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Supervised Classification on fri_c3_250_50

Supervised Classification on fri_c3_250_50

Task 4442 Supervised Classification fri_c3_250_50 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8436, kappa: 0.6813, kb_relative_information_score: 1544.4026, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8436, predictive_accuracy: 0.8436, prior_entropy: 0.9868, recall: 0.8436, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7191, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8012, kappa: 0.595, kb_relative_information_score: 1229.5618, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8013, predictive_accuracy: 0.8012, prior_entropy: 0.9868, recall: 0.8012, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7408, scimark_benchmark: 972.587, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8231, kappa: 0.6395, kb_relative_information_score: 1441.9713, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8231, predictive_accuracy: 0.8232, prior_entropy: 0.9868, recall: 0.8232, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7499, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5385, kappa: 0.07, kb_relative_information_score: 275.4677, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5499, predictive_accuracy: 0.5668, prior_entropy: 0.9868, recall: 0.5668, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3287, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5385, kappa: 0.07, kb_relative_information_score: 275.4677, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5499, predictive_accuracy: 0.5668, prior_entropy: 0.9868, recall: 0.5668, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3287, scimark_benchmark: 944.1067, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.841, kappa: 0.6755, kb_relative_information_score: 1186.5014, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8409, predictive_accuracy: 0.8412, prior_entropy: 0.9868, recall: 0.8412, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7012, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5527, kappa: 0.0844, kb_relative_information_score: 177.7862, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5512, predictive_accuracy: 0.5572, prior_entropy: 0.9868, recall: 0.5572, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0859, scimark_benchmark: 941.6675, usercpu_time_millis: 460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7961, kappa: 0.5849, kb_relative_information_score: 1313.6888, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8306, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5385, kappa: 0.07, kb_relative_information_score: 275.4677, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5499, predictive_accuracy: 0.5668, prior_entropy: 0.9868, recall: 0.5668, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3287, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5385, kappa: 0.07, kb_relative_information_score: 275.4677, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5499, predictive_accuracy: 0.5668, prior_entropy: 0.9868, recall: 0.5668, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3287, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8069, kappa: 0.6048, kb_relative_information_score: 665.7574, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8092, prior_entropy: 0.9868, recall: 0.8092, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8154, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8436, kappa: 0.6813, kb_relative_information_score: 1544.4026, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8436, predictive_accuracy: 0.8436, prior_entropy: 0.9868, recall: 0.8436, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7191, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8012, kappa: 0.595, kb_relative_information_score: 1229.5618, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8013, predictive_accuracy: 0.8012, prior_entropy: 0.9868, recall: 0.8012, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7408, scimark_benchmark: 908.9569, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8231, kappa: 0.6395, kb_relative_information_score: 1441.9713, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8231, predictive_accuracy: 0.8232, prior_entropy: 0.9868, recall: 0.8232, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7499, scimark_benchmark: 936.2574, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5385, kappa: 0.07, kb_relative_information_score: 275.4677, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5499, predictive_accuracy: 0.5668, prior_entropy: 0.9868, recall: 0.5668, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3287, scimark_benchmark: 926.5462, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8192, kappa: 0.631, kb_relative_information_score: 1426.0665, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8192, predictive_accuracy: 0.8196, prior_entropy: 0.9868, recall: 0.8196, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6815, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.841, kappa: 0.6755, kb_relative_information_score: 1186.5014, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8409, predictive_accuracy: 0.8412, prior_entropy: 0.9868, recall: 0.8412, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7012, scimark_benchmark: 903.2737, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5527, kappa: 0.0844, kb_relative_information_score: 177.7862, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5512, predictive_accuracy: 0.5572, prior_entropy: 0.9868, recall: 0.5572, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0859, scimark_benchmark: 938.4601, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8069, kappa: 0.6048, kb_relative_information_score: 665.7574, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8092, prior_entropy: 0.9868, recall: 0.8092, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8154, scimark_benchmark: 936.9595, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7804, kappa: 0.5504, kb_relative_information_score: 533.1001, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7831, predictive_accuracy: 0.7828, prior_entropy: 0.9868, recall: 0.7828, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8605, scimark_benchmark: 901.4991, usercpu_time_millis: 6890, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7762, kappa: 0.5422, kb_relative_information_score: 535.7391, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7774, predictive_accuracy: 0.778, prior_entropy: 0.9868, recall: 0.778, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8604, scimark_benchmark: 934.7923, usercpu_time_millis: 3520, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7551, kappa: 0.4987, kb_relative_information_score: 531.6706, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7577, predictive_accuracy: 0.758, prior_entropy: 0.9868, recall: 0.758, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8654, scimark_benchmark: 939.7241, usercpu_time_millis: 1800, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7208, kappa: 0.4283, kb_relative_information_score: 503.0024, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7232, predictive_accuracy: 0.7244, prior_entropy: 0.9868, recall: 0.7244, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8832, scimark_benchmark: 921.2615, usercpu_time_millis: 780, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7085, kappa: 0.4037, kb_relative_information_score: 539.6156, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7085, predictive_accuracy: 0.7104, prior_entropy: 0.9868, recall: 0.7104, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8858, scimark_benchmark: 920.3788, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.829, kappa: 0.6513, kb_relative_information_score: 1595.9048, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8289, predictive_accuracy: 0.8292, prior_entropy: 0.9868, recall: 0.8292, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7708, scimark_benchmark: 929.0296, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8272, kappa: 0.6477, kb_relative_information_score: 1584.6724, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 0.9868, recall: 0.8272, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7626, scimark_benchmark: 941.9549, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8228, kappa: 0.639, kb_relative_information_score: 1535.3532, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8229, predictive_accuracy: 0.8228, prior_entropy: 0.9868, recall: 0.8228, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7471, scimark_benchmark: 894.7131, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8217, kappa: 0.637, kb_relative_information_score: 1457.1472, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8219, predictive_accuracy: 0.8216, prior_entropy: 0.9868, recall: 0.8216, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7338, scimark_benchmark: 941.9549, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8217, kappa: 0.637, kb_relative_information_score: 1457.1472, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8219, predictive_accuracy: 0.8216, prior_entropy: 0.9868, recall: 0.8216, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7338, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8152, kappa: 0.6233, kb_relative_information_score: 1358.5539, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8151, predictive_accuracy: 0.8152, prior_entropy: 0.9868, recall: 0.8152, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7183, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4115, kb_relative_information_score: -0.6985, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8532, kappa: 0.7008, kb_relative_information_score: 1718.4772, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8532, predictive_accuracy: 0.8532, prior_entropy: 0.9868, recall: 0.8532, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7244, scimark_benchmark: 938.3115, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8436, kappa: 0.6813, kb_relative_information_score: 1544.4026, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8436, predictive_accuracy: 0.8436, prior_entropy: 0.9868, recall: 0.8436, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7191, scimark_benchmark: 907.1091, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8012, kappa: 0.595, kb_relative_information_score: 1229.5618, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8013, predictive_accuracy: 0.8012, prior_entropy: 0.9868, recall: 0.8012, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7408, scimark_benchmark: 930.0565, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5385, kappa: 0.07, kb_relative_information_score: 275.4677, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5499, predictive_accuracy: 0.5668, prior_entropy: 0.9868, recall: 0.5668, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6582, root_relative_squared_error: 1.3287, scimark_benchmark: 939.3886, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.841, kappa: 0.6755, kb_relative_information_score: 1186.5014, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8409, predictive_accuracy: 0.8412, prior_entropy: 0.9868, recall: 0.8412, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7012, scimark_benchmark: 922.5036, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7961, kappa: 0.5849, kb_relative_information_score: 1313.6888, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8306, scimark_benchmark: 910.6607, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8192, kappa: 0.631, kb_relative_information_score: 1426.0665, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8192, predictive_accuracy: 0.8196, prior_entropy: 0.9868, recall: 0.8196, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6815, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8012, kappa: 0.595, kb_relative_information_score: 1229.5618, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8013, predictive_accuracy: 0.8012, prior_entropy: 0.9868, recall: 0.8012, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7408, scimark_benchmark: 1339.6197, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8192, kappa: 0.631, kb_relative_information_score: 1426.0665, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8192, predictive_accuracy: 0.8196, prior_entropy: 0.9868, recall: 0.8196, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6815, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8192, kappa: 0.631, kb_relative_information_score: 1426.0665, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8192, predictive_accuracy: 0.8196, prior_entropy: 0.9868, recall: 0.8196, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6815, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1317.2327, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8069, kappa: 0.6048, kb_relative_information_score: 665.7574, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8092, prior_entropy: 0.9868, recall: 0.8092, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8154, scimark_benchmark: 1374.9737, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8436, kappa: 0.6813, kb_relative_information_score: 1544.4026, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8436, predictive_accuracy: 0.8436, prior_entropy: 0.9868, recall: 0.8436, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7191, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5758, f_measure: 0.5527, kappa: 0.0844, kb_relative_information_score: 177.7862, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.5512, predictive_accuracy: 0.5572, prior_entropy: 0.9868, recall: 0.5572, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0859, scimark_benchmark: 1308.685, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7961, kappa: 0.5849, kb_relative_information_score: 1313.6888, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.7963, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8306, scimark_benchmark: 1324.6442, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8192, kappa: 0.631, kb_relative_information_score: 1426.0665, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8192, predictive_accuracy: 0.8196, prior_entropy: 0.9868, recall: 0.8196, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6815, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8218, kappa: 0.6364, kb_relative_information_score: 1445.4867, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4908, number_of_instances: 2500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9868, recall: 0.822, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.676, scimark_benchmark: 1337.1928,

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