Task
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 1932 Supervised Classification heart-statlog 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8174, kappa: 0.6295, kb_relative_information_score: 1404.976, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8175, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8, kappa: 0.5949, kb_relative_information_score: 1219.4583, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7514, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5866, kb_relative_information_score: 1368.0117, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.796, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7778, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 941.3142, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7996, kappa: 0.593, kb_relative_information_score: 1218.7002, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8008, predictive_accuracy: 0.8007, prior_entropy: 0.9912, recall: 0.8007, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7478, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8216, kappa: 0.6379, kb_relative_information_score: 1487.7058, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7204, scimark_benchmark: 943.8235, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8253, kappa: 0.6459, kb_relative_information_score: 1656.7446, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 1391.6472, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7862, scimark_benchmark: 947.1781, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8174, kappa: 0.6295, kb_relative_information_score: 1404.976, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8175, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8, kappa: 0.5949, kb_relative_information_score: 1219.4583, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7514, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5866, kb_relative_information_score: 1368.0117, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.796, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7778, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 730.6551, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 906.0979, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8253, kappa: 0.6459, kb_relative_information_score: 1656.7446, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7996, kappa: 0.593, kb_relative_information_score: 1218.7002, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8008, predictive_accuracy: 0.8007, prior_entropy: 0.9912, recall: 0.8007, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7478, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8216, kappa: 0.6379, kb_relative_information_score: 1487.7058, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7204, scimark_benchmark: 906.0979, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 1391.6472, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7862, scimark_benchmark: 936.3213, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 901.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8413, kappa: 0.678, kb_relative_information_score: 1394.1872, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8418, predictive_accuracy: 0.8419, prior_entropy: 0.9912, recall: 0.8419, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7016, scimark_benchmark: 940.1221, usercpu_time_millis: 1970, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.841, kappa: 0.6774, kb_relative_information_score: 1387.398, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8414, predictive_accuracy: 0.8415, prior_entropy: 0.9912, recall: 0.8415, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7065, scimark_benchmark: 942.2392, usercpu_time_millis: 1240, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.837, kappa: 0.6693, kb_relative_information_score: 1392.9507, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8372, predictive_accuracy: 0.8374, prior_entropy: 0.9912, recall: 0.8374, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7063, scimark_benchmark: 917.2109, usercpu_time_millis: 370, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8295, kappa: 0.6542, kb_relative_information_score: 1378.7493, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9912, recall: 0.83, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7155, scimark_benchmark: 942.5233, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8151, kappa: 0.6248, kb_relative_information_score: 1360.1308, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8152, predictive_accuracy: 0.8156, prior_entropy: 0.9912, recall: 0.8156, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7322, scimark_benchmark: 935.6052, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8138, kappa: 0.6225, kb_relative_information_score: 1498.1419, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8138, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7548, 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: 0.8837, f_measure: 0.8138, kappa: 0.6225, kb_relative_information_score: 1498.1419, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8138, predictive_accuracy: 0.8141, prior_entropy: 0.9912, recall: 0.8141, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7548, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8216, kappa: 0.6379, kb_relative_information_score: 1487.705, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7204, scimark_benchmark: 1316.6741, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.8174, kappa: 0.6295, kb_relative_information_score: 1404.976, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8175, predictive_accuracy: 0.8178, prior_entropy: 0.9912, recall: 0.8178, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7829, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7996, kappa: 0.593, kb_relative_information_score: 1218.7002, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8008, predictive_accuracy: 0.8007, prior_entropy: 0.9912, recall: 0.8007, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7478, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 1391.6472, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7862, scimark_benchmark: 1320.8283, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8227, kappa: 0.6401, kb_relative_information_score: 1309.1619, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8232, predictive_accuracy: 0.8233, prior_entropy: 0.9912, recall: 0.8233, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7202, scimark_benchmark: 1310.6554, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, f_measure: 0.8125, kappa: 0.6198, kb_relative_information_score: 1552.9373, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8126, predictive_accuracy: 0.813, prior_entropy: 0.9912, recall: 0.813, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7948, scimark_benchmark: 1350.4825, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7824, kappa: 0.5582, kb_relative_information_score: 1359.9545, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7829, predictive_accuracy: 0.7833, prior_entropy: 0.9912, recall: 0.7833, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8738, scimark_benchmark: 1318.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7961, kappa: 0.5866, kb_relative_information_score: 1368.0117, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.796, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7778, scimark_benchmark: 1344.0499, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1328.1785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1324.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7996, kappa: 0.593, kb_relative_information_score: 1218.7002, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8008, predictive_accuracy: 0.8007, prior_entropy: 0.9912, recall: 0.8007, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7478, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8216, kappa: 0.6379, kb_relative_information_score: 1487.705, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7204, scimark_benchmark: 1342.6744, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8, kappa: 0.5949, kb_relative_information_score: 1219.4583, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7514, scimark_benchmark: 1360.0477, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.8068, kappa: 0.608, kb_relative_information_score: 1391.6472, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8071, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7862, scimark_benchmark: 1316.7198, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8253, kappa: 0.6458, kb_relative_information_score: 1606.3561, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7069, scimark_benchmark: 1354.5533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.4026, kappa: 0.0065, kb_relative_information_score: 271.2259, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.7539, predictive_accuracy: 0.5581, prior_entropy: 0.9912, recall: 0.5581, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6647, root_relative_squared_error: 1.3377, scimark_benchmark: 1375.1578, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8253, kappa: 0.6459, kb_relative_information_score: 1656.7446, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8253, predictive_accuracy: 0.8256, prior_entropy: 0.9912, recall: 0.8256, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7333, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8265, kappa: 0.6484, kb_relative_information_score: 1632.939, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.8264, predictive_accuracy: 0.8267, prior_entropy: 0.9912, recall: 0.8267, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7152, scimark_benchmark: 1260.1387,

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