Task
Supervised Classification on fri_c3_100_25

Supervised Classification on fri_c3_100_25

Task 4339 Supervised Classification fri_c3_100_25 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4364, f_measure: 0.3892, kappa: -0.0191, kb_relative_information_score: -12.9809, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3644, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0174, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.716, kappa: 0.4251, kb_relative_information_score: 304.1315, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7161, predictive_accuracy: 0.717, prior_entropy: 0.9931, recall: 0.717, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9172, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.707, kappa: 0.407, kb_relative_information_score: 366.8775, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 0.9931, recall: 0.708, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9909, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.6132, kappa: 0.2203, kb_relative_information_score: 235.1573, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.623, prior_entropy: 0.9931, recall: 0.623, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2342, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.6132, kappa: 0.2203, kb_relative_information_score: 235.1573, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.623, prior_entropy: 0.9931, recall: 0.623, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2342, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6429, kappa: 0.2801, kb_relative_information_score: 147.3372, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6521, predictive_accuracy: 0.652, prior_entropy: 0.9931, recall: 0.652, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.93, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6362, kappa: 0.2633, kb_relative_information_score: 175.9701, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9931, recall: 0.638, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0002, scimark_benchmark: 938.191, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.726, kappa: 0.4465, kb_relative_information_score: 374.7275, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.726, prior_entropy: 0.9931, recall: 0.726, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9332, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.6132, kappa: 0.2203, kb_relative_information_score: 235.1573, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.623, prior_entropy: 0.9931, recall: 0.623, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2342, 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: 0.6076, f_measure: 0.6132, kappa: 0.2203, kb_relative_information_score: 235.1573, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.623, prior_entropy: 0.9931, recall: 0.623, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2342, 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: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.871, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7015, kappa: 0.3956, kb_relative_information_score: 158.1645, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.705, prior_entropy: 0.9931, recall: 0.705, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9015, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4364, f_measure: 0.3892, kappa: -0.0191, kb_relative_information_score: -12.9809, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3644, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0174, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.716, kappa: 0.4251, kb_relative_information_score: 304.1315, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7161, predictive_accuracy: 0.717, prior_entropy: 0.9931, recall: 0.717, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9172, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.707, kappa: 0.407, kb_relative_information_score: 366.8775, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 0.9931, recall: 0.708, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9909, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.6132, kappa: 0.2203, kb_relative_information_score: 235.1573, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.623, prior_entropy: 0.9931, recall: 0.623, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2342, scimark_benchmark: 927.2882, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.6132, kappa: 0.2203, kb_relative_information_score: 235.1573, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.623, prior_entropy: 0.9931, recall: 0.623, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.614, root_relative_squared_error: 1.2342, scimark_benchmark: 934.5964, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6429, kappa: 0.2801, kb_relative_information_score: 147.3372, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6521, predictive_accuracy: 0.652, prior_entropy: 0.9931, recall: 0.652, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.93, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6362, kappa: 0.2633, kb_relative_information_score: 175.9701, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9931, recall: 0.638, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0002, scimark_benchmark: 905.2959, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.726, kappa: 0.4465, kb_relative_information_score: 374.7275, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.726, prior_entropy: 0.9931, recall: 0.726, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9332, scimark_benchmark: 932.438, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7015, kappa: 0.3956, kb_relative_information_score: 158.1645, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.705, prior_entropy: 0.9931, recall: 0.705, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9015, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.6927, kappa: 0.3782, kb_relative_information_score: 160.4822, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.697, predictive_accuracy: 0.697, prior_entropy: 0.9931, recall: 0.697, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9074, scimark_benchmark: 1171.0303, usercpu_time_millis: 2390, usercpu_time_millis_testing: 1080, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.6832, kappa: 0.3591, kb_relative_information_score: 154.2651, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6879, predictive_accuracy: 0.688, prior_entropy: 0.9931, recall: 0.688, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9161, scimark_benchmark: 943.6618, usercpu_time_millis: 790, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.6706, kappa: 0.3331, kb_relative_information_score: 150.6368, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6726, predictive_accuracy: 0.674, prior_entropy: 0.9931, recall: 0.674, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.921, scimark_benchmark: 929.7512, usercpu_time_millis: 290, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.6581, kappa: 0.3082, kb_relative_information_score: 140.3913, mean_absolute_error: 0.4359, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6617, predictive_accuracy: 0.663, prior_entropy: 0.9931, recall: 0.663, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9373, scimark_benchmark: 938.8535, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6494, kappa: 0.2902, kb_relative_information_score: 144.7406, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6493, predictive_accuracy: 0.651, prior_entropy: 0.9931, recall: 0.651, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9484, scimark_benchmark: 862.7006, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6836, kappa: 0.3592, kb_relative_information_score: 351.9248, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6847, predictive_accuracy: 0.686, prior_entropy: 0.9931, recall: 0.686, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0708, scimark_benchmark: 889.4922, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.6747, kappa: 0.3412, kb_relative_information_score: 333.8084, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6755, predictive_accuracy: 0.677, prior_entropy: 0.9931, recall: 0.677, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0824, scimark_benchmark: 889.4922, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.6867, kappa: 0.3654, kb_relative_information_score: 338.6215, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6877, predictive_accuracy: 0.689, prior_entropy: 0.9931, recall: 0.689, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0493, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.6699, kappa: 0.3314, kb_relative_information_score: 317.2588, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6704, predictive_accuracy: 0.672, prior_entropy: 0.9931, recall: 0.672, relative_absolute_error: 0.6859, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0122, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.6696, kappa: 0.3309, kb_relative_information_score: 267.8991, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6704, predictive_accuracy: 0.672, prior_entropy: 0.9931, recall: 0.672, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9836, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3903, kb_relative_information_score: -1.7743, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3025, predictive_accuracy: 0.55, prior_entropy: 0.9931, recall: 0.55, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0012, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7021, kappa: 0.397, kb_relative_information_score: 400.2096, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7062, predictive_accuracy: 0.706, prior_entropy: 0.9931, recall: 0.706, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0467, scimark_benchmark: 936.1714, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6908, kappa: 0.3747, kb_relative_information_score: 380.8062, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6968, predictive_accuracy: 0.696, prior_entropy: 0.9931, recall: 0.696, relative_absolute_error: 0.6189, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0398, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4364, f_measure: 0.3892, kappa: -0.0191, kb_relative_information_score: -12.9809, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3644, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0174, scimark_benchmark: 1310.3168,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6362, kappa: 0.2633, kb_relative_information_score: 175.9701, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9931, recall: 0.638, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0002, scimark_benchmark: 1309.2287, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7015, kappa: 0.3956, kb_relative_information_score: 158.1645, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.705, prior_entropy: 0.9931, recall: 0.705, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9015, scimark_benchmark: 1338.1299, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.438, f_measure: 0.3896, kappa: -0.0171, kb_relative_information_score: -14.902, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3696, predictive_accuracy: 0.541, prior_entropy: 0.9931, recall: 0.541, relative_absolute_error: 1.0134, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0203, scimark_benchmark: 1325.4787,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.726, kappa: 0.4465, kb_relative_information_score: 374.7275, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.726, predictive_accuracy: 0.726, prior_entropy: 0.9931, recall: 0.726, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9332, scimark_benchmark: 1322.1893, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7015, kappa: 0.3956, kb_relative_information_score: 158.1645, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7048, predictive_accuracy: 0.705, prior_entropy: 0.9931, recall: 0.705, relative_absolute_error: 0.8691, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9015, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4364, f_measure: 0.3892, kappa: -0.0191, kb_relative_information_score: -12.9809, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.3644, predictive_accuracy: 0.54, prior_entropy: 0.9931, recall: 0.54, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0174, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.716, kappa: 0.4251, kb_relative_information_score: 304.1315, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.7161, predictive_accuracy: 0.717, prior_entropy: 0.9931, recall: 0.717, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9172, scimark_benchmark: 1320.1171, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6986, kappa: 0.3897, kb_relative_information_score: 372.5115, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4951, number_of_instances: 1000, precision: 0.6989, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0698, scimark_benchmark: 1321.4771, 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

OpenML bootcamp

From your own software

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

OpenML APIs