Task
Supervised Classification on fried

Supervised Classification on fried

Task 4469 Supervised Classification fried 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8732, kappa: 0.7463, kb_relative_information_score: 269161.3864, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 1, recall: 0.8732, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6292, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 182447.2341, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8494, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6929, scimark_benchmark: 972.587, usercpu_time_millis: 9820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8501, kappa: 0.7002, kb_relative_information_score: 230578.2975, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8501, predictive_accuracy: 0.8501, prior_entropy: 1, recall: 0.8501, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6445, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 904.0772, usercpu_time_millis: 187680, usercpu_time_millis_testing: 67920, usercpu_time_millis_training: 119760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 938.191, usercpu_time_millis: 390, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9152, kappa: 0.8305, kb_relative_information_score: 304014.9971, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9152, predictive_accuracy: 0.9152, prior_entropy: 1, recall: 0.9152, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.248, root_relative_squared_error: 0.496, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215444.0769, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6263, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9226, kappa: 0.8451, kb_relative_information_score: 303571.9576, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9226, predictive_accuracy: 0.9226, prior_entropy: 1, recall: 0.9226, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 938.5498, usercpu_time_millis: 271180, usercpu_time_millis_testing: 120030, usercpu_time_millis_training: 151150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 974.2014, usercpu_time_millis: 342970, usercpu_time_millis_testing: 176590, usercpu_time_millis_training: 166380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 932.438, usercpu_time_millis: 490, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 941.3847, usercpu_time_millis: 410, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 974.2014, usercpu_time_millis: 770, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9226, kappa: 0.8451, kb_relative_information_score: 303571.9576, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9226, predictive_accuracy: 0.9226, prior_entropy: 1, recall: 0.9226, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795, scimark_benchmark: 943.1009, usercpu_time_millis: 29180, usercpu_time_millis_testing: 2760, usercpu_time_millis_training: 26420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8732, kappa: 0.7463, kb_relative_information_score: 269161.3864, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 1, recall: 0.8732, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6292, scimark_benchmark: 942.2392, usercpu_time_millis: 680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 182447.2341, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8494, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6929, scimark_benchmark: 908.9569, usercpu_time_millis: 12970, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 12930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8501, kappa: 0.7002, kb_relative_information_score: 230578.2975, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8501, predictive_accuracy: 0.8501, prior_entropy: 1, recall: 0.8501, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6445, scimark_benchmark: 940.1541, usercpu_time_millis: 16780, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 16740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 943.6618, usercpu_time_millis: 239210, usercpu_time_millis_testing: 120390, usercpu_time_millis_training: 118820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 936.2574, usercpu_time_millis: 197660, usercpu_time_millis_testing: 60320, usercpu_time_millis_training: 137340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215482.571, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6262, scimark_benchmark: 930.404, usercpu_time_millis: 450, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 938.1282, usercpu_time_millis: 430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 933.3455, usercpu_time_millis: 500, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9152, kappa: 0.8305, kb_relative_information_score: 304014.9971, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9152, predictive_accuracy: 0.9152, prior_entropy: 1, recall: 0.9152, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.248, root_relative_squared_error: 0.496, scimark_benchmark: 903.2737, usercpu_time_millis: 6090, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 5920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 944.0133, usercpu_time_millis: 590, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215444.0769, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6263, scimark_benchmark: 932.438, usercpu_time_millis: 2280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9226, kappa: 0.8451, kb_relative_information_score: 303571.9576, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9226, predictive_accuracy: 0.9226, prior_entropy: 1, recall: 0.9226, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795, scimark_benchmark: 936.9595, usercpu_time_millis: 32040, usercpu_time_millis_testing: 3280, usercpu_time_millis_training: 28760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9266, kappa: 0.8533, kb_relative_information_score: 291804.456, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9266, predictive_accuracy: 0.9266, prior_entropy: 1, recall: 0.9266, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.4838, scimark_benchmark: 945.6228, usercpu_time_millis: 1203890, usercpu_time_millis_testing: 87070, usercpu_time_millis_training: 1116820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9252, kappa: 0.8504, kb_relative_information_score: 291102.7609, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9252, predictive_accuracy: 0.9252, prior_entropy: 1, recall: 0.9252, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.4865, scimark_benchmark: 906.5979, usercpu_time_millis: 707710, usercpu_time_millis_testing: 28690, usercpu_time_millis_training: 679020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9198, kappa: 0.8396, kb_relative_information_score: 289945.7455, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9198, predictive_accuracy: 0.9198, prior_entropy: 1, recall: 0.9198, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.4972, scimark_benchmark: 931.6751, usercpu_time_millis: 161260, usercpu_time_millis_testing: 5520, usercpu_time_millis_training: 155740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9148, kappa: 0.8296, kb_relative_information_score: 290195.8266, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9148, predictive_accuracy: 0.9148, prior_entropy: 1, recall: 0.9148, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.5071, scimark_benchmark: 945.5968, usercpu_time_millis: 72240, usercpu_time_millis_testing: 2560, usercpu_time_millis_training: 69680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8818, kappa: 0.7637, kb_relative_information_score: 274460.2402, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8819, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5779, scimark_benchmark: 