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Supervised Classification on fri_c0_1000_25

Supervised Classification on fri_c0_1000_25

Task 4419 Supervised Classification fri_c0_1000_25 187 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8142, kappa: 0.6284, kb_relative_information_score: 5325.8771, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8144, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8432, kappa: 0.6864, kb_relative_information_score: 4701.2725, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8432, prior_entropy: 1, recall: 0.8432, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6895, scimark_benchmark: 972.587, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8506, kappa: 0.7012, kb_relative_information_score: 5734.1735, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8508, predictive_accuracy: 0.8506, prior_entropy: 1, recall: 0.8506, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6495, scimark_benchmark: 934.3687, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 6615.8239, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227, scimark_benchmark: 931.771, usercpu_time_millis: 540, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 6615.8239, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227, scimark_benchmark: 944.1067, usercpu_time_millis: 480, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 5574.9287, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8419, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6651, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 5733.4275, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6853, scimark_benchmark: 938.9588, usercpu_time_millis: 14320, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 13870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8204, kappa: 0.6408, kb_relative_information_score: 5127.9918, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8204, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 6615.8239, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227, scimark_benchmark: 937.5117, usercpu_time_millis: 450, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 6615.8239, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227, scimark_benchmark: 974.2014, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.86, kappa: 0.7203, kb_relative_information_score: 4725.6158, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8601, prior_entropy: 1, recall: 0.8601, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6734, scimark_benchmark: 974.2014, usercpu_time_millis: 710, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8142, kappa: 0.6284, kb_relative_information_score: 5325.8771, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8144, predictive_accuracy: 0.8142, prior_entropy: 1, recall: 0.8142, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8432, kappa: 0.6864, kb_relative_information_score: 4701.2725, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8432, prior_entropy: 1, recall: 0.8432, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6895, scimark_benchmark: 908.9569, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8506, kappa: 0.7012, kb_relative_information_score: 5734.1735, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8508, predictive_accuracy: 0.8506, prior_entropy: 1, recall: 0.8506, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6495, scimark_benchmark: 936.2574, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 6615.8239, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8308, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227, scimark_benchmark: 926.5462, usercpu_time_millis: 640, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8249, kappa: 0.6499, kb_relative_information_score: 4664.4452, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8253, predictive_accuracy: 0.8249, prior_entropy: 1, recall: 0.8249, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.703, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, 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: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 5574.9287, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8419, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6651, scimark_benchmark: 903.2737, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 5733.4275, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6853, scimark_benchmark: 930.404, usercpu_time_millis: 9340, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 9080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, 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: 0.8896, f_measure: 0.8204, kappa: 0.6408, kb_relative_information_score: 5127.9918, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8204, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271, scimark_benchmark: 730.6551, usercpu_time_millis: 560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.86, kappa: 0.7203, kb_relative_information_score: 4725.6158, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8601, prior_entropy: 1, recall: 0.8601, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6734, scimark_benchmark: 936.9595, usercpu_time_millis: 520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8638, kappa: 0.7276, kb_relative_information_score: 4828.9951, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 1, recall: 0.8638, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6697, scimark_benchmark: 901.4991, usercpu_time_millis: 15640, usercpu_time_millis_testing: 5480, usercpu_time_millis_training: 10160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8577, kappa: 0.7154, kb_relative_information_score: 4818.9499, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8578, predictive_accuracy: 0.8577, prior_entropy: 1, recall: 0.8577, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.6729, scimark_benchmark: 906.5979, usercpu_time_millis: 8390, usercpu_time_millis_testing: 3150, usercpu_time_millis_training: 5240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8501, kappa: 0.7002, kb_relative_information_score: 4803.2618, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8502, predictive_accuracy: 0.8501, prior_entropy: 1, recall: 0.8501, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6776, scimark_benchmark: 905.3417, usercpu_time_millis: 3100, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.8435, kappa: 0.687, kb_relative_information_score: 4779.651, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8437, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6881, scimark_benchmark: 921.2615, usercpu_time_millis: 1560, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8254, kappa: 0.6508, kb_relative_information_score: 4699.9114, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8255, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7086, scimark_benchmark: 942.5233, usercpu_time_millis: 750, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8742, kappa: 0.7484, kb_relative_information_score: 6884.8242, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8742, predictive_accuracy: 