Task
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 4359 Supervised Classification fri_c1_100_10 224 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7343, kappa: 0.4673, kb_relative_information_score: 380.2686, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.737, prior_entropy: 0.9975, recall: 0.737, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9165, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7601, kappa: 0.518, kb_relative_information_score: 449.7111, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.761, prior_entropy: 0.9975, recall: 0.761, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8067, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7628, kappa: 0.5235, kb_relative_information_score: 483.7911, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9975, recall: 0.763, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9025, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6641, kappa: 0.3301, kb_relative_information_score: 324.5329, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6683, predictive_accuracy: 0.664, prior_entropy: 0.9975, recall: 0.664, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1614, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6641, kappa: 0.3301, kb_relative_information_score: 324.5329, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6683, predictive_accuracy: 0.664, prior_entropy: 0.9975, recall: 0.664, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1614, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.6998, kappa: 0.3973, kb_relative_information_score: 375.3922, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6998, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9212, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7676, kappa: 0.5331, kb_relative_information_score: 411.4263, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9975, recall: 0.768, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7848, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6331, kappa: 0.2638, kb_relative_information_score: 159.9084, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6332, predictive_accuracy: 0.633, prior_entropy: 0.9975, recall: 0.633, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.985, scimark_benchmark: 938.8177, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7527, kappa: 0.5032, kb_relative_information_score: 424.9617, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7528, predictive_accuracy: 0.753, prior_entropy: 0.9975, recall: 0.753, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9043, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6641, kappa: 0.3301, kb_relative_information_score: 324.5329, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6683, predictive_accuracy: 0.664, prior_entropy: 0.9975, recall: 0.664, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1614, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6641, kappa: 0.3301, kb_relative_information_score: 324.5329, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6683, predictive_accuracy: 0.664, prior_entropy: 0.9975, recall: 0.664, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1614, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.6998, kappa: 0.3973, kb_relative_information_score: 375.3922, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6998, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9212, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8228, kappa: 0.6442, kb_relative_information_score: 457.9678, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8229, predictive_accuracy: 0.823, prior_entropy: 0.9975, recall: 0.823, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7141, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7343, kappa: 0.4673, kb_relative_information_score: 380.2686, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.737, prior_entropy: 0.9975, recall: 0.737, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9165, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.7601, kappa: 0.518, kb_relative_information_score: 449.7111, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.761, prior_entropy: 0.9975, recall: 0.761, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8067, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7628, kappa: 0.5235, kb_relative_information_score: 483.7911, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 0.9975, recall: 0.763, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9025, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6641, kappa: 0.3301, kb_relative_information_score: 324.5329, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6683, predictive_accuracy: 0.664, prior_entropy: 0.9975, recall: 0.664, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1614, scimark_benchmark: 927.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6641, kappa: 0.3301, kb_relative_information_score: 324.5329, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6683, predictive_accuracy: 0.664, prior_entropy: 0.9975, recall: 0.664, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1614, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7676, kappa: 0.5331, kb_relative_information_score: 411.4263, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9975, recall: 0.768, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7848, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6331, kappa: 0.2638, kb_relative_information_score: 159.9084, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6332, predictive_accuracy: 0.633, prior_entropy: 0.9975, recall: 0.633, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.985, scimark_benchmark: 934.5964, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7527, kappa: 0.5032, kb_relative_information_score: 424.9617, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7528, predictive_accuracy: 0.753, prior_entropy: 0.9975, recall: 0.753, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9043, scimark_benchmark: 730.6551, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8228, kappa: 0.6442, kb_relative_information_score: 457.9678, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8229, predictive_accuracy: 0.823, prior_entropy: 0.9975, recall: 0.823, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7141, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8012, kappa: 0.6021, kb_relative_information_score: 343.9653, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8031, predictive_accuracy: 