Task
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 1934 Supervised Classification hepatitis 208 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

208 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 941.3142, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7885, kappa: 0.3011, kb_relative_information_score: 249.7947, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.791, predictive_accuracy: 0.8155, prior_entropy: 0.7418, recall: 0.8155, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8795, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 943.8235, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 947.1781, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 608.4057, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 730.6551, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 906.0979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7885, kappa: 0.3011, kb_relative_information_score: 249.7947, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.791, predictive_accuracy: 0.8155, prior_entropy: 0.7418, recall: 0.8155, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8795, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 906.0979, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 936.3213, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 901.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8367, kappa: 0.4817, kb_relative_information_score: 444.265, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8342, predictive_accuracy: 0.8445, prior_entropy: 0.7418, recall: 0.8445, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.8175, scimark_benchmark: 940.1221, usercpu_time_millis: 1690, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.8359, kappa: 0.4801, kb_relative_information_score: 444.416, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8331, predictive_accuracy: 0.8432, prior_entropy: 0.7418, recall: 0.8432, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.8215, scimark_benchmark: 934.7923, usercpu_time_millis: 790, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8291, kappa: 0.4587, kb_relative_information_score: 428.1918, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.826, predictive_accuracy: 0.8368, prior_entropy: 0.7418, recall: 0.8368, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.8284, scimark_benchmark: 917.2109, usercpu_time_millis: 330, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8364, kappa: 0.4815, kb_relative_information_score: 449.6398, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8338, predictive_accuracy: 0.8439, prior_entropy: 0.7418, recall: 0.8439, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.8209, scimark_benchmark: 930.0025, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8288, kappa: 0.4598, kb_relative_information_score: 407.5361, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8256, predictive_accuracy: 0.8355, prior_entropy: 0.7418, recall: 0.8355, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.8509, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8294, kappa: 0.4767, kb_relative_information_score: 537.0815, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8286, predictive_accuracy: 0.8303, prior_entropy: 0.7418, recall: 0.8303, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9215, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8294, kappa: 0.4767, kb_relative_information_score: 537.0815, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8286, predictive_accuracy: 0.8303, prior_entropy: 0.7418, recall: 0.8303, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9215, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8294, kappa: 0.4767, kb_relative_information_score: 537.0815, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8286, predictive_accuracy: 0.8303, prior_entropy: 0.7418, recall: 0.8303, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9215, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.8294, kappa: 0.4767, kb_relative_information_score: 537.0815, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8286, predictive_accuracy: 0.8303, prior_entropy: 0.7418, recall: 0.8303, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9215, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8292, kappa: 0.4755, kb_relative_information_score: 524.3121, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8282, predictive_accuracy: 0.8303, prior_entropy: 0.7418, recall: 0.8303, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.9223, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -9.8015, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8213, kappa: 0.4372, kb_relative_information_score: 594.4093, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8177, predictive_accuracy: 0.8277, prior_entropy: 0.7418, recall: 0.8277, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9916, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8229, kappa: 0.4414, kb_relative_information_score: 607.587, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8194, predictive_accuracy: 0.8297, prior_entropy: 0.7418, recall: 0.8297, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9741, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8087, kappa: 0.3857, kb_relative_information_score: 571.8891, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8049, predictive_accuracy: 0.8213, prior_entropy: 0.7418, recall: 0.8213, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9819, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7958, kappa: 0.3444, kb_relative_information_score: 512.3215, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7905, predictive_accuracy: 0.809, prior_entropy: 0.7418, recall: 0.809, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.0016, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7778, kappa: 0.2738, kb_relative_information_score: 441.09, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7725, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0335, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7732, kappa: 0.276, kb_relative_information_score: 240.8762, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7659, predictive_accuracy: 0.7858, prior_entropy: 0.7418, recall: 0.7858, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0347, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8247, kappa: 0.4657, kb_relative_information_score: -27.4962, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8249, predictive_accuracy: 0.8245, prior_entropy: 0.7418, recall: 0.8245, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.8847, scimark_benchmark: 942.6192, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.7907, kappa: 0.3053, kb_relative_information_score: 271.367, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7979, predictive_accuracy: 0.82, prior_entropy: 0.7418, recall: 0.82, relative_absolute_error: 0.7613, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8719, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 898.5878, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7885, kappa: 0.3011, kb_relative_information_score: 249.7947, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.791, predictive_accuracy: 0.8155, prior_entropy: 0.7418, recall: 0.8155, relative_absolute_error: 0.7834, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8795, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 942.3809, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 946.9304, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 935.627, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 1353.0836, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7738, kappa: 0.2631, kb_relative_information_score: 203.4491, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7672, predictive_accuracy: 0.7948, prior_entropy: 0.7418, recall: 0.7948, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0085, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1334.8671, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1303.5632, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 908.2231, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1286.2211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8439, kappa: 0.539, kb_relative_information_score: 596.6622, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8508, predictive_accuracy: 0.8394, prior_entropy: 0.7418, recall: 0.8394, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9146, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1347.1763, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8439, kappa: 0.539, kb_relative_information_score: 596.6622, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8508, predictive_accuracy: 0.8394, prior_entropy: 0.7418, recall: 0.8394, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9146, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8526, kappa: 0.5357, kb_relative_information_score: 598.0678, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8505, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8145, scimark_benchmark: 1343.3311, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8439, kappa: 0.539, kb_relative_information_score: 596.6622, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8508, predictive_accuracy: 0.8394, prior_entropy: 0.7418, recall: 0.8394, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9146, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8107, kappa: 0.4197, kb_relative_information_score: 464.6014, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8099, predictive_accuracy: 0.8116, prior_entropy: 0.7418, recall: 0.8116, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9488, scimark_benchmark: 1350.8432, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.8239, kappa: 0.4285, kb_relative_information_score: 393.684, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8242, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.833, scimark_benchmark: 1310.6554, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7893, kappa: 0.321, kb_relative_information_score: 241.988, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7837, predictive_accuracy: 0.8045, prior_entropy: 0.7418, recall: 0.8045, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.915, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.8289, kappa: 0.4753, kb_relative_information_score: 565.1869, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8281, predictive_accuracy: 0.8297, prior_entropy: 0.7418, recall: 0.8297, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9494, scimark_benchmark: 1350.4825, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7757, kappa: 0.2823, kb_relative_information_score: 258.4416, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7685, predictive_accuracy: 0.789, prior_entropy: 0.7418, recall: 0.789, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.0287, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7576, kappa: 0.2591, kb_relative_information_score: 172.9861, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.7572, predictive_accuracy: 0.7581, prior_entropy: 0.7418, recall: 0.7581, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.0372, scimark_benchmark: 1344.0499, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7022, kb_relative_information_score: 417.5873, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1335.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8594, kappa: 0.5771, kb_relative_information_score: 646.7344, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8619, predictive_accuracy: 0.8574, prior_entropy: 0.7418, recall: 0.8574, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.341, root_relative_squared_error: 0.8423, scimark_benchmark: 1335.2363,

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