Task
Supervised Classification on meta_instanceincremental.arff

Supervised Classification on meta_instanceincremental.arff

Task 2355 Supervised Classification meta_instanceincremental.arff 310 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7963, kappa: 0.5949, kb_relative_information_score: 10.3587, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7632, predictive_accuracy: 0.8333, prior_entropy: 1.3146, recall: 0.8333, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8055, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8117, kappa: 0.573, kb_relative_information_score: 14.3079, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.8781, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.7943, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7286, kappa: 0.3814, kb_relative_information_score: 10.322, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.714, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9527, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.3855, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7461, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.5874, kb_relative_information_score: 7.8611, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5017, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8508, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8981, kappa: 0.7949, kb_relative_information_score: 14.6515, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.9254, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5788, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7286, kappa: 0.3814, kb_relative_information_score: 10.322, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.714, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9527, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 14.3917, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7357, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8981, kappa: 0.7949, kb_relative_information_score: 14.6515, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.9254, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5788, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7963, kappa: 0.5949, kb_relative_information_score: 10.3587, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7632, predictive_accuracy: 0.8333, prior_entropy: 1.3146, recall: 0.8333, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8055, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7286, kappa: 0.3814, kb_relative_information_score: 10.322, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.714, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9527, 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: 0.7679, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.3855, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7461, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.5874, kb_relative_information_score: 7.8611, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5017, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8508, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 14.3917, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7357, scimark_benchmark: 935.5664, usercpu_time_millis: 2520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8981, kappa: 0.7949, kb_relative_information_score: 14.6515, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.9254, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5788, scimark_benchmark: 917.5013, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 15.2698, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5544, scimark_benchmark: 933.3455, usercpu_time_millis: 2840, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 15.1974, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.5645, scimark_benchmark: 943.6618, usercpu_time_millis: 1350, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 15.8519, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5398, scimark_benchmark: 896.2424, usercpu_time_millis: 770, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 15.3472, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.575, scimark_benchmark: 939.7883, usercpu_time_millis: 380, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9148, kappa: 0.8161, kb_relative_information_score: 14.5513, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.925, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5824, 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: 0.5874, kb_relative_information_score: -0.191, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5017, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3405, root_relative_squared_error: 1.005, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.6021, kappa: 0.0919, kb_relative_information_score: 4.8627, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5236, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9011, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.6021, kappa: 0.0919, kb_relative_information_score: 4.8627, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5236, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9011, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.6021, kappa: 0.0919, kb_relative_information_score: 4.8627, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5236, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9011, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.6021, kappa: 0.0919, kb_relative_information_score: 6.0079, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5236, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3598, root_relative_squared_error: 1.0621, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.6021, kappa: 0.0919, kb_relative_information_score: 5.7128, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5236, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.0594, 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: 0.5874, kb_relative_information_score: 5.5122, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5017, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3819, root_relative_squared_error: 1.1272, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9148, kappa: 0.8161, kb_relative_information_score: 14.8923, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.925, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.584, scimark_benchmark: 936.7184, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 11.3736, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7558, scimark_benchmark: 1339.5666, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8117, kappa: 0.573, kb_relative_information_score: 14.3079, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.8781, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.7943, scimark_benchmark: 1346.0226, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 12.8032, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.6852, scimark_benchmark: 1337.4384, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7286, kappa: 0.3814, kb_relative_information_score: 10.322, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.714, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9527, scimark_benchmark: 1314.1215, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.5874, kb_relative_information_score: 7.8611, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.5017, predictive_accuracy: 0.7083, prior_entropy: 1.3146, recall: 0.7083, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8508, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8117, kappa: 0.573, kb_relative_information_score: 14.3079, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.8781, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.7943, scimark_benchmark: 1364.991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 1397.3209, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: 14.3917, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7357, scimark_benchmark: 1348.2804, usercpu_time_millis: 1440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7129, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.7354, scimark_benchmark: 1359.7293, usercpu_time_millis: 250, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.7286, kappa: 0.3814, kb_relative_information_score: 10.322, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.714, predictive_accuracy: 0.7917, prior_entropy: 1.3146, recall: 0.7917, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.9527, scimark_benchmark: 1314.0283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.3855, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7461, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8981, kappa: 0.7949, kb_relative_information_score: 14.6515, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.9254, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5788, scimark_benchmark: 1260.1387, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8981, kappa: 0.7949, kb_relative_information_score: 14.6515, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.9254, predictive_accuracy: 0.9167, prior_entropy: 1.3146, recall: 0.9167, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5788, scimark_benchmark: 1326.8946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7963, kappa: 0.5949, kb_relative_information_score: 10.3587, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7632, predictive_accuracy: 0.8333, prior_entropy: 1.3146, recall: 0.8333, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8055, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.3855, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7461, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7963, kappa: 0.5949, kb_relative_information_score: 10.3587, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7632, predictive_accuracy: 0.8333, prior_entropy: 1.3146, recall: 0.8333, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.8055, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8176, kappa: 0.6727, kb_relative_information_score: 10.7164, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.7688, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.7355, scimark_benchmark: 933.1165, 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

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From your own software

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

OpenML APIs