0.801, prior_entropy: 0.9975, recall: 0.801, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7813, scimark_benchmark: 1171.0303, usercpu_time_millis: 850, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.7992, kappa: 0.5975, kb_relative_information_score: 345.8221, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7999, predictive_accuracy: 0.799, prior_entropy: 0.9975, recall: 0.799, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7821, scimark_benchmark: 943.6618, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7972, kappa: 0.5938, kb_relative_information_score: 354.8981, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7984, predictive_accuracy: 0.797, prior_entropy: 0.9975, recall: 0.797, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7776, scimark_benchmark: 862.7006, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.7961, kappa: 0.5913, kb_relative_information_score: 365.672, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7967, predictive_accuracy: 0.796, prior_entropy: 0.9975, recall: 0.796, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7764, scimark_benchmark: 891.6381, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7822, kappa: 0.5639, kb_relative_information_score: 349.222, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7836, predictive_accuracy: 0.782, prior_entropy: 0.9975, recall: 0.782, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.7986, scimark_benchmark: 939.0589, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7457, kappa: 0.4892, kb_relative_information_score: 472.2299, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7458, predictive_accuracy: 0.746, prior_entropy: 0.9975, recall: 0.746, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9063, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7457, kappa: 0.4892, kb_relative_information_score: 472.2299, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7458, predictive_accuracy: 0.746, prior_entropy: 0.9975, recall: 0.746, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9063, scimark_benchmark: 930.0565, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7447, kappa: 0.4871, kb_relative_information_score: 471.3453, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7448, predictive_accuracy: 0.745, prior_entropy: 0.9975, recall: 0.745, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9064, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.7425, kappa: 0.4826, kb_relative_information_score: 459.0003, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7428, predictive_accuracy: 0.743, prior_entropy: 0.9975, recall: 0.743, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9112, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7243, kappa: 0.4462, kb_relative_information_score: 417.8614, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7248, predictive_accuracy: 0.725, prior_entropy: 0.9975, recall: 0.725, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9053, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -1.4035, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7768, kappa: 0.5518, kb_relative_information_score: 553.1901, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7793, predictive_accuracy: 0.778, prior_entropy: 0.9975, recall: 0.778, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9122, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7672, kappa: 0.5323, kb_relative_information_score: 527.0312, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7684, predictive_accuracy: 0.768, prior_entropy: 0.9975, recall: 0.768, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9254, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.6998, kappa: 0.3973, kb_relative_information_score: 375.3922, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6998, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9212, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6331, kappa: 0.2638, kb_relative_information_score: 159.9084, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6332, predictive_accuracy: 0.633, prior_entropy: 0.9975, recall: 0.633, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.985, scimark_benchmark: 1350.2591, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8228, kappa: 0.6442, kb_relative_information_score: 457.9678, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8229, predictive_accuracy: 0.823, prior_entropy: 0.9975, recall: 0.823, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7141, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.6998, kappa: 0.3973, kb_relative_information_score: 375.3922, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6998, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9212, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6331, kappa: 0.2638, kb_relative_information_score: 159.9084, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.6332, predictive_accuracy: 0.633, prior_entropy: 0.9975, recall: 0.633, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.985, scimark_benchmark: 1315.9287, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8228, kappa: 0.6442, kb_relative_information_score: 457.9678, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8229, predictive_accuracy: 0.823, prior_entropy: 0.9975, recall: 0.823, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7141, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7138, kappa: 0.4251, kb_relative_information_score: 381.6582, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.715, predictive_accuracy: 0.715, prior_entropy: 0.9975, recall: 0.715, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9124, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7527, kappa: 0.5032, kb_relative_information_score: 424.9617, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.7528, predictive_accuracy: 0.753, prior_entropy: 0.9975, recall: 0.753, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9043, scimark_benchmark: 1322.1893, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.8228, kappa: 0.6442, kb_relative_information_score: 457.9678, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4982, number_of_instances: 1000, precision: 0.8229, predictive_accuracy: 0.823, prior_entropy: 0.9975, recall: 0.823, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7141, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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