Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 1891 Supervised Classification balance-scale 185 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8119, kappa: 0.7151, kb_relative_information_score: 3611.9508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7802, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.6185, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.811, kappa: 0.7084, kb_relative_information_score: 3240.7298, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7835, predictive_accuracy: 0.8419, prior_entropy: 1.3212, recall: 0.8419, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6476, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8221, kappa: 0.6777, kb_relative_information_score: 3561.7517, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8299, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6595, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7269, kappa: 0.5498, kb_relative_information_score: 2465.0017, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6994, predictive_accuracy: 0.7568, prior_entropy: 1.3212, recall: 0.7568, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8017, scimark_benchmark: 937.5117, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8221, kappa: 0.6777, kb_relative_information_score: 3561.7517, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8299, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6595, scimark_benchmark: 943.1009, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8119, kappa: 0.7151, kb_relative_information_score: 3611.9508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7802, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.6185, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 859.5223, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 919.3788, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.6892, kappa: 0.478, kb_relative_information_score: 2236.8587, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6622, predictive_accuracy: 0.7186, prior_entropy: 1.3212, recall: 0.7186, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.7516, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.811, kappa: 0.7084, kb_relative_information_score: 3240.7298, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7835, predictive_accuracy: 0.8419, prior_entropy: 1.3212, recall: 0.8419, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6476, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7269, kappa: 0.5498, kb_relative_information_score: 2465.0017, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6994, predictive_accuracy: 0.7568, prior_entropy: 1.3212, recall: 0.7568, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8017, scimark_benchmark: 941.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8221, kappa: 0.6777, kb_relative_information_score: 3561.7517, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8299, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6595, scimark_benchmark: 1051.249, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.913, kappa: 0.862, kb_relative_information_score: 4783.3798, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9144, predictive_accuracy: 0.9237, prior_entropy: 1.3212, recall: 0.9237, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4419, scimark_benchmark: 938.4601, usercpu_time_millis: 1500, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.912, kappa: 0.8617, kb_relative_information_score: 4767.553, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9143, predictive_accuracy: 0.9237, prior_entropy: 1.3212, recall: 0.9237, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4448, scimark_benchmark: 938.4601, usercpu_time_millis: 720, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9064, kappa: 0.853, kb_relative_information_score: 4754.111, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.907, predictive_accuracy: 0.9189, prior_entropy: 1.3212, recall: 0.9189, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.449, scimark_benchmark: 939.7241, usercpu_time_millis: 360, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9082, kappa: 0.8549, kb_relative_information_score: 4747.259, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9085, predictive_accuracy: 0.9198, prior_entropy: 1.3212, recall: 0.9198, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.453, scimark_benchmark: 941.8684, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8993, kappa: 0.8381, kb_relative_information_score: 4696.9006, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8957, predictive_accuracy: 0.9102, prior_entropy: 1.3212, recall: 0.9102, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.4702, scimark_benchmark: 894.7131, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.4718, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.688, kappa: 0.4757, kb_relative_information_score: 1542.3335, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.661, predictive_accuracy: 0.7173, prior_entropy: 1.3212, recall: 0.7173, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8258, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.688, kappa: 0.4757, kb_relative_information_score: 1542.3335, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.661, predictive_accuracy: 0.7173, prior_entropy: 1.3212, recall: 0.7173, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8258, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.688, kappa: 0.4757, kb_relative_information_score: 1542.3335, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.661, predictive_accuracy: 0.7173, prior_entropy: 1.3212, recall: 0.7173, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8258, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.688, kappa: 0.4757, kb_relative_information_score: 1542.3335, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.661, predictive_accuracy: 0.7173, prior_entropy: 1.3212, recall: 0.7173, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.8258, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.6958, kappa: 0.4908, kb_relative_information_score: 2536.2974, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6686, predictive_accuracy: 0.7254, prior_entropy: 1.3212, recall: 0.7254, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.8322, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 427.0222, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.6013, root_relative_squared_error: 1.3805, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7642, kappa: 0.6218, kb_relative_information_score: 3072.1766, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7352, predictive_accuracy: 0.7957, prior_entropy: 1.3212, recall: 0.7957, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.7236, scimark_benchmark: 906.0884, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7302, kappa: 0.5573, kb_relative_information_score: 1034.8736, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7016, predictive_accuracy: 0.7613, prior_entropy: 1.3212, recall: 0.7613, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8811, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8119, kappa: 0.7151, kb_relative_information_score: 3611.9508, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7802, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.6185, scimark_benchmark: 1253.0071, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.811, kappa: 0.7084, kb_relative_information_score: 3240.7298, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.7835, predictive_accuracy: 0.8419, prior_entropy: 1.3212, recall: 0.8419, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.6476, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7269, kappa: 0.5498, kb_relative_information_score: 2465.0017, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6994, predictive_accuracy: 0.7568, prior_entropy: 1.3212, recall: 0.7568, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8017, scimark_benchmark: 940.3347, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1348.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.862, kappa: 0.8112, kb_relative_information_score: 4613.5202, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8287, predictive_accuracy: 0.8981, prior_entropy: 1.3212, recall: 0.8981, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5984, scimark_benchmark: 1304.2593, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8221, kappa: 0.6777, kb_relative_information_score: 3561.7517, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8299, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6595, scimark_benchmark: 1347.993, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7269, kappa: 0.5498, kb_relative_information_score: 2465.0017, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6994, predictive_accuracy: 0.7568, prior_entropy: 1.3212, recall: 0.7568, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8017, scimark_benchmark: 1278.6629, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8221, kappa: 0.6777, kb_relative_information_score: 3561.7517, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.8299, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6595, scimark_benchmark: 1326.8946, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.6892, kappa: 0.478, kb_relative_information_score: 2236.8587, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6622, predictive_accuracy: 0.7186, prior_entropy: 1.3212, recall: 0.7186, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.7516, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7269, kappa: 0.5498, kb_relative_information_score: 2465.0017, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6994, predictive_accuracy: 0.7568, prior_entropy: 1.3212, recall: 0.7568, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.8017, scimark_benchmark: 1335.5424, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.6769, kappa: 0.4505, kb_relative_information_score: 1954.4525, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6576, predictive_accuracy: 0.7018, prior_entropy: 1.3212, recall: 0.7018, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8856, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.5233, kappa: 0.1573, kb_relative_information_score: 1003.2183, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.5028, predictive_accuracy: 0.5456, prior_entropy: 1.3212, recall: 0.5456, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9381, scimark_benchmark: 926.6704, usercpu_time_millis: 350, usercpu_time_millis_testing: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9093, kappa: 0.8333, kb_relative_information_score: 5067.0069, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.9202, predictive_accuracy: 0.9027, prior_entropy: 1.3212, recall: 0.9027, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5518, scimark_benchmark: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.6711, kappa: 0.443, kb_relative_information_score: 2455.0719, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3798, number_of_instances: 6250, precision: 0.6449, predictive_accuracy: 0.6997, prior_entropy: 1.3212, recall: 0.6997, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.322, root_relative_squared_error: 0.7393, scimark_benchmark: 933.1165,

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