Task
Supervised Classification on tae

Supervised Classification on tae

Task 3818 Supervised Classification tae 803 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7205, kappa: 0.3784, kb_relative_information_score: 31.4456, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7194, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9801, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 927.2917, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 943.1009, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.704, kappa: 0.3365, kb_relative_information_score: 19.4334, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7017, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9323, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6956, kappa: 0.3106, kb_relative_information_score: 23.08, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6958, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9348, scimark_benchmark: 1051.249, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7881, kappa: 0.5307, kb_relative_information_score: 53.2564, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 0.9308, recall: 0.7881, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8665, scimark_benchmark: 917.5013, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 33.4813, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8913, scimark_benchmark: 901.6243, usercpu_time_millis: 410, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7749, f_measure: 0.75, kappa: 0.4323, kb_relative_information_score: 33.9291, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7693, predictive_accuracy: 0.7682, prior_entropy: 0.9308, recall: 0.7682, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8869, scimark_benchmark: 938.988, usercpu_time_millis: 210, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.71, kappa: 0.3416, kb_relative_information_score: 32.5734, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7185, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9011, scimark_benchmark: 938.3401, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7618, kappa: 0.4593, kb_relative_information_score: 37.9246, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7902, predictive_accuracy: 0.7815, prior_entropy: 0.9308, recall: 0.7815, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8691, scimark_benchmark: 908.4147, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7184, kappa: 0.3608, kb_relative_information_score: 32.047, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7261, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9069, scimark_benchmark: 899.1108, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 32.2812, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9424, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 32.2812, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9424, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.707, kappa: 0.3355, kb_relative_information_score: 32.2812, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7103, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.9424, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7184, kappa: 0.3608, kb_relative_information_score: 32.9103, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7261, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9364, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.6817, kappa: 0.2793, kb_relative_information_score: 23.3986, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6809, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9744, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -0.1809, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.6817, kappa: 0.2774, kb_relative_information_score: 46.7068, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6865, predictive_accuracy: 0.702, prior_entropy: 0.9308, recall: 0.702, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0575, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7041, kappa: 0.3282, kb_relative_information_score: 46.5471, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7212, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0638, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.6423, kappa: 0.1888, kb_relative_information_score: 37.9208, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6513, predictive_accuracy: 0.6755, prior_entropy: 0.9308, recall: 0.6755, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.102, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.6484, kappa: 0.2055, kb_relative_information_score: 39.9267, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6706, predictive_accuracy: 0.6887, prior_entropy: 0.9308, recall: 0.6887, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5209, root_relative_squared_error: 1.0963, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.5982, kappa: 0.0946, kb_relative_information_score: 34.6017, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6078, predictive_accuracy: 0.649, prior_entropy: 0.9308, recall: 0.649, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.1271, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6865, kappa: 0.2931, kb_relative_information_score: 29.5335, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.684, predictive_accuracy: 0.6954, prior_entropy: 0.9308, recall: 0.6954, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9228, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7205, kappa: 0.3784, kb_relative_information_score: 31.4456, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7194, predictive_accuracy: 0.7219, prior_entropy: 0.9308, recall: 0.7219, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9801, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7441, kappa: 0.419, kb_relative_information_score: 67.8157, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7596, predictive_accuracy: 0.7616, prior_entropy: 0.9308, recall: 0.7616, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4883, root_relative_squared_error: 1.0276, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.7098, kappa: 0.3486, kb_relative_information_score: 21.2894, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7076, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9769, scimark_benchmark: 1317.2327, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.6979, kappa: 0.3173, kb_relative_information_score: 19.165, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6969, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9589, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.704, kappa: 0.3365, kb_relative_information_score: 19.4334, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7017, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9323, scimark_benchmark: 1274.7011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 23.0992, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9431, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.6956, kappa: 0.3106, kb_relative_information_score: 23.08, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.6958, predictive_accuracy: 0.7086, prior_entropy: 0.9308, recall: 0.7086, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9348, scimark_benchmark: 1334.8032, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.7215, kappa: 0.3729, kb_relative_information_score: 22.1598, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4522, number_of_instances: 151, precision: 0.7201, predictive_accuracy: 0.7285, prior_entropy: 0.9308, recall: 0.7285, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9443, scimark_benchmark: 1306.9281,

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