Task
Supervised Classification on fri_c4_1000_25

Supervised Classification on fri_c4_1000_25

Task 4294 Supervised Classification fri_c4_1000_25 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8785, kappa: 0.7547, kb_relative_information_score: 6568.4465, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8784, predictive_accuracy: 0.8785, prior_entropy: 0.9936, recall: 0.8785, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6431, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8755, kappa: 0.7488, kb_relative_information_score: 5069.6266, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8755, predictive_accuracy: 0.8755, prior_entropy: 0.9936, recall: 0.8755, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6604, scimark_benchmark: 972.587, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8769, kappa: 0.752, kb_relative_information_score: 6236.5491, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8774, predictive_accuracy: 0.8768, prior_entropy: 0.9936, recall: 0.8768, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6299, scimark_benchmark: 934.3687, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 931.771, usercpu_time_millis: 940, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 944.1067, usercpu_time_millis: 600, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8113, kappa: 0.6187, kb_relative_information_score: 5669.1287, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9936, recall: 0.8116, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6783, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8862, kappa: 0.7702, kb_relative_information_score: 6501.0502, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8862, predictive_accuracy: 0.8863, prior_entropy: 0.9936, recall: 0.8863, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5819, scimark_benchmark: 938.191, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6542, kappa: 0.3014, kb_relative_information_score: 2055.7175, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6539, predictive_accuracy: 0.6548, prior_entropy: 0.9936, recall: 0.6548, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9452, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8637, kappa: 0.7249, kb_relative_information_score: 6474.4178, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8637, predictive_accuracy: 0.8637, prior_entropy: 0.9936, recall: 0.8637, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.332, root_relative_squared_error: 0.667, scimark_benchmark: 927.2917, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 932.438, usercpu_time_millis: 620, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 941.3847, usercpu_time_millis: 540, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8113, kappa: 0.6187, kb_relative_information_score: 5669.1287, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9936, recall: 0.8116, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6783, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8977, kappa: 0.7933, kb_relative_information_score: 5201.8921, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8978, predictive_accuracy: 0.8978, prior_entropy: 0.9936, recall: 0.8978, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6312, scimark_benchmark: 947.1781, usercpu_time_millis: 520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8785, kappa: 0.7547, kb_relative_information_score: 6568.4465, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8784, predictive_accuracy: 0.8785, prior_entropy: 0.9936, recall: 0.8785, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6431, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8755, kappa: 0.7488, kb_relative_information_score: 5069.6266, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8755, predictive_accuracy: 0.8755, prior_entropy: 0.9936, recall: 0.8755, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6604, scimark_benchmark: 908.9569, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8769, kappa: 0.752, kb_relative_information_score: 6236.5491, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8774, predictive_accuracy: 0.8768, prior_entropy: 0.9936, recall: 0.8768, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6299, scimark_benchmark: 938.1282, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 927.2882, usercpu_time_millis: 730, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 859.5223, usercpu_time_millis: 670, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, 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: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, 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: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8862, kappa: 0.7702, kb_relative_information_score: 6501.0502, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8862, predictive_accuracy: 0.8863, prior_entropy: 0.9936, recall: 0.8863, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5819, scimark_benchmark: 930.404, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6542, kappa: 0.3014, kb_relative_information_score: 2055.7175, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6539, predictive_accuracy: 0.6548, prior_entropy: 0.9936, recall: 0.6548, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9452, scimark_benchmark: 935.5664, usercpu_time_millis: 56530, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 56280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8637, kappa: 0.7249, kb_relative_information_score: 6474.4178, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8637, predictive_accuracy: 0.8637, prior_entropy: 0.9936, recall: 0.8637, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.332, root_relative_squared_error: 0.667, scimark_benchmark: 730.6551, usercpu_time_millis: 650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8977, kappa: 0.7933, kb_relative_information_score: 5201.8921, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8978, predictive_accuracy: 0.8978, prior_entropy: 0.9936, recall: 0.8978, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6312, scimark_benchmark: 901.4991, usercpu_time_millis: 520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8798, kappa: 0.757, kb_relative_information_score: 4098.1813, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9936, recall: 0.88, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7085, scimark_benchmark: 870.2101, usercpu_time_millis: 20150, usercpu_time_millis_testing: 7560, usercpu_time_millis_training: 12590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8754, kappa: 0.7482, kb_relative_information_score: 4082.8785, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8756, predictive_accuracy: 0.8756, prior_entropy: 0.9936, recall: 0.8756, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7107, scimark_benchmark: 932.438, usercpu_time_millis: 8330, usercpu_time_millis_testing: 3170, usercpu_time_millis_training: 