Task
Supervised Classification on meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2353 Supervised Classification meta_batchincremental.arff 302 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7153, kappa: 0.2821, kb_relative_information_score: 4.5191, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7402, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1576, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.625, kappa: -0.08, kb_relative_information_score: 0.8848, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.625, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3104, root_relative_squared_error: 1.0028, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0331, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9414, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.9091, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.0331, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 3.955, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3296, root_relative_squared_error: 1.0649, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0331, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9414, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.625, kappa: -0.08, kb_relative_information_score: 0.8848, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.625, predictive_accuracy: 0.625, prior_entropy: 1.3842, recall: 0.625, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3104, root_relative_squared_error: 1.0028, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 3.955, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3296, root_relative_squared_error: 1.0649, scimark_benchmark: 945.6228, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0331, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9414, scimark_benchmark: 917.5013, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7097, kappa: 0.2759, kb_relative_information_score: 3.3392, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7342, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9703, scimark_benchmark: 933.3455, usercpu_time_millis: 2560, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7097, kappa: 0.2759, kb_relative_information_score: 2.7846, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7342, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.9947, scimark_benchmark: 943.6618, usercpu_time_millis: 1380, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0576, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.921, scimark_benchmark: 896.2424, usercpu_time_millis: 810, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.1548, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.9731, scimark_benchmark: 939.7883, usercpu_time_millis: 370, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 3.3273, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.983, scimark_benchmark: 938.3115, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -2.407, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0945, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.322, root_relative_squared_error: 1.0403, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6333, kappa: -0.1429, kb_relative_information_score: -6.1349, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6032, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 1.3411, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3622, root_relative_squared_error: 1.1704, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6333, kappa: -0.1429, kb_relative_information_score: -6.1349, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6032, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 1.3411, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3622, root_relative_squared_error: 1.1704, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6333, kappa: -0.1429, kb_relative_information_score: -6.1349, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6032, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 1.3411, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3622, root_relative_squared_error: 1.1704, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6333, kappa: -0.1429, kb_relative_information_score: -6.1349, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6032, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 1.3411, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3622, root_relative_squared_error: 1.1704, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7259, kappa: 0.2174, kb_relative_information_score: 5.5586, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7042, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.6346, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.9622, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: 7.5067, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.6814, kappa: 0.3143, kb_relative_information_score: 0.7355, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7726, predictive_accuracy: 0.6667, prior_entropy: 1.3842, recall: 0.6667, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3371, root_relative_squared_error: 1.0893, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7468, kappa: 0.4194, kb_relative_information_score: 3.2796, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7891, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3136, root_relative_squared_error: 1.0133, scimark_benchmark: 936.7184, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6053, f_measure: 0.6996, kb_relative_information_score: -2.1796, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0838, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3238, root_relative_squared_error: 1.0462, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7153, kappa: 0.2821, kb_relative_information_score: 4.5191, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7402, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1576, scimark_benchmark: 875.9128, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 946.6409, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7153, kappa: 0.2821, kb_relative_information_score: 4.5191, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7402, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1576, scimark_benchmark: 1346.0226, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 1342.4614, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1332.3382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1364.5528, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1299.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.2671, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.026, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 3.955, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3296, root_relative_squared_error: 1.0649, scimark_benchmark: 1348.2804, usercpu_time_millis: 970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0331, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9414, scimark_benchmark: 1360.6367, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1370.3901, usercpu_time_millis: 270, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7451, kappa: 0.2105, kb_relative_information_score: 7.8023, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7102, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3227, root_relative_squared_error: 1.0428, scimark_benchmark: 1314.0283, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0331, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9414, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.9091, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.0331, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7402, kappa: 0.3333, kb_relative_information_score: 4.0331, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7454, predictive_accuracy: 0.75, prior_entropy: 1.3842, recall: 0.75, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.9414, scimark_benchmark: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7097, kappa: 0.2759, kb_relative_information_score: 5.2421, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7342, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3506, root_relative_squared_error: 1.1329, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.9091, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.0331, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6996, kb_relative_information_score: -1.597, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.6267, predictive_accuracy: 0.7917, prior_entropy: 1.3842, recall: 0.7917, relative_absolute_error: 1.0608, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3186, root_relative_squared_error: 1.0295, scimark_benchmark: 918.0213,

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