predictive_accuracy: 0.58, prior_entropy: 0.99, recall: 0.58, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6493, root_relative_squared_error: 1.308, scimark_benchmark: 923.7642, usercpu_time_millis: 570, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.5417, kappa: 0.08, kb_relative_information_score: 6.4907, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5472, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6729, root_relative_squared_error: 1.3556, scimark_benchmark: 894.7455, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7978, kappa: 0.5881, kb_relative_information_score: 56.5615, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8015, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8888, scimark_benchmark: 911.3823, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.756, kappa: 0.5033, kb_relative_information_score: 53.0051, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7622, predictive_accuracy: 0.76, prior_entropy: 0.99, recall: 0.76, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9059, scimark_benchmark: 943.2817, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.7433, kappa: 0.4787, kb_relative_information_score: 50.3435, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7562, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9195, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7124, kappa: 0.4255, kb_relative_information_score: 42.2644, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7579, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9555, scimark_benchmark: 922.9039, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6346, kappa: 0.2869, kb_relative_information_score: 33.6729, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7069, predictive_accuracy: 0.67, prior_entropy: 0.99, recall: 0.67, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0564, scimark_benchmark: 938.4278, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7882, kappa: 0.5686, kb_relative_information_score: 57.8086, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7904, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8683, scimark_benchmark: 933.8635, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7371, kappa: 0.4646, kb_relative_information_score: 50.6691, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7397, predictive_accuracy: 0.74, prior_entropy: 0.99, recall: 0.74, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8822, scimark_benchmark: 924.6116, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7466, kappa: 0.4839, kb_relative_information_score: 49.7555, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8661, scimark_benchmark: 924.6116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7858, kappa: 0.5643, kb_relative_information_score: 49.1445, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7953, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8002, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.1837, build_memory: 633215608, f_measure: 0.8195, kappa: 0.633, kb_relative_information_score: 63.2184, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8196, predictive_accuracy: 0.82, prior_entropy: 0.99, recall: 0.82, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8364, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.0973, build_memory: 1315074781.6, f_measure: 0.7967, kappa: 0.5861, kb_relative_information_score: 59.0975, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8042, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4044, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8611, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, build_cpu_time: 0.066, build_memory: 1325773439.2, f_measure: 0.8, kappa: 0.5942, kb_relative_information_score: 57.0264, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.99, recall: 0.8, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8769, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, build_cpu_time: 0.021, build_memory: 1650968710.4, f_measure: 0.7276, kappa: 0.4454, kb_relative_information_score: 43.6506, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.729, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9942, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, build_cpu_time: 0.0108, build_memory: 377431740, f_measure: 0.706, kappa: 0.4013, kb_relative_information_score: 32.3471, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7092, predictive_accuracy: 0.71, prior_entropy: 0.99, recall: 0.71, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0298, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, build_cpu_time: 0.0449, build_memory: 863884479.2, f_measure: 0.5105, kappa: 0.0081, kb_relative_information_score: 1.9911, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5112, predictive_accuracy: 0.51, prior_entropy: 0.99, recall: 0.51, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6623, root_relative_squared_error: 1.3343, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, build_cpu_time: 0.0894, build_memory: 1024655324, f_measure: 0.5313, kappa: 0.0532, kb_relative_information_score: 5.8115, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5335, predictive_accuracy: 0.53, prior_entropy: 0.99, recall: 0.53, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.658, root_relative_squared_error: 1.3256, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, build_cpu_time: 0.1688, build_memory: 1043040108, f_measure: 0.5217, kappa: 0.04, kb_relative_information_score: 3.5529, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5272, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.673, root_relative_squared_error: 1.3557, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, build_cpu_time: 0.334, build_memory: 697168290.4, f_measure: 0.5614, kappa: 0.1242, kb_relative_information_score: 9.4155, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.57, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6597, root_relative_squared_error: 