5160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8663, kappa: 0.7301, kb_relative_information_score: 4073.0985, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9936, recall: 0.8665, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7151, scimark_benchmark: 938.8535, usercpu_time_millis: 3210, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8542, kappa: 0.7056, kb_relative_information_score: 4045.0516, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8543, predictive_accuracy: 0.8544, prior_entropy: 0.9936, recall: 0.8544, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7237, scimark_benchmark: 910.2405, usercpu_time_millis: 1530, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8261, kappa: 0.6488, kb_relative_information_score: 3939.1724, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.826, predictive_accuracy: 0.8262, prior_entropy: 0.9936, recall: 0.8262, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7426, scimark_benchmark: 911.2316, usercpu_time_millis: 840, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8827, kappa: 0.7632, kb_relative_information_score: 6973.2584, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 0.9936, recall: 0.8828, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5939, scimark_benchmark: 941.9549, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8827, kappa: 0.7632, kb_relative_information_score: 6973.2584, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 0.9936, recall: 0.8828, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.5939, scimark_benchmark: 941.9549, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6542, kappa: 0.3014, kb_relative_information_score: 2055.7174, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6539, predictive_accuracy: 0.6548, prior_entropy: 0.9936, recall: 0.6548, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9452, scimark_benchmark: 1286.2211, usercpu_time_millis: 39930, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 39720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1331.7953, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8113, kappa: 0.6187, kb_relative_information_score: 5669.1287, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9936, recall: 0.8116, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6783, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8785, kappa: 0.7547, kb_relative_information_score: 6568.4465, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8784, predictive_accuracy: 0.8785, prior_entropy: 0.9936, recall: 0.8785, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6431, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.668, kappa: 0.329, kb_relative_information_score: 3294.9035, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6679, predictive_accuracy: 0.669, prior_entropy: 0.9936, recall: 0.669, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.1558, scimark_benchmark: 1313.8988, usercpu_time_millis: 470, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8113, kappa: 0.6187, kb_relative_information_score: 5669.1287, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9936, recall: 0.8116, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6783, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1366.7181, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8113, kappa: 0.6187, kb_relative_information_score: 5669.1287, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9936, recall: 0.8116, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6783, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1347.1763, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6542, kappa: 0.3014, kb_relative_information_score: 2055.7174, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6539, predictive_accuracy: 0.6548, prior_entropy: 0.9936, recall: 0.6548, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9452, scimark_benchmark: 1349.9643, usercpu_time_millis: 32980, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 32770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8397, kappa: 0.6774, kb_relative_information_score: 5873.5151, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8407, predictive_accuracy: 0.8395, prior_entropy: 0.9936, recall: 0.8395, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6561, scimark_benchmark: 1317.5348, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8637, kappa: 0.7249, kb_relative_information_score: 6474.4178, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8637, predictive_accuracy: 0.8637, prior_entropy: 0.9936, recall: 0.8637, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.332, root_relative_squared_error: 0.667, scimark_benchmark: 1335.3312, usercpu_time_millis: 400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8977, kappa: 0.7933, kb_relative_information_score: 5201.8921, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8978, predictive_accuracy: 0.8978, prior_entropy: 0.9936, recall: 0.8978, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6312, scimark_benchmark: 1310.6554, usercpu_time_millis: 450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8623, kappa: 0.722, kb_relative_information_score: 7106.4512, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8623, predictive_accuracy: 0.8624, prior_entropy: 0.9936, recall: 0.8624, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7304, scimark_benchmark: 1318.6467, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8769, kappa: 0.752, kb_relative_information_score: 6236.5491, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8774, predictive_accuracy: 0.8768, prior_entropy: 0.9936, recall: 0.8768, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6299, scimark_benchmark: 1309.4708, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8897, kappa: 0.7773, kb_relative_information_score: 7172.5352, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8896, predictive_accuracy: 0.8897, prior_entropy: 0.9936, recall: 0.8897, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5874, scimark_benchmark: 1317.7919, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6542, kappa: 0.3014, kb_relative_information_score: 2055.7174, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.6539, predictive_accuracy: 0.6548, prior_entropy: 0.9936, recall: 0.6548, relative_absolute_error: 0.8099, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9452, scimark_benchmark: 1296.9979, usercpu_time_millis: 65130, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 64930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8113, kappa: 0.6187, kb_relative_information_score: 5669.1287, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4956, number_of_instances: 10000, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9936, recall: 0.8116, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6783, scimark_benchmark: 1342.9012, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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