Task
Supervised Classification on analcatdata_apnea1

Supervised Classification on analcatdata_apnea1

Task 3633 Supervised Classification analcatdata_apnea1 528 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
Issue #Downvotes for this reason By


Metric:

528 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 132.1953, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5504, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.7849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9319, kappa: 0.6842, kb_relative_information_score: 260.8871, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9313, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8926, kappa: 0.467, kb_relative_information_score: 172.9321, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.8992, predictive_accuracy: 0.9074, prior_entropy: 0.5574, recall: 0.9074, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 270.1627, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.553, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.9378, kappa: 0.7174, kb_relative_information_score: 243.5547, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9371, predictive_accuracy: 0.9389, prior_entropy: 0.5574, recall: 0.9389, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.93, kappa: 0.6764, kb_relative_information_score: 278.6947, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9291, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.9058, kappa: 0.5481, kb_relative_information_score: 120.273, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9058, predictive_accuracy: 0.9137, prior_entropy: 0.5574, recall: 0.9137, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.8118, kb_relative_information_score: -67.1602, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8818, kappa: 0.395, kb_relative_information_score: 151.2469, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.909, predictive_accuracy: 0.9053, prior_entropy: 0.5574, recall: 0.9053, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.8118, kb_relative_information_score: -84.3906, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.308, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9234, kappa: 0.6302, kb_relative_information_score: 177.0864, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9273, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9354, kappa: 0.7055, kb_relative_information_score: 252.1928, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9346, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9234, kappa: 0.6638, kb_relative_information_score: 279.8907, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.925, predictive_accuracy: 0.9221, prior_entropy: 0.5574, recall: 0.9221, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.249, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9421, kappa: 0.7369, kb_relative_information_score: 264.4567, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9415, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8118, kb_relative_information_score: 90.5464, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.8118, kb_relative_information_score: -2.2986, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3346, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.9412, kappa: 0.729, kb_relative_information_score: 258.2104, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9407, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.214, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.8118, kb_relative_information_score: -82.6344, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.308, root_relative_squared_error: 0.9205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 263.7535, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8926, kappa: 0.467, kb_relative_information_score: 172.9463, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.8992, predictive_accuracy: 0.9074, prior_entropy: 0.5574, recall: 0.9074, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.7252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 274.4012, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.21, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.5657, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9192, kappa: 0.6188, kb_relative_information_score: 231.9719, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9188, predictive_accuracy: 0.9242, prior_entropy: 0.5574, recall: 0.9242, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.223, root_relative_squared_error: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.5657, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9293, kappa: 0.6784, kb_relative_information_score: 261.9411, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9284, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9049, kappa: 0.5225, kb_relative_information_score: 176.4107, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9232, predictive_accuracy: 0.92, prior_entropy: 0.5574, recall: 0.92, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 274.4012, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.21, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 127.2199, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.5657, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169, scimark_benchmark: 1157.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.8194, kappa: 0.0465, kb_relative_information_score: 17.1703, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.8266, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.9177, kappa: 0.6064, kb_relative_information_score: 136.3947, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9187, predictive_accuracy: 0.9242, prior_entropy: 0.5574, recall: 0.9242, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9134, kappa: 0.6117, kb_relative_information_score: 240.0522, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9131, predictive_accuracy: 0.9137, prior_entropy: 0.5574, recall: 0.9137, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.9268, kappa: 0.6502, kb_relative_information_score: 290.8267, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.929, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7758, scimark_benchmark: 1631.1992, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.8065, kappa: -0.0198, kb_relative_information_score: 99.0118, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7585, predictive_accuracy: 0.8611, prior_entropy: 0.5574, recall: 0.8611, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.1142, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 127.2199, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.8065, kappa: -0.0198, kb_relative_information_score: 99.0118, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7585, predictive_accuracy: 0.8611, prior_entropy: 0.5574, recall: 0.8611, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.1142, scimark_benchmark: 1391.8278, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 127.2199, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711, scimark_benchmark: 1385.2355, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.9268, kappa: 0.6502, kb_relative_information_score: 290.8267, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.929, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7758, scimark_benchmark: 1630.5938, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9377, kappa: 0.7255, kb_relative_information_score: 257.9717, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9388, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6691, scimark_benchmark: 1908.2191, usercpu_time_millis: 1375, usercpu_time_millis_training: 1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.9345, kappa: 0.7064, kb_relative_information_score: 277.6221, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.6677, scimark_benchmark: 1908.2191, usercpu_time_millis: 1359.375, usercpu_time_millis_training: 1359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1827.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9483, kappa: 0.7644, kb_relative_information_score: 282.5349, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9479, predictive_accuracy: 0.9495, prior_entropy: 0.5574, recall: 0.9495, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.64, scimark_benchmark: 1331.109, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9345, kappa: 0.7064, kb_relative_information_score: 276.7667, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.6672, scimark_benchmark: 1293.3306, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.5657, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169, scimark_benchmark: 1275.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9381, kappa: 0.7292, kb_relative_information_score: 255.1467, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9399, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6631, scimark_benchmark: 1245.0928, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 222.0466, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.6627, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.9288, kappa: 0.6664, kb_relative_information_score: 281.0794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9286, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7435, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9215, kappa: 0.6222, kb_relative_information_score: 168.7878, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9243, predictive_accuracy: 0.9284, prior_entropy: 0.5574, recall: 0.9284, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7165, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 270.4041, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6794, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9421, kappa: 0.7369, kb_relative_information_score: 271.402, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9415, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6379, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9293, kappa: 0.6784, kb_relative_information_score: 261.9555, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9284, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.6947, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.553, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 274.4012, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.21, root_relative_squared_error: 0.6275, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.5657, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9381, kappa: 0.7292, kb_relative_information_score: 255.1467, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9399, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6631, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 222.0466, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.6627, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.9288, kappa: 0.6664, kb_relative_information_score: 281.0794, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9286, predictive_accuracy: 0.9326, prior_entropy: 0.5574, recall: 0.9326, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.7435, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9215, kappa: 0.6222, kb_relative_information_score: 168.7878, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9243, predictive_accuracy: 0.9284, prior_entropy: 0.5574, recall: 0.9284, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7165, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 270.4041, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6794, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9421, kappa: 0.7369, kb_relative_information_score: 271.402, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9415, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6379, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9293, kappa: 0.6784, kb_relative_information_score: 261.9555, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9284, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.6947, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.553, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 274.4012, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.21, root_relative_squared_error: 0.6275, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 222.0466, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.6627, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9215, kappa: 0.6222, kb_relative_information_score: 168.7878, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9243, predictive_accuracy: 0.9284, prior_entropy: 0.5574, recall: 0.9284, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7165, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.9381, kappa: 0.7292, kb_relative_information_score: 255.1467, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9399, predictive_accuracy: 0.9368, prior_entropy: 0.5574, recall: 0.9368, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.6631, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.9188, kappa: 0.6078, kb_relative_information_score: 145.5048, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9219, predictive_accuracy: 0.9263, prior_entropy: 0.5574, recall: 0.9263, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.731, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 272.8447, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6531, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.9284, kappa: 0.6903, kb_relative_information_score: 230.8936, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9317, predictive_accuracy: 0.9263, prior_entropy: 0.5574, recall: 0.9263, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.6803, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9303, kappa: 0.6875, kb_relative_information_score: 223.3993, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9301, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.6681, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1280.8547, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 270.1627, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.6793, scimark_benchmark: 1080.3549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 263.7535, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.631, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 263.7535, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.631, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.9222, kappa: 0.6283, kb_relative_information_score: 253.5049, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9239, predictive_accuracy: 0.9284, prior_entropy: 0.5574, recall: 0.9284, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.7386, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 272.0367, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6262, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 263.7535, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.631, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.9397, kappa: 0.7252, kb_relative_information_score: 246.8973, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.939, predictive_accuracy: 0.9411, prior_entropy: 0.5574, recall: 0.9411, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.218, root_relative_squared_error: 0.6516, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.9182, kappa: 0.6358, kb_relative_information_score: 251.3354, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9185, predictive_accuracy: 0.9179, prior_entropy: 0.5574, recall: 0.9179, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.8565, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 269.11, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6326, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9421, kappa: 0.7369, kb_relative_information_score: 271.402, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9415, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.6379, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9234, kappa: 0.6302, kb_relative_information_score: 177.0864, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9273, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7172, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.9046, kappa: 0.5323, kb_relative_information_score: 178.553, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9096, predictive_accuracy: 0.9158, prior_entropy: 0.5574, recall: 0.9158, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7169, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.9412, kappa: 0.729, kb_relative_information_score: 319.0348, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9407, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 127.2199, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5574, recall: 0.8716, relative_absolute_error: 0.5707, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.9325, kappa: 0.6889, kb_relative_information_score: 296.4683, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9316, predictive_accuracy: 0.9347, prior_entropy: 0.5574, recall: 0.9347, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 269.2135, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6336, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9451, kappa: 0.7453, kb_relative_information_score: 274.4012, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9451, predictive_accuracy: 0.9474, prior_entropy: 0.5574, recall: 0.9474, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.21, root_relative_squared_error: 0.6275, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9445, kappa: 0.7485, kb_relative_information_score: 266.4928, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9439, predictive_accuracy: 0.9453, prior_entropy: 0.5574, recall: 0.9453, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.6322, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9293, kappa: 0.6784, kb_relative_information_score: 261.9411, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9284, predictive_accuracy: 0.9305, prior_entropy: 0.5574, recall: 0.9305, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.6939, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,

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