1.3289, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, build_cpu_time: 0.5819, build_memory: 1569648254.4, f_measure: 0.5609, kappa: 0.1284, kb_relative_information_score: 9.5095, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.573, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6597, root_relative_squared_error: 1.3291, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, build_cpu_time: 3.1219, build_memory: 987567941.6, f_measure: 0.58, kappa: 0.1477, kb_relative_information_score: 16.1217, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.58, predictive_accuracy: 0.58, prior_entropy: 0.99, recall: 0.58, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2188, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, build_cpu_time: 5.6885, build_memory: 857380560.8, f_measure: 0.634, kappa: 0.255, kb_relative_information_score: 26.6411, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6364, predictive_accuracy: 0.64, prior_entropy: 0.99, recall: 0.64, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5799, root_relative_squared_error: 1.1681, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, build_cpu_time: 11.9861, build_memory: 23483504.8, f_measure: 0.6896, kappa: 0.3694, kb_relative_information_score: 35.5816, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6893, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6414, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5571, root_relative_squared_error: 1.1223, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, build_cpu_time: 46.5915, build_memory: 601823429.6, f_measure: 0.7451, kappa: 0.4813, kb_relative_information_score: 48.5582, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.753, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0075, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, build_cpu_time: 17.6807, build_memory: 1588321230.4, f_measure: 0.5864, kappa: 0.1578, kb_relative_information_score: 16.378, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5858, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6394, root_relative_squared_error: 1.288, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, build_cpu_time: 9.7837, build_memory: 954865654.4, f_measure: 0.568, kappa: 0.121, kb_relative_information_score: 12.0899, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5671, predictive_accuracy: 0.57, prior_entropy: 0.99, recall: 0.57, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6473, root_relative_squared_error: 1.3041, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, build_cpu_time: 4.3556, build_memory: 106002996.8, f_measure: 0.6, kappa: 0.1883, kb_relative_information_score: 20.1426, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.99, recall: 0.6, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6171, root_relative_squared_error: 1.2433, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, build_cpu_time: 2.196, build_memory: 82366032, f_measure: 0.56, kappa: 0.1071, kb_relative_information_score: 11.4937, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.56, predictive_accuracy: 0.56, prior_entropy: 0.99, recall: 0.56, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.2912, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, build_cpu_time: 1.2034, build_memory: 97898423.2, f_measure: 0.5895, kappa: 0.166, kb_relative_information_score: 16.5375, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.589, predictive_accuracy: 0.59, prior_entropy: 0.99, recall: 0.59, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2255, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.3832, build_memory: 653205444.8, f_measure: 0.6886, kappa: 0.3663, kb_relative_information_score: 36.0061, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6884, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0457, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, build_cpu_time: 0.8709, build_memory: 276981108.8, f_measure: 0.72, kappa: 0.4318, kb_relative_information_score: 39.051, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0237, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, build_cpu_time: 1.6613, build_memory: 740321724.8, f_measure: 0.7192, kappa: 0.429, kb_relative_information_score: 41.9122, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.719, predictive_accuracy: 0.72, prior_entropy: 0.99, recall: 0.72, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.0209, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.763, build_cpu_time: 2.974, build_memory: 953864128, f_measure: 0.7466, kappa: 0.4839, kb_relative_information_score: 47.0945, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7508, predictive_accuracy: 0.75, prior_entropy: 0.99, recall: 0.75, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0134, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, build_cpu_time: 5.9206, build_memory: 491042409.6, f_measure: 0.7247, kappa: 0.4398, kb_relative_information_score: 45.3642, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7318, predictive_accuracy: 0.73, prior_entropy: 0.99, recall: 0.73, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.035, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, build_cpu_time: 0.1879, build_memory: 358663201.6, f_measure: 0.7897, kappa: 0.5728, kb_relative_information_score: 53.9553, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7896, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8692, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, build_cpu_time: 0.2666, build_memory: 1122374968.8, f_measure: 0.7897, kappa: 0.5728, kb_relative_information_score: 53.9553, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.7896, predictive_accuracy: 0.79, prior_entropy: 0.99, recall: 0.79, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8692, scimark_benchmark: 902.712,

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