OpenML
Supervised Classification on fri_c1_1000_5

Supervised Classification on fri_c1_1000_5

Task 4314 Supervised Classification fri_c1_1000_5 196 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

196 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8494, kappa: 0.696, kb_relative_information_score: 6030.8851, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.694, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8429, kappa: 0.6829, kb_relative_information_score: 4594.051, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8438, predictive_accuracy: 0.8434, prior_entropy: 0.9947, recall: 0.8434, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6996, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8504, kappa: 0.698, kb_relative_information_score: 5884.8757, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8521, predictive_accuracy: 0.8511, prior_entropy: 0.9947, recall: 0.8511, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6429, scimark_benchmark: 934.3687, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 904.6764, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 931.771, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8958, kappa: 0.7898, kb_relative_information_score: 6856.6422, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8959, predictive_accuracy: 0.8959, prior_entropy: 0.9947, recall: 0.8959, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5471, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7194, kappa: 0.435, kb_relative_information_score: 2507.4464, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7193, prior_entropy: 0.9947, recall: 0.7193, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8664, scimark_benchmark: 944.1067, usercpu_time_millis: 24610, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 24450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8648, kappa: 0.7275, kb_relative_information_score: 6476.0308, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8648, predictive_accuracy: 0.8648, prior_entropy: 0.9947, recall: 0.8648, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6572, scimark_benchmark: 927.2917, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 932.438, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9193, kappa: 0.8373, kb_relative_information_score: 7435.7711, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9193, predictive_accuracy: 0.9193, prior_entropy: 0.9947, recall: 0.9193, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4847, scimark_benchmark: 943.1009, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8618, kappa: 0.7214, kb_relative_information_score: 6293.6684, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9947, recall: 0.8619, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6204, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8494, kappa: 0.696, kb_relative_information_score: 6030.8851, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.694, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8429, kappa: 0.6829, kb_relative_information_score: 4594.051, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8438, predictive_accuracy: 0.8434, prior_entropy: 0.9947, recall: 0.8434, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6996, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8504, kappa: 0.698, kb_relative_information_score: 5884.8757, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8521, predictive_accuracy: 0.8511, prior_entropy: 0.9947, recall: 0.8511, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6429, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 937.5683, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 859.5223, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8958, kappa: 0.7898, kb_relative_information_score: 6856.6422, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8959, predictive_accuracy: 0.8959, prior_entropy: 0.9947, recall: 0.8959, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5471, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7194, kappa: 0.435, kb_relative_information_score: 2507.4464, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7193, prior_entropy: 0.9947, recall: 0.7193, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8664, scimark_benchmark: 905.2959, usercpu_time_millis: 21840, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 21740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8648, kappa: 0.7275, kb_relative_information_score: 6476.0308, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8648, predictive_accuracy: 0.8648, prior_entropy: 0.9947, recall: 0.8648, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6572, scimark_benchmark: 945.6228, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9193, kappa: 0.8373, kb_relative_information_score: 7435.7711, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9193, predictive_accuracy: 0.9193, prior_entropy: 0.9947, recall: 0.9193, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4847, scimark_benchmark: 936.3213, usercpu_time_millis: 300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9349, kappa: 0.8689, kb_relative_information_score: 7173.0321, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9349, predictive_accuracy: 0.9349, prior_entropy: 0.9947, recall: 0.9349, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.4649, scimark_benchmark: 904.5548, usercpu_time_millis: 3280, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 2560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9331, kappa: 0.8653, kb_relative_information_score: 7181.425, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9331, predictive_accuracy: 0.9331, prior_entropy: 0.9947, recall: 0.9331, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4667, scimark_benchmark: 904.5548, usercpu_time_millis: 1610, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9323, kappa: 0.8637, kb_relative_information_score: 7138.8401, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9323, predictive_accuracy: 0.9323, prior_entropy: 0.9947, recall: 0.9323, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4719, scimark_benchmark: 897.0978, usercpu_time_millis: 800, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9279, kappa: 