OpenML
Supervised Classification on fri_c4_250_25

Supervised Classification on fri_c4_250_25

Task 4501 Supervised Classification fri_c4_250_25 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8442, kappa: 0.6869, kb_relative_information_score: 1493.7766, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7063, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.837, kappa: 0.672, kb_relative_information_score: 1523.1934, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8377, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6924, scimark_benchmark: 934.3687, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 904.0772, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.826, kappa: 0.6491, kb_relative_information_score: 1279.4436, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9945, recall: 0.826, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6909, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.633, kappa: 0.2598, kb_relative_information_score: 470.2369, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6328, predictive_accuracy: 0.6332, prior_entropy: 0.9945, recall: 0.6332, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9938, scimark_benchmark: 932.2692, usercpu_time_millis: 370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 944.1783, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8288, kappa: 0.6542, kb_relative_information_score: 1048.0763, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8304, predictive_accuracy: 0.8296, prior_entropy: 0.9945, recall: 0.8296, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7207, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8442, kappa: 0.6869, kb_relative_information_score: 1493.7766, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7063, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.837, kappa: 0.672, kb_relative_information_score: 1523.1934, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8377, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6924, scimark_benchmark: 936.2574, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 904.5548, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.826, kappa: 0.6491, kb_relative_information_score: 1279.4436, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9945, recall: 0.826, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6909, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.633, kappa: 0.2598, kb_relative_information_score: 470.2369, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6328, predictive_accuracy: 0.6332, prior_entropy: 0.9945, recall: 0.6332, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9938, scimark_benchmark: 936.3213, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 932.438, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8288, kappa: 0.6542, kb_relative_information_score: 1048.0763, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8304, predictive_accuracy: 0.8296, prior_entropy: 0.9945, recall: 0.8296, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7207, scimark_benchmark: 938.988, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7895, kappa: 0.5752, kb_relative_information_score: 843.1882, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7897, predictive_accuracy: 0.79, prior_entropy: 0.9945, recall: 0.79, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7831, scimark_benchmark: 908.9569, usercpu_time_millis: 4260, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 2600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7998, kappa: 0.5959, kb_relative_information_score: 835.5452, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8003, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.7869, scimark_benchmark: 934.7923, usercpu_time_millis: 2030, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7855, kappa: 0.5671, kb_relative_information_score: 827.6907, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7857, predictive_accuracy: 0.786, prior_entropy: 0.9945, recall: 0.786, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7925, scimark_benchmark: 931.9419, usercpu_time_millis: 670, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7753, kappa: 0.5466, kb_relative_information_score: 854.2536, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7753, predictive_accuracy: 0.7756, prior_entropy: 0.9945, recall: 0.7756, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7903, scimark_benchmark: 906.8974, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7649, kappa: 0.5254, kb_relative_information_score: 837.4074, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7652, predictive_accuracy: 0.7656, prior_entropy: 0.9945, recall: 0.7656, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8129, scimark_benchmark: 899.0468, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8009, kappa: 0.5981, kb_relative_information_score: 1410.9235, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8016, predictive_accuracy: 0.8016, prior_entropy: 0.9945, recall: 0.8016, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7815, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8001, kappa: 0.5964, kb_relative_information_score: 1408.3398, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8008, predictive_accuracy: 0.8008, prior_entropy: 0.9945, recall: 0.8008, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827, scimark_benchmark: 938.3115, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.8002, kappa: 0.5966, kb_relative_information_score: 1394.3054, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8007, predictive_accuracy: 0.8008, prior_entropy: 0.9945, recall: 0.8008, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.39, root_relative_squared_error: 0.783, scimark_benchmark: 894.7131, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.807, kappa: 0.6105, kb_relative_information_score: 1387.0568, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8075, predictive_accuracy: 0.8076, prior_entropy: 0.9945, recall: 0.8076, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7609, scimark_benchmark: 936.1714, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8193, kappa: 0.6352, kb_relative_information_score: 1339.1335, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8194, predictive_accuracy: 0.8196, prior_entropy: 0.9945, recall: 0.8196, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7377, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.3833, kb_relative_information_score: -0.751, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0002, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.826, kappa: 0.6491, kb_relative_information_score: 1279.4436, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9945, recall: 0.826, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6909, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 1375.1578, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7934, kappa: 0.5829, kb_relative_information_score: 1399.4784, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7938, predictive_accuracy: 0.794, prior_entropy: 0.9945, recall: 0.794, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7284, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.633, kappa: 0.2598, kb_relative_information_score: 470.2369, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6328, predictive_accuracy: 0.6332, prior_entropy: 0.9945, recall: 0.6332, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9938, scimark_benchmark: 1313.8988, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1306.8702, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7934, kappa: 0.5829, kb_relative_information_score: 1399.4784, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.7938, predictive_accuracy: 0.794, prior_entropy: 0.9945, recall: 0.794, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7284, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.7999, kappa: 0.5961, kb_relative_information_score: 1431.4918, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8002, predictive_accuracy: 0.8004, prior_entropy: 0.9945, recall: 0.8004, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7089, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 1322.1893, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 1339.8573, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.837, kappa: 0.672, kb_relative_information_score: 1523.1934, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8377, predictive_accuracy: 0.8368, prior_entropy: 0.9945, recall: 0.8368, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6924, scimark_benchmark: 1318.4315, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.826, kappa: 0.6491, kb_relative_information_score: 1279.4436, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9945, recall: 0.826, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6909, scimark_benchmark: 1396.1629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 1360.6367, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 1351.1238, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8339, kappa: 0.6652, kb_relative_information_score: 1295.0539, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8339, predictive_accuracy: 0.834, prior_entropy: 0.9945, recall: 0.834, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6668, scimark_benchmark: 1346.2927, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 1357.1531, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6672, kappa: 0.3281, kb_relative_information_score: 823.3999, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.6672, predictive_accuracy: 0.6684, prior_entropy: 0.9945, recall: 0.6684, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1562, scimark_benchmark: 1311.7006, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8332, kappa: 0.6637, kb_relative_information_score: 1352.2434, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9945, recall: 0.8332, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6942, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8302, kappa: 0.6575, kb_relative_information_score: 1490.3069, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9945, recall: 0.8304, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7382, scimark_benchmark: 940.3347, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.8017, kappa: 0.6007, kb_relative_information_score: 1325.1573, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4962, number_of_instances: 2500, precision: 0.802, predictive_accuracy: 0.8016, prior_entropy: 0.9945, recall: 0.8016, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8024, scimark_benchmark: 1384.4422, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs