OpenML
Supervised Classification on strikes

Supervised Classification on strikes

Task 4341 Supervised Classification strikes 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6249.9982, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9298, kappa: 0.8595, kb_relative_information_score: 4576.5188, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1, recall: 0.9298, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4818, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 944.1067, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 916.0735, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9741, kappa: 0.9482, kb_relative_information_score: 5370.1541, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 1, recall: 0.9741, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3204, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7013, kappa: 0.4127, kb_relative_information_score: 1579.2556, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7203, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8662, scimark_benchmark: 941.3142, usercpu_time_millis: 4360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 941.3847, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 941.3847, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 5461.8531, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1, recall: 0.9861, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.271, scimark_benchmark: 947.1781, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6249.9982, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9298, kappa: 0.8595, kb_relative_information_score: 4576.5188, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1, recall: 0.9298, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4818, scimark_benchmark: 936.2574, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 927.2882, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.603, kappa: 0.3004, kb_relative_information_score: 1901.5992, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7937, predictive_accuracy: 0.6522, prior_entropy: 1, recall: 0.6522, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5898, root_relative_squared_error: 1.1796, scimark_benchmark: 934.5964, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9741, kappa: 0.9482, kb_relative_information_score: 5370.1541, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 1, recall: 0.9741, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3204, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7013, kappa: 0.4127, kb_relative_information_score: 1579.2556, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7203, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8662, scimark_benchmark: 905.2959, usercpu_time_millis: 4810, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 5461.8531, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1, recall: 0.9861, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.271, scimark_benchmark: 901.4991, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9611, kappa: 0.9222, kb_relative_information_score: 4153.9157, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9614, predictive_accuracy: 0.9611, prior_entropy: 1, recall: 0.9611, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.4782, scimark_benchmark: 943.6618, usercpu_time_millis: 2010, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9605, kappa: 0.9209, kb_relative_information_score: 4151.7162, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 1, recall: 0.9605, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.4808, scimark_benchmark: 906.5979, usercpu_time_millis: 1030, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9568, kappa: 0.9136, kb_relative_information_score: 4163.0117, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9572, predictive_accuracy: 0.9568, prior_entropy: 1, recall: 0.9568, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.4823, scimark_benchmark: 942.5233, usercpu_time_millis: 480, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9536, kappa: 0.9072, kb_relative_information_score: 4142.8284, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9538, predictive_accuracy: 0.9536, prior_entropy: 1, recall: 0.9536, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.4914, scimark_benchmark: 901.5805, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9379, kappa: 0.8758, kb_relative_information_score: 4097.312, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9382, predictive_accuracy: 0.9379, prior_entropy: 1, recall: 0.9379, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5144, scimark_benchmark: 939.7883, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9557, kappa: 0.9114, kb_relative_information_score: 5277.3944, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 1, recall: 0.9557, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3676, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9557, kappa: 0.9114, kb_relative_information_score: 5277.3944, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 1, recall: 0.9557, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3676, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9557, kappa: 0.9114, kb_relative_information_score: 5277.3944, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 1, recall: 0.9557, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3676, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9555, kappa: 0.911, kb_relative_information_score: 5273.8315, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 1, recall: 0.9555, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3684, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9158, kappa: 0.8319, kb_relative_information_score: 4778.3686, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9189, predictive_accuracy: 0.916, prior_entropy: 1, recall: 0.916, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4688, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.3378, kb_relative_information_score: -0.0641, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9661, kappa: 0.9322, kb_relative_information_score: 5741.0549, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9663, predictive_accuracy: 0.9661, prior_entropy: 1, recall: 0.9661, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3277, scimark_benchmark: 926.5859, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8437, kappa: 0.6874, kb_relative_information_score: 4331.7171, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.8438, predictive_accuracy: 0.8437, prior_entropy: 1, recall: 0.8437, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6649, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 5461.8531, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1, recall: 0.9861, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.271, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6175.8086, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0394, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7013, kappa: 0.4127, kb_relative_information_score: 1579.2556, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.7203, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.7741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8662, scimark_benchmark: 1309.2287, usercpu_time_millis: 2030, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 1320.8283, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9861, kappa: 0.9722, kb_relative_information_score: 5461.8531, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9861, predictive_accuracy: 0.9861, prior_entropy: 1, recall: 0.9861, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.271, scimark_benchmark: 1320.8283, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9215, kappa: 0.8433, kb_relative_information_score: 4221.661, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9253, predictive_accuracy: 0.9216, prior_entropy: 1, recall: 0.9216, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5067, scimark_benchmark: 1350.1007, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9298, kappa: 0.8595, kb_relative_information_score: 4576.5188, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 1, recall: 0.9298, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4818, scimark_benchmark: 1319.5773, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1323.3376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6230.5318, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6108.869, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 6250, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0666, scimark_benchmark: 1317.8359, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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