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OpenML
OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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915 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8505, kappa: 0.6992, kb_relative_information_score: 138.1857, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8519, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.666, scimark_benchmark: 1363.454, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7259, kappa: 0.4547, kb_relative_information_score: 93.2527, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7334, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0494, scimark_benchmark: 916.5955, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.6627, kappa: 0.3672, kb_relative_information_score: 81.1754, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1032, scimark_benchmark: 938.343, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7834, kappa: 0.5645, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7835, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324, scimark_benchmark: 894.7222, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7691, kappa: 0.5358, kb_relative_information_score: 75.2924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.769, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8373, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 115.3944, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9427, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8648, kappa: 0.7281, kb_relative_information_score: 130.9809, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8669, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6097, scimark_benchmark: 1306.6379, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6159, kappa: 0.2773, kb_relative_information_score: 63.0594, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.711, predictive_accuracy: 0.6538, prior_entropy: 0.9968, recall: 0.6538, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1794, scimark_benchmark: 1028.5889, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 100.0833, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 1066.7184, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7695, kappa: 0.5382, kb_relative_information_score: 111.3687, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.771, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.963, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.686, kappa: 0.3685, kb_relative_information_score: 58.7591, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.978, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.686, kappa: 0.3685, kb_relative_information_score: 60.7266, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6871, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1, scimark_benchmark: 1355.7054, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.67, kappa: 0.355, kb_relative_information_score: 77.1496, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.714, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206, scimark_benchmark: 1325.2092, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2966, kb_relative_information_score: -15.443, mean_absolute_error: 0.5337, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2175, predictive_accuracy: 0.4663, prior_entropy: 0.9968, recall: 0.4663, relative_absolute_error: 1.0721, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7305, root_relative_squared_error: 1.4644, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 78.2802, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0907, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6266, kappa: 0.2543, kb_relative_information_score: 55.0079, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6363, predictive_accuracy: 0.6346, prior_entropy: 0.9968, recall: 0.6346, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.2117, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8315, kappa: 0.6613, kb_relative_information_score: 138.5249, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.76, scimark_benchmark: 938.2848, usercpu_time_millis: 13980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7212, kappa: 0.4398, kb_relative_information_score: 91.2398, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7212, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0585, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7975, kappa: 0.5927, kb_relative_information_score: 122.4047, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7983, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.853, scimark_benchmark: 942.6953, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 132.8973, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7985, scimark_benchmark: 945.6434, usercpu_time_millis: 620, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 130.3146, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8119, scimark_benchmark: 939.7623, usercpu_time_millis: 1130, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7979, kappa: 0.5938, kb_relative_information_score: 119.6956, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7979, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8624, scimark_benchmark: 945.6434, usercpu_time_millis: 660, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8024, kappa: 0.6027, kb_relative_information_score: 127.0365, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8029, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8389, scimark_benchmark: 942.1229, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.7876, kappa: 0.5728, kb_relative_information_score: 122.3565, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7891, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8517, scimark_benchmark: 938.4278, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.7826, kappa: 0.5628, kb_relative_information_score: 119.4467, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7845, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8475, scimark_benchmark: 922.9039, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7329, kappa: 0.4635, kb_relative_information_score: 96.3548, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.738, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4763, root_relative_squared_error: 0.9548, scimark_benchmark: 939.7623, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7128, kappa: 0.4237, kb_relative_information_score: 93.9859, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7192, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9662, scimark_benchmark: 933.8635, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 135.8276, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3457, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7648, scimark_benchmark: 934.5243, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 130.881, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7542, scimark_benchmark: 938.2848, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8016, kappa: 0.6011, kb_relative_information_score: 116.5327, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8049, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7785, scimark_benchmark: 910.8389, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 933.8635, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7259, kappa: 0.4491, kb_relative_information_score: 82.9745, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7258, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8654, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, build_cpu_time: 0.4816, build_memory: 978566702, f_measure: 0.6791, kappa: 0.3558, kb_relative_information_score: 76.1253, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6838, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1084, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, build_cpu_time: 