0.8548, kb_relative_information_score: 7152.5212, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9279, predictive_accuracy: 0.9279, prior_entropy: 0.9947, recall: 0.9279, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4764, scimark_benchmark: 921.2615, usercpu_time_millis: 380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9258, kappa: 0.8505, kb_relative_information_score: 7076.9064, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9258, predictive_accuracy: 0.9258, prior_entropy: 0.9947, recall: 0.9258, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.4936, scimark_benchmark: 908.4147, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8725, kappa: 0.7429, kb_relative_information_score: 6627.5761, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8725, predictive_accuracy: 0.8726, prior_entropy: 0.9947, recall: 0.8726, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5984, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8725, kappa: 0.7429, kb_relative_information_score: 6627.5761, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8725, predictive_accuracy: 0.8726, prior_entropy: 0.9947, recall: 0.8726, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.5984, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.871, kappa: 0.7399, kb_relative_information_score: 6607.9218, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 0.9947, recall: 0.8711, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.5999, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8307, kappa: 0.6587, kb_relative_information_score: 5146.8608, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8307, predictive_accuracy: 0.8309, prior_entropy: 0.9947, recall: 0.8309, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.693, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3822, kb_relative_information_score: -0.264, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.2948, predictive_accuracy: 0.543, prior_entropy: 0.9947, recall: 0.543, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8707, kappa: 0.7395, kb_relative_information_score: 7259.5719, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8707, predictive_accuracy: 0.8707, prior_entropy: 0.9947, recall: 0.8707, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6425, scimark_benchmark: 938.3115, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8448, kappa: 0.6874, kb_relative_information_score: 6694.821, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8449, predictive_accuracy: 0.8447, prior_entropy: 0.9947, recall: 0.8447, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6998, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8125, kappa: 0.6224, kb_relative_information_score: 5897.1157, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8126, predictive_accuracy: 0.8124, prior_entropy: 0.9947, recall: 0.8124, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7777, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7788, kappa: 0.5556, kb_relative_information_score: 5081.5046, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7803, predictive_accuracy: 0.7784, prior_entropy: 0.9947, recall: 0.7784, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8535, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7069, kappa: 0.4103, kb_relative_information_score: 3915.0544, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7075, predictive_accuracy: 0.7066, prior_entropy: 0.9947, recall: 0.7066, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9633, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3822, kb_relative_information_score: 761.8889, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.2948, predictive_accuracy: 0.543, prior_entropy: 0.9947, recall: 0.543, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3571, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8802, kappa: 0.7586, kb_relative_information_score: 7395.049, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8802, predictive_accuracy: 0.8802, prior_entropy: 0.9947, recall: 0.8802, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6648, scimark_benchmark: 922.8232, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.886, kappa: 0.7704, kb_relative_information_score: 4295.8406, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8861, predictive_accuracy: 0.886, prior_entropy: 0.9947, recall: 0.886, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.693, scimark_benchmark: 899.1108, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.753, f_measure: 0.7141, kappa: 0.4229, kb_relative_information_score: 1854.8244, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7144, predictive_accuracy: 0.7151, prior_entropy: 0.9947, recall: 0.7151, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9017, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8494, kappa: 0.696, kb_relative_information_score: 6030.8851, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.694, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8429, kappa: 0.6829, kb_relative_information_score: 4594.051, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8438, predictive_accuracy: 0.8434, prior_entropy: 0.9947, recall: 0.8434, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6996, scimark_benchmark: 930.0565, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8504, kappa: 0.698, kb_relative_information_score: 5884.8757, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8521, predictive_accuracy: 0.8511, prior_entropy: 0.9947, recall: 0.8511, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6429, scimark_benchmark: 907.1091, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 939.3886, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 928.8135, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8958, kappa: 0.7898, kb_relative_information_score: 6856.6422, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8959, predictive_accuracy: 0.8959, prior_entropy: 0.9947, recall: 0.8959, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5471, scimark_benchmark: 945.0194, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7194, kappa: 0.435, kb_relative_information_score: 2507.4464, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7193, prior_entropy: 0.9947, recall: 0.7193, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8664, scimark_benchmark: 915.9028, usercpu_time_millis: 18430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 18330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 879.4299, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8648, kappa: 0.7275, kb_relative_information_score: 6476.0308, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8648, predictive_accuracy: 0.8648, prior_entropy: 0.9947, recall: 0.8648, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6572, scimark_benchmark: 910.6607, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9193, kappa: 0.8373, kb_relative_information_score: 7435.7711, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9193, predictive_accuracy: 0.9193, prior_entropy: 0.9947, recall: 0.9193, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4847, scimark_benchmark: 946.9304, usercpu_time_millis: 260, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8494, kappa: 0.696, kb_relative_information_score: 6030.8851, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.694, scimark_benchmark: 936.4883, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7153, kappa: 0.4255, kb_relative_information_score: 2641.2609, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7182, predictive_accuracy: 0.7179, prior_entropy: 0.9947, recall: 0.7179, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8679, scimark_benchmark: 936.6553, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8429, kappa: 0.6829, kb_relative_information_score: 4594.051, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8438, predictive_accuracy: 0.8434, prior_entropy: 0.9947, recall: 0.8434, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6996, scimark_benchmark: 910.1033, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 1327.3335, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8429, kappa: 0.6829, kb_relative_information_score: 4594.051, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8438, predictive_accuracy: 0.8434, prior_entropy: 0.9947, recall: 0.8434, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6996, scimark_benchmark: 1312.8274, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9193, kappa: 0.8373, kb_relative_information_score: 7435.7711, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9193, predictive_accuracy: 0.9193, prior_entropy: 0.9947, recall: 0.9193, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4847, scimark_benchmark: 1336.0954, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8958, kappa: 0.7898, kb_relative_information_score: 6856.6422, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8959, predictive_accuracy: 0.8959, prior_entropy: 0.9947, recall: 0.8959, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5471, scimark_benchmark: 1347.6543, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8494, kappa: 0.696, kb_relative_information_score: 6030.8851, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.694, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9168, kappa: 0.833, kb_relative_information_score: 8315.9416, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9184, predictive_accuracy: 0.9167, prior_entropy: 0.9947, recall: 0.9167, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5794, scimark_benchmark: 1316.5668, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7194, kappa: 0.435, kb_relative_information_score: 2507.4464, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7193, prior_entropy: 0.9947, recall: 0.7193, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8664, scimark_benchmark: 1313.11, usercpu_time_millis: 12100, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 11990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8387, kappa: 0.6754, kb_relative_information_score: 5611.3862, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 0.9947, recall: 0.8385, relative_absolute_error: 0.4617, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6906, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8497, kappa: 0.6968, kb_relative_information_score: 5995.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8497, predictive_accuracy: 0.8498, prior_entropy: 0.9947, recall: 0.8498, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6561, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8648, kappa: 0.7275, kb_relative_information_score: 6476.0308, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8648, predictive_accuracy: 0.8648, prior_entropy: 0.9947, recall: 0.8648, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6572, scimark_benchmark: 1313.5633, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9193, kappa: 0.8373, kb_relative_information_score: 7435.7711, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.9193, predictive_accuracy: 0.9193, prior_entropy: 0.9947, recall: 0.9193, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4847, scimark_benchmark: 1313.5633, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7202, kappa: 0.4355, kb_relative_information_score: 2442.88, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.7201, predictive_accuracy: 0.7206, prior_entropy: 0.9947, recall: 0.7206, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8737, scimark_benchmark: 1318.3027, usercpu_time_millis: 2250, usercpu_time_millis_testing: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8429, kappa: 0.6829, kb_relative_information_score: 4594.051, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8438, predictive_accuracy: 0.8434, prior_entropy: 0.9947, recall: 0.8434, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.6996, scimark_benchmark: 1346.0226, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8867, kappa: 0.7715, kb_relative_information_score: 7434.9596, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4963, number_of_instances: 10000, precision: 0.8866, predictive_accuracy: 0.8867, prior_entropy: 0.9947, recall: 0.8867, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6324, scimark_benchmark: 1322.5413, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,

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