0.8742, prior_entropy: 1, recall: 0.8742, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6001, scimark_benchmark: 929.0296, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8742, kappa: 0.7484, kb_relative_information_score: 6884.8242, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8742, predictive_accuracy: 0.8742, prior_entropy: 1, recall: 0.8742, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6001, scimark_benchmark: 941.9549, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8738, kappa: 0.7476, kb_relative_information_score: 6870.8879, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8738, predictive_accuracy: 0.8738, prior_entropy: 1, recall: 0.8738, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.5993, scimark_benchmark: 929.0296, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8798, kappa: 0.7596, kb_relative_information_score: 6796.5904, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8798, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.591, scimark_benchmark: 929.0296, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8547, kappa: 0.7097, kb_relative_information_score: 6050.6709, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8555, predictive_accuracy: 0.8548, prior_entropy: 1, recall: 0.8548, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6339, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3367, kb_relative_information_score: -0.1352, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8849, kappa: 0.7698, kb_relative_information_score: 7579.2308, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8851, predictive_accuracy: 0.8849, prior_entropy: 1, recall: 0.8849, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6153, scimark_benchmark: 936.1714, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8775, kappa: 0.7549, kb_relative_information_score: 7416.9688, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8779, predictive_accuracy: 0.8775, prior_entropy: 1, recall: 0.8775, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6246, scimark_benchmark: 941.9549, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.858, kappa: 0.7161, kb_relative_information_score: 6955.3006, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8586, predictive_accuracy: 0.8581, prior_entropy: 1, recall: 0.8581, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6571, scimark_benchmark: 935.6052, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1338.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8415, kappa: 0.6831, kb_relative_information_score: 5574.9287, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8419, predictive_accuracy: 0.8415, prior_entropy: 1, recall: 0.8415, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6651, scimark_benchmark: 1324.6442, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8373, kappa: 0.6746, kb_relative_information_score: 5733.4268, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8373, predictive_accuracy: 0.8373, prior_entropy: 1, recall: 0.8373, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6853, scimark_benchmark: 1313.11, usercpu_time_millis: 6960, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8204, kappa: 0.6408, kb_relative_information_score: 5127.9918, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8204, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271, scimark_benchmark: 1324.6442, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8249, kappa: 0.6499, kb_relative_information_score: 4664.4452, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8253, predictive_accuracy: 0.8249, prior_entropy: 1, recall: 0.8249, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.703, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1346.4374, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8204, kappa: 0.6408, kb_relative_information_score: 5127.9918, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8204, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271, scimark_benchmark: 1322.1893, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.86, kappa: 0.7203, kb_relative_information_score: 4725.6158, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8601, prior_entropy: 1, recall: 0.8601, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6734, scimark_benchmark: 1335.5309, usercpu_time_millis: 420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8192, kappa: 0.6384, kb_relative_information_score: 5351.682, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8192, predictive_accuracy: 0.8192, prior_entropy: 1, recall: 0.8192, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7101, scimark_benchmark: 1320.2063, usercpu_time_millis: 1340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8276, kappa: 0.6552, kb_relative_information_score: 6394.4405, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8277, predictive_accuracy: 0.8276, prior_entropy: 1, recall: 0.8276, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7849, scimark_benchmark: 1310.3168, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8173, kappa: 0.6346, kb_relative_information_score: 6194.2882, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8173, predictive_accuracy: 0.8173, prior_entropy: 1, recall: 0.8173, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8335, scimark_benchmark: 1321.4771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8506, kappa: 0.7012, kb_relative_information_score: 5734.1735, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8508, predictive_accuracy: 0.8506, prior_entropy: 1, recall: 0.8506, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6495, scimark_benchmark: 1342.2845, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8295, kappa: 0.659, kb_relative_information_score: 5320.5568, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8295, predictive_accuracy: 0.8295, prior_entropy: 1, recall: 0.8295, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7113, scimark_benchmark: 1367.3264, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1329.1398, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 4725.0808, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.824, predictive_accuracy: 0.8236, prior_entropy: 1, recall: 0.8236, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.701, scimark_benchmark: 1335.2363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8204, kappa: 0.6408, kb_relative_information_score: 5127.9918, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8204, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271, scimark_benchmark: 1317.8359, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.86, kappa: 0.7203, kb_relative_information_score: 4725.6158, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8614, predictive_accuracy: 0.8601, prior_entropy: 1, recall: 0.8601, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6734, scimark_benchmark: 1332.7986, usercpu_time_millis: 430, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 390,

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