0.2547, build_memory: 252371935.0769, f_measure: 0.7121, kappa: 0.423, kb_relative_information_score: 83.7124, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7203, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5289, root_relative_squared_error: 1.0603, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, build_cpu_time: 0.1031, build_memory: 1636840537.5, f_measure: 0.6798, kappa: 0.3566, kb_relative_information_score: 75.1498, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6831, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5318, root_relative_squared_error: 1.066, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, build_cpu_time: 0.0518, build_memory: 422500481.0769, f_measure: 0.6223, kappa: 0.2407, kb_relative_information_score: 58.2425, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6237, predictive_accuracy: 0.625, prior_entropy: 0.9968, recall: 0.625, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.0976, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, build_cpu_time: 0.0255, build_memory: 1467657689.8077, f_measure: 0.629, kappa: 0.2538, kb_relative_information_score: 49.7977, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6289, predictive_accuracy: 0.6298, prior_entropy: 0.9968, recall: 0.6298, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0773, scimark_benchmark: 908.8705,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, build_cpu_time: 0.2046, build_memory: 790068527, f_measure: 0.8217, kappa: 0.6414, kb_relative_information_score: 128.5801, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8223, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7855, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, build_cpu_time: 0.3712, build_memory: 734934809.4615, f_measure: 0.817, kappa: 0.632, kb_relative_information_score: 126.1509, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8173, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3969, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8195, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, build_cpu_time: 0.5982, build_memory: 422145887.8077, f_measure: 0.7932, kappa: 0.5844, kb_relative_information_score: 120.7476, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7932, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8525, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, build_cpu_time: 0.4861, build_memory: 989322908.4615, f_measure: 0.7932, kappa: 0.5844, kb_relative_information_score: 120.7476, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7932, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8525, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 14.605, build_memory: 95359141.6538, f_measure: 0.8506, kappa: 0.6996, kb_relative_information_score: 138.3013, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8513, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7345, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 28.3589, build_memory: 830602226.7692, f_measure: 0.8359, kappa: 0.6699, kb_relative_information_score: 140.7813, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8377, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7667, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 58.2686, build_memory: 802713330, f_measure: 0.8749, kappa: 0.7485, kb_relative_information_score: 154.3974, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.875, predictive_accuracy: 0.875, prior_entropy: 0.9968, recall: 0.875, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6891, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, build_cpu_time: 118.9646, build_memory: 12875961.5385, f_measure: 0.8894, kappa: 0.7777, kb_relative_information_score: 161.9818, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8894, predictive_accuracy: 0.8894, prior_entropy: 0.9968, recall: 0.8894, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6406, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 239.1148, build_memory: 30441597.6154, f_measure: 0.8794, kappa: 0.7574, kb_relative_information_score: 159.448, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.881, predictive_accuracy: 0.8798, prior_entropy: 0.9968, recall: 0.8798, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6719, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, build_cpu_time: 70.4196, build_memory: 1230518189.3846, f_measure: 0.7919, kappa: 0.5817, kb_relative_information_score: 123.1565, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7951, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8954, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 19.9479, build_memory: 96006211.1923, f_measure: 0.8019, kappa: 0.6016, kb_relative_information_score: 124.5675, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.804, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8913, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 9.4753, build_memory: 1166510850.4615, f_measure: 0.7879, kappa: 0.5733, kb_relative_information_score: 121.547, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7886, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8822, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 4.4885, build_memory: 416077114.4615, f_measure: 0.7926, kappa: 0.5828, kb_relative_information_score: 122.5281, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7937, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8588, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, build_cpu_time: 1.0595, build_memory: 78001255.9615, f_measure: 0.7679, kappa: 0.5333, kb_relative_information_score: 114.1667, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7703, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8853, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 1.8468, build_memory: 945338349.0385, f_measure: 0.8172, kappa: 0.6325, kb_relative_information_score: 132.321, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8172, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8336, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 3.7997, build_memory: 180525527.5, f_measure: 0.8505, kappa: 0.6992, kb_relative_information_score: 145.6944, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8519, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7557, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, build_cpu_time: 6.8982, build_memory: 736193460.4615, f_measure: 0.8697, kappa: 0.738, kb_relative_information_score: 153.6055, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8713, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7105, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 15.3279, build_memory: 154966795.2308, f_measure: 0.8743, kappa: 0.7472, kb_relative_information_score: 155.4603, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8777, predictive_accuracy: 0.875, prior_entropy: 0.9968, recall: 0.875, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7073, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.9711, build_memory: 1018441771, f_measure: 0.855, kappa: 0.7083, kb_relative_information_score: 147.2028, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8582, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7505, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 1.8693, build_memory: 691678089.1154, f_measure: 0.85, kappa: 0.6984, kb_relative_information_score: 145.5716, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8539, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7599, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, build_cpu_time: 0.9838, build_memory: 738836673.8462, f_measure: 0.8347, kappa: 0.6681, kb_relative_information_score: 138.4877, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8431, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7969, scimark_benchmark: 939.0159,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs