Task
Supervised Classification on analcatdata_apnea2

Supervised Classification on analcatdata_apnea2

Task 4336 Supervised Classification analcatdata_apnea2 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9368, kappa: 0.7312, kb_relative_information_score: 3054.7953, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9374, predictive_accuracy: 0.9362, prior_entropy: 0.5744, recall: 0.9362, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5876, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9413, kappa: 0.7504, kb_relative_information_score: 1506.9149, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9419, predictive_accuracy: 0.9408, prior_entropy: 0.5744, recall: 0.9408, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.6571, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9305, kappa: 0.6999, kb_relative_information_score: 2552.3333, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9301, predictive_accuracy: 0.9309, prior_entropy: 0.5744, recall: 0.9309, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6444, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8096, kappa: 0.0371, kb_relative_information_score: 1325.1607, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.8471, predictive_accuracy: 0.8672, prior_entropy: 0.5744, recall: 0.8672, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0674, scimark_benchmark: 944.1067, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8096, kappa: 0.0371, kb_relative_information_score: 1325.1607, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.8471, predictive_accuracy: 0.8672, prior_entropy: 0.5744, recall: 0.8672, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0674, scimark_benchmark: 916.0735, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9431, kappa: 0.7573, kb_relative_information_score: 3017.0791, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.5744, recall: 0.9427, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5991, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9437, kappa: 0.7618, kb_relative_information_score: 2891.0316, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9447, predictive_accuracy: 0.9429, prior_entropy: 0.5744, recall: 0.9429, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5875, scimark_benchmark: 934.3687, usercpu_time_millis: 1760, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9353, kappa: 0.7245, kb_relative_information_score: 2954.736, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9358, predictive_accuracy: 0.9349, prior_entropy: 0.5744, recall: 0.9349, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5966, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8096, kappa: 0.0371, kb_relative_information_score: 1325.1607, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.8471, predictive_accuracy: 0.8672, prior_entropy: 0.5744, recall: 0.8672, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0674, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8096, kappa: 0.0371, kb_relative_information_score: 1325.1607, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.8471, predictive_accuracy: 0.8672, prior_entropy: 0.5744, recall: 0.8672, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0674, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9235, kappa: 0.6635, kb_relative_information_score: 2684.3128, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9224, predictive_accuracy: 0.9255, prior_entropy: 0.5744, recall: 0.9255, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.693, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9368, kappa: 0.7312, kb_relative_information_score: 3054.7953, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9374, predictive_accuracy: 0.9362, prior_entropy: 0.5744, recall: 0.9362, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5876, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9413, kappa: 0.7504, kb_relative_information_score: 1506.9149, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9419, predictive_accuracy: 0.9408, prior_entropy: 0.5744, recall: 0.9408, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.6571, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9305, kappa: 0.6999, kb_relative_information_score: 2552.3333, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9301, predictive_accuracy: 0.9309, prior_entropy: 0.5744, recall: 0.9309, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6444, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8096, kappa: 0.0371, kb_relative_information_score: 1325.1607, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.8471, predictive_accuracy: 0.8672, prior_entropy: 0.5744, recall: 0.8672, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0674, scimark_benchmark: 927.2882, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.8096, kappa: 0.0371, kb_relative_information_score: 1325.1607, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.8471, predictive_accuracy: 0.8672, prior_entropy: 0.5744, recall: 0.8672, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3645, root_relative_squared_error: 1.0674, scimark_benchmark: 934.5964, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9431, kappa: 0.7573, kb_relative_information_score: 3017.0791, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.5744, recall: 0.9427, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5991, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9353, kappa: 0.7245, kb_relative_information_score: 2954.736, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9358, predictive_accuracy: 0.9349, prior_entropy: 0.5744, recall: 0.9349, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5966, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9235, kappa: 0.6635, kb_relative_information_score: 2684.3128, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9224, predictive_accuracy: 0.9255, prior_entropy: 0.5744, recall: 0.9255, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.693, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9317, kappa: 0.7032, kb_relative_information_score: 2783.2839, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.931, predictive_accuracy: 0.9326, prior_entropy: 0.5744, recall: 0.9326, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6287, scimark_benchmark: 943.6618, usercpu_time_millis: 990, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9346, kappa: 0.7174, kb_relative_information_score: 2779.2476, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9342, predictive_accuracy: 0.9352, prior_entropy: 0.5744, recall: 0.9352, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.63, scimark_benchmark: 933.3455, usercpu_time_millis: 470, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9328, kappa: 0.7081, kb_relative_information_score: 2775.3902, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9321, predictive_accuracy: 0.9337, prior_entropy: 0.5744, recall: 0.9337, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6316, scimark_benchmark: 929.7512, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9333, kappa: 0.7112, kb_relative_information_score: 2766.0471, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9328, predictive_accuracy: 0.9339, prior_entropy: 0.5744, recall: 0.9339, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.6339, scimark_benchmark: 901.5805, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.9322, kappa: 0.705, kb_relative_information_score: 2756.1856, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9315, predictive_accuracy: 0.9333, prior_entropy: 0.5744, recall: 0.9333, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.6379, scimark_benchmark: 939.7883, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9229, kappa: 0.6504, kb_relative_information_score: 2028.1677, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9234, predictive_accuracy: 0.9278, prior_entropy: 0.5744, recall: 0.9278, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.6739, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9229, kappa: 0.6504, kb_relative_information_score: 2028.1677, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9234, predictive_accuracy: 0.9278, prior_entropy: 0.5744, recall: 0.9278, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.6739, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9226, kappa: 0.6491, kb_relative_information_score: 2026.6808, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9231, predictive_accuracy: 0.9276, prior_entropy: 0.5744, recall: 0.9276, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.6744, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9257, kappa: 0.6631, kb_relative_information_score: 2024.3487, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9263, predictive_accuracy: 0.9303, prior_entropy: 0.5744, recall: 0.9303, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.6727, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9255, kappa: 0.6606, kb_relative_information_score: 1989.427, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.927, predictive_accuracy: 0.9307, prior_entropy: 0.5744, recall: 0.9307, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.6808, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.8028, kb_relative_information_score: -34.3343, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3415, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8754, kappa: 0.3908, kb_relative_information_score: 2414.2949, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9003, predictive_accuracy: 0.8994, prior_entropy: 0.5744, recall: 0.8994, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.276, root_relative_squared_error: 0.8083, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9353, kappa: 0.7245, kb_relative_information_score: 2954.736, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9358, predictive_accuracy: 0.9349, prior_entropy: 0.5744, recall: 0.9349, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5966, scimark_benchmark: 1317.2327, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9437, kappa: 0.7618, kb_relative_information_score: 2891.0316, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9447, predictive_accuracy: 0.9429, prior_entropy: 0.5744, recall: 0.9429, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5875, scimark_benchmark: 1309.2287, usercpu_time_millis: 570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 540,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9305, kappa: 0.6999, kb_relative_information_score: 2552.3333, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9301, predictive_accuracy: 0.9309, prior_entropy: 0.5744, recall: 0.9309, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6444, scimark_benchmark: 1358.6198, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9229, kappa: 0.6528, kb_relative_information_score: 2517.8935, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9227, predictive_accuracy: 0.9272, prior_entropy: 0.5744, recall: 0.9272, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.6442, scimark_benchmark: 1321.8321,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 1342.2845,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9431, kappa: 0.7573, kb_relative_information_score: 3017.0791, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.5744, recall: 0.9427, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5991, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9393, kappa: 0.7431, kb_relative_information_score: 2886.5617, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9403, predictive_accuracy: 0.9385, prior_entropy: 0.5744, recall: 0.9385, relative_absolute_error: 0.3857, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5893, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9353, kappa: 0.7245, kb_relative_information_score: 2954.736, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9358, predictive_accuracy: 0.9349, prior_entropy: 0.5744, recall: 0.9349, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5966, scimark_benchmark: 1317.6232, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9235, kappa: 0.6635, kb_relative_information_score: 2684.3128, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9224, predictive_accuracy: 0.9255, prior_entropy: 0.5744, recall: 0.9255, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.693, scimark_benchmark: 1354.5533, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9305, kappa: 0.6999, kb_relative_information_score: 2552.3333, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.2343, number_of_instances: 4750, precision: 0.9301, predictive_accuracy: 0.9309, prior_entropy: 0.5744, recall: 0.9309, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.22, root_relative_squared_error: 0.6444, scimark_benchmark: 1325.3966, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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