889.4922, usercpu_time_millis: 3760, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8818, kappa: 0.7637, kb_relative_information_score: 274460.2402, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8819, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5779, scimark_benchmark: 889.4922, usercpu_time_millis: 4350, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8818, kappa: 0.7637, kb_relative_information_score: 274460.2402, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8819, predictive_accuracy: 0.8818, prior_entropy: 1, recall: 0.8818, relative_absolute_error: 0.3476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5779, scimark_benchmark: 929.0296, usercpu_time_millis: 3730, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8799, kappa: 0.7598, kb_relative_information_score: 271334.8162, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8799, predictive_accuracy: 0.8799, prior_entropy: 1, recall: 0.8799, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.292, root_relative_squared_error: 0.584, scimark_benchmark: 929.0296, usercpu_time_millis: 4650, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 237192.5808, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.855, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6432, scimark_benchmark: 926.5859, usercpu_time_millis: 1630, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1570,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8878, kappa: 0.7756, kb_relative_information_score: 310787.3103, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8878, predictive_accuracy: 0.8878, prior_entropy: 1, recall: 0.8878, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.5974, scimark_benchmark: 936.1714, usercpu_time_millis: 30210, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 29930,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9226, kappa: 0.8451, kb_relative_information_score: 303571.9576, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9226, predictive_accuracy: 0.9226, prior_entropy: 1, recall: 0.9226, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795, scimark_benchmark: 1331.2559, usercpu_time_millis: 35860, usercpu_time_millis_testing: 4630, usercpu_time_millis_training: 31230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8501, kappa: 0.7002, kb_relative_information_score: 230578.2975, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8501, predictive_accuracy: 0.8501, prior_entropy: 1, recall: 0.8501, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6445, scimark_benchmark: 1336.0954, usercpu_time_millis: 15290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 15260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1340.9749, usercpu_time_millis: 270, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1340.9749, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1340.9749, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1325.8468, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1342.6744, usercpu_time_millis: 360, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215482.571, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6262, scimark_benchmark: 1349.1517, usercpu_time_millis: 370, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1306.9281, usercpu_time_millis: 410, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 1351.1238, usercpu_time_millis: 319550, usercpu_time_millis_testing: 107030, usercpu_time_millis_training: 212520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215482.571, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6262, scimark_benchmark: 1318.4315, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1324.7884, usercpu_time_millis: 400, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1324.7884, usercpu_time_millis: 410, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1322.3407, usercpu_time_millis: 360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1316.6799, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1325.4787, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1332.7986, usercpu_time_millis: 360, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215444.0769, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6263, scimark_benchmark: 1335.5309, usercpu_time_millis: 1890, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9226, kappa: 0.8451, kb_relative_information_score: 303571.9576, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9226, predictive_accuracy: 0.9226, prior_entropy: 1, recall: 0.9226, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4795, scimark_benchmark: 1310.6554, usercpu_time_millis: 24360, usercpu_time_millis_testing: 2350, usercpu_time_millis_training: 22010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8501, kappa: 0.7002, kb_relative_information_score: 230578.2975, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8501, predictive_accuracy: 0.8501, prior_entropy: 1, recall: 0.8501, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6445, scimark_benchmark: 1330.4755, usercpu_time_millis: 24710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 24670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8899, kappa: 0.7797, kb_relative_information_score: 317877.4234, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8899, predictive_accuracy: 0.8899, prior_entropy: 1, recall: 0.8899, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6637, scimark_benchmark: 1320.8283, usercpu_time_millis: 224080, usercpu_time_millis_testing: 107520, usercpu_time_millis_training: 116560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9095, kappa: 0.819, kb_relative_information_score: 314464.967, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.9095, predictive_accuracy: 0.9095, prior_entropy: 1, recall: 0.9095, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5168, scimark_benchmark: 1316.5668, usercpu_time_millis: 53030, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 52980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215482.571, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6262, scimark_benchmark: 1371.174, usercpu_time_millis: 460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8967, kappa: 0.7935, kb_relative_information_score: 227623.7001, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8967, predictive_accuracy: 0.8967, prior_entropy: 1, recall: 0.8967, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6037, scimark_benchmark: 1333.1149, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215444.0769, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6263, scimark_benchmark: 1342.4614, usercpu_time_millis: 1860, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8732, kappa: 0.7463, kb_relative_information_score: 269161.3864, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 1, recall: 0.8732, relative_absolute_error: 0.3625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6292, scimark_benchmark: 1349.9643, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 182447.2341, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8494, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6929, scimark_benchmark: 1351.5471, usercpu_time_millis: 7940, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8906, kappa: 0.7812, kb_relative_information_score: 215444.0769, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.5, number_of_instances: 407680, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1, recall: 0.8906, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6263, scimark_benchmark: 1363.7016, usercpu_time_millis: 1840, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1600,

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