OpenML
Supervised Classification on fri_c4_100_25

Supervised Classification on fri_c4_100_25

Task 3732 Supervised Classification fri_c4_100_25 562 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:

562 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7282, kappa: 0.4521, kb_relative_information_score: 37.5252, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7301, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9433, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4517, f_measure: 0.3787, kb_relative_information_score: -0.165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0011, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7298, kappa: 0.4556, kb_relative_information_score: 46.2963, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7297, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0098, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7387, kappa: 0.4733, kb_relative_information_score: 46.2265, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9978, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7282, kappa: 0.4521, kb_relative_information_score: 46.6272, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7301, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9706, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7483, kappa: 0.4927, kb_relative_information_score: 49.4219, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7505, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9272, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7461, kappa: 0.4894, kb_relative_information_score: 47.415, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7548, predictive_accuracy: 0.75, prior_entropy: 0.9956, recall: 0.75, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9565, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 7.1603, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9956, recall: 0.54, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7579, kappa: 0.5122, kb_relative_information_score: 48.45, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7615, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9398, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7698, kappa: 0.5363, kb_relative_information_score: 27.2579, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7697, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8173, scimark_benchmark: 935.8024, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7257, kappa: 0.4485, kb_relative_information_score: 23.8356, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7338, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8748, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 40.9859, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8518, scimark_benchmark: 919.6941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 934.929, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 928.8135, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 938.5476, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 952.4682, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 935.627, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1324.1205, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 1317.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1318.6467, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1317.2327, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 1317.071, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1324.6442, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1316.6741, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1346.1568, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1306.9281, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.6833, kappa: 0.3648, kb_relative_information_score: 34.9907, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6941, predictive_accuracy: 0.69, prior_entropy: 0.9956, recall: 0.69, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.976, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7194, kappa: 0.4346, kb_relative_information_score: 41.4478, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7194, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9447, scimark_benchmark: 1325.3966, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6689, kappa: 0.3325, kb_relative_information_score: 33.3926, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1526, scimark_benchmark: 1354.4815, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1336.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.72, kappa: 0.4364, kb_relative_information_score: 40.2999, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9132, scimark_benchmark: 1344.0499, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7898, kappa: 0.5766, kb_relative_information_score: 34.1225, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7898, predictive_accuracy: 0.79, prior_entropy: 0.9956, recall: 0.79, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7716, scimark_benchmark: 1281.7531, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7302, kappa: 0.4574, kb_relative_information_score: 41.1738, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7305, predictive_accuracy: 0.73, prior_entropy: 0.9956, recall: 0.73, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8512, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 1341.5795, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7163, kappa: 0.429, kb_relative_information_score: 41.9944, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7222, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8947, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7176, kappa: 0.4309, kb_relative_information_score: 42.3048, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7205, predictive_accuracy: 0.72, prior_entropy: 0.9956, recall: 0.72, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8857, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7664, kappa: 0.5302, kb_relative_information_score: 33.1654, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7758, predictive_accuracy: 0.77, prior_entropy: 0.9956, recall: 0.77, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8074, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.6678, kappa: 0.3304, kb_relative_information_score: 24.1773, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.669, predictive_accuracy: 0.67, prior_entropy: 0.9956, recall: 0.67, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9992, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,

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