OpenML
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 1915 Supervised Classification dermatology 163 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.953, kappa: 0.9409, kb_relative_information_score: 3403.9132, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9533, predictive_accuracy: 0.9527, prior_entropy: 2.4378, recall: 0.9527, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3067, scimark_benchmark: 851.2074, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 916.0735, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9242, kappa: 0.9051, kb_relative_information_score: 3202.1586, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9256, predictive_accuracy: 0.9246, prior_entropy: 2.4378, recall: 0.9246, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3753, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 937.5117, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9592, kappa: 0.9487, kb_relative_information_score: 3478.6338, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2853, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9533, kappa: 0.9412, kb_relative_information_score: 3404.8232, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9536, predictive_accuracy: 0.953, prior_entropy: 2.4378, recall: 0.953, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.306, scimark_benchmark: 936.2574, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 730.6551, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 938.1282, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9242, kappa: 0.9051, kb_relative_information_score: 3202.1586, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9256, predictive_accuracy: 0.9246, prior_entropy: 2.4378, recall: 0.9246, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3753, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9592, kappa: 0.9487, kb_relative_information_score: 3478.6338, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9595, predictive_accuracy: 0.959, prior_entropy: 2.4378, recall: 0.959, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2853, scimark_benchmark: 936.3213, usercpu_time_millis: 2140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1051.249, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9819, kappa: 0.9774, kb_relative_information_score: 3444.586, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 2.4378, recall: 0.982, relative_absolute_error: 0.0913, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2237, scimark_benchmark: 920.2531, usercpu_time_millis: 10940, usercpu_time_millis_testing: 4620, usercpu_time_millis_training: 6320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9814, kappa: 0.9767, kb_relative_information_score: 3443.9475, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9815, predictive_accuracy: 0.9814, prior_entropy: 2.4378, recall: 0.9814, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.2256, scimark_benchmark: 931.7096, usercpu_time_millis: 5670, usercpu_time_millis_testing: 2380, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9811, kappa: 0.9764, kb_relative_information_score: 3446.7805, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 2.4378, recall: 0.9811, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.2266, scimark_benchmark: 921.2615, usercpu_time_millis: 2790, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9825, kappa: 0.9781, kb_relative_information_score: 3445.3399, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 2.4378, recall: 0.9825, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2319, scimark_benchmark: 896.2181, usercpu_time_millis: 1370, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9767, kappa: 0.9709, kb_relative_information_score: 3437.0512, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9767, predictive_accuracy: 0.9768, prior_entropy: 2.4378, recall: 0.9768, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.245, scimark_benchmark: 936.7184, usercpu_time_millis: 610, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.1434, kb_relative_information_score: 2.7039, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1434, kb_relative_information_score: 534.8204, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.0936, predictive_accuracy: 0.306, prior_entropy: 2.4378, recall: 0.306, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.481, root_relative_squared_error: 1.3182, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1333.9912, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1274.7011, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1354.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8203, kappa: 0.7904, kb_relative_information_score: 2893.6199, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.8647, predictive_accuracy: 0.8339, prior_entropy: 2.4378, recall: 0.8339, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6449, scimark_benchmark: 1318.2298, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9793, kappa: 0.974, kb_relative_information_score: 3569.0744, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9802, predictive_accuracy: 0.9792, prior_entropy: 2.4378, recall: 0.9792, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.182, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9806, kappa: 0.9757, kb_relative_information_score: 3572.6222, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9816, predictive_accuracy: 0.9806, prior_entropy: 2.4378, recall: 0.9806, relative_absolute_error: 0.0307, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1779, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9684, kappa: 0.9606, kb_relative_information_score: 3239.6054, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 2.4378, recall: 0.9686, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.3143, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9434, kappa: 0.9289, kb_relative_information_score: 3395.8565, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9439, predictive_accuracy: 0.9432, prior_entropy: 2.4378, recall: 0.9432, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.331, scimark_benchmark: 942.9708, usercpu_time_millis: 560, usercpu_time_millis_testing: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9468, kappa: 0.933, kb_relative_information_score: 3374.7575, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9475, predictive_accuracy: 0.9464, prior_entropy: 2.4378, recall: 0.9464, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3642, scimark_benchmark: 1340.1351, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.929, kappa: 0.911, kb_relative_information_score: 3214.5117, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9311, predictive_accuracy: 0.9292, prior_entropy: 2.4378, recall: 0.9292, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.3634, scimark_benchmark: 892.0148, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.97, kappa: 0.9627, kb_relative_information_score: 3516.7603, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.97, predictive_accuracy: 0.9702, prior_entropy: 2.4378, recall: 0.9702, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2521, scimark_benchmark: 1315.933, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9674, kappa: 0.9596, kb_relative_information_score: 3164.2732, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.968, predictive_accuracy: 0.9678, prior_entropy: 2.4378, recall: 0.9678, relative_absolute_error: 0.2191, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3451, scimark_benchmark: 1342.2985, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9645, kappa: 0.9558, kb_relative_information_score: 3169.9089, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9649, predictive_accuracy: 0.9648, prior_entropy: 2.4378, recall: 0.9648, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3447, scimark_benchmark: 1309.4998, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9781, kappa: 0.9726, kb_relative_information_score: 3568.6288, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9792, predictive_accuracy: 0.9781, prior_entropy: 2.4378, recall: 0.9781, relative_absolute_error: 0.032, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1823, scimark_benchmark: 882.7843, usercpu_time_millis: 500, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.349, kappa: 0.3366, kb_relative_information_score: 1330.7101, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.2766, predictive_accuracy: 0.4997, prior_entropy: 2.4378, recall: 0.4997, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.8754, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9756, kappa: 0.9696, kb_relative_information_score: 3481.5391, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9758, predictive_accuracy: 0.9757, prior_entropy: 2.4378, recall: 0.9757, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.2324, scimark_benchmark: 1368.9272, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9524, kappa: 0.9406, kb_relative_information_score: 3453.0025, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9527, predictive_accuracy: 0.9525, prior_entropy: 2.4378, recall: 0.9525, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.3355, scimark_benchmark: 1320.9026, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9276, kappa: 0.9092, kb_relative_information_score: 3210.5749, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9296, predictive_accuracy: 0.9279, prior_entropy: 2.4378, recall: 0.9279, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.3656, scimark_benchmark: 854.5188, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9375, kappa: 0.9217, kb_relative_information_score: 3361.3357, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.9377, predictive_accuracy: 0.9374, prior_entropy: 2.4378, recall: 0.9374, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3718, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9442, kappa: 0.9307, kb_relative_information_score: 3380.3143, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.2664, number_of_instances: 3660, precision: 0.945, predictive_accuracy: 0.9448, prior_entropy: 2.4378, recall: 0.9448, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.3412, scimark_benchmark: 1335.6393, 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

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From your own software

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

OpenML APIs