Task
Supervised Classification on fri_c2_250_5

Supervised Classification on fri_c2_250_5

Task 4479 Supervised Classification fri_c2_250_5 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.848, kappa: 0.6908, kb_relative_information_score: 1388.5701, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8482, predictive_accuracy: 0.8484, prior_entropy: 0.9898, recall: 0.8484, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7244, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8596, kappa: 0.7144, kb_relative_information_score: 1420.1962, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6783, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8733, kappa: 0.7425, kb_relative_information_score: 1677.5876, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8735, predictive_accuracy: 0.8736, prior_entropy: 0.9898, recall: 0.8736, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6633, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8563, kappa: 0.7095, kb_relative_information_score: 1764.6402, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8577, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8563, kappa: 0.7095, kb_relative_information_score: 1764.6402, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8577, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.868, kappa: 0.7315, kb_relative_information_score: 1516.8126, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8684, predictive_accuracy: 0.8684, prior_entropy: 0.9898, recall: 0.8684, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6354, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7294, kappa: 0.4569, kb_relative_information_score: 749.4576, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7357, predictive_accuracy: 0.7284, prior_entropy: 0.9898, recall: 0.7284, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8512, scimark_benchmark: 938.9588, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8355, kappa: 0.666, kb_relative_information_score: 1464.807, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9898, recall: 0.8356, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7562, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8563, kappa: 0.7095, kb_relative_information_score: 1764.6402, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8577, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8563, kappa: 0.7095, kb_relative_information_score: 1764.6402, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8577, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, scimark_benchmark: 944.1783, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8928, kappa: 0.7818, kb_relative_information_score: 1721.6656, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9898, recall: 0.8932, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5419, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.848, kappa: 0.6908, kb_relative_information_score: 1388.5701, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8482, predictive_accuracy: 0.8484, prior_entropy: 0.9898, recall: 0.8484, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7244, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8596, kappa: 0.7144, kb_relative_information_score: 1420.1962, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6783, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8733, kappa: 0.7425, kb_relative_information_score: 1677.5876, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8735, predictive_accuracy: 0.8736, prior_entropy: 0.9898, recall: 0.8736, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6633, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8563, kappa: 0.7095, kb_relative_information_score: 1764.6402, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8577, predictive_accuracy: 0.856, prior_entropy: 0.9898, recall: 0.856, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7645, scimark_benchmark: 904.5548, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.868, kappa: 0.7315, kb_relative_information_score: 1516.8126, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8684, predictive_accuracy: 0.8684, prior_entropy: 0.9898, recall: 0.8684, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6354, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7294, kappa: 0.4569, kb_relative_information_score: 749.4576, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7357, predictive_accuracy: 0.7284, prior_entropy: 0.9898, recall: 0.7284, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8512, scimark_benchmark: 938.4601, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8355, kappa: 0.666, kb_relative_information_score: 1464.807, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9898, recall: 0.8356, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7562, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8928, kappa: 0.7818, kb_relative_information_score: 1721.6656, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9898, recall: 0.8932, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5419, scimark_benchmark: 938.988, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8981, kappa: 0.7934, kb_relative_information_score: 1555.0231, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8983, predictive_accuracy: 0.898, prior_entropy: 0.9898, recall: 0.898, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5607, scimark_benchmark: 908.9569, usercpu_time_millis: 1200, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8933, kappa: 0.7839, kb_relative_information_score: 1534.9231, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8938, predictive_accuracy: 0.8932, prior_entropy: 0.9898, recall: 0.8932, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.283, root_relative_squared_error: 0.5701, scimark_benchmark: 934.695, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8952, kappa: 0.7875, kb_relative_information_score: 1544.5293, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9898, recall: 0.8952, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5687, scimark_benchmark: 593.4115, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8853, kappa: 0.7677, kb_relative_information_score: 1523.6827, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8857, predictive_accuracy: 0.8852, prior_entropy: 0.9898, recall: 0.8852, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5826, scimark_benchmark: 891.6381, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8806, kappa: 0.7582, kb_relative_information_score: 1501.2545, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8812, predictive_accuracy: 0.8804, prior_entropy: 0.9898, recall: 0.8804, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6008, scimark_benchmark: 914.3583, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.832, kappa: 0.6583, kb_relative_information_score: 1404.7519, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8321, predictive_accuracy: 0.8324, prior_entropy: 0.9898, recall: 0.8324, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7208, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.832, kappa: 0.6583, kb_relative_information_score: 1404.7519, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8321, predictive_accuracy: 0.8324, prior_entropy: 0.9898, recall: 0.8324, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7208, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.832, kappa: 0.6583, kb_relative_information_score: 1404.7519, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8321, predictive_accuracy: 0.8324, prior_entropy: 0.9898, recall: 0.8324, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7208, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8312, kappa: 0.6567, kb_relative_information_score: 1401.8021, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9898, recall: 0.8316, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7224, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.822, kappa: 0.6381, kb_relative_information_score: 1330.8187, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.822, predictive_accuracy: 0.8224, prior_entropy: 0.9898, recall: 0.8224, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7377, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8822, kappa: 0.7607, kb_relative_information_score: 1891.8822, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8823, predictive_accuracy: 0.8824, prior_entropy: 0.9898, recall: 0.8824, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6541, scimark_benchmark: 926.5859, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7294, kappa: 0.4569, kb_relative_information_score: 749.4576, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.7357, predictive_accuracy: 0.7284, prior_entropy: 0.9898, recall: 0.7284, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8512, scimark_benchmark: 1332.7986, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8355, kappa: 0.666, kb_relative_information_score: 1464.807, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9898, recall: 0.8356, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7562, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8928, kappa: 0.7818, kb_relative_information_score: 1721.6656, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9898, recall: 0.8932, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5419, scimark_benchmark: 1313.5633, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.6774, kappa: 0.3468, kb_relative_information_score: 663.8846, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6783, predictive_accuracy: 0.6768, prior_entropy: 0.9898, recall: 0.6768, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8841, scimark_benchmark: 1334.863, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8596, kappa: 0.7144, kb_relative_information_score: 1420.1962, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9898, recall: 0.86, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6783, scimark_benchmark: 1320.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8733, kappa: 0.7425, kb_relative_information_score: 1677.5876, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8735, predictive_accuracy: 0.8736, prior_entropy: 0.9898, recall: 0.8736, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6633, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.8386, kappa: 0.6729, kb_relative_information_score: 1467.986, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.839, predictive_accuracy: 0.8384, prior_entropy: 0.9898, recall: 0.8384, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7406, scimark_benchmark: 1352.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.8412, kappa: 0.6777, kb_relative_information_score: 1449.033, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8412, predictive_accuracy: 0.8412, prior_entropy: 0.9898, recall: 0.8412, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7169, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8355, kappa: 0.666, kb_relative_information_score: 1464.807, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9898, recall: 0.8356, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7562, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8928, kappa: 0.7818, kb_relative_information_score: 1721.6656, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9898, recall: 0.8932, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5419, scimark_benchmark: 1313.9976, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.848, kappa: 0.6908, kb_relative_information_score: 1388.5701, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8482, predictive_accuracy: 0.8484, prior_entropy: 0.9898, recall: 0.8484, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7244, scimark_benchmark: 1325.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8355, kappa: 0.666, kb_relative_information_score: 1464.807, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8354, predictive_accuracy: 0.8356, prior_entropy: 0.9898, recall: 0.8356, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7562, scimark_benchmark: 1331.0107, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8928, kappa: 0.7818, kb_relative_information_score: 1721.6656, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8937, predictive_accuracy: 0.8932, prior_entropy: 0.9898, recall: 0.8932, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5419, scimark_benchmark: 1333.202, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

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