OpenML
Supervised Classification on cmc

Supervised Classification on cmc

Task 1903 Supervised Classification cmc 174 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.4996, kappa: 0.2257, kb_relative_information_score: 2967.5913, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5058, predictive_accuracy: 0.5009, prior_entropy: 1.5392, recall: 0.5009, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9697, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.5549, kappa: 0.3098, kb_relative_information_score: 3480.7517, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5664, predictive_accuracy: 0.5575, prior_entropy: 1.5392, recall: 0.5575, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197, scimark_benchmark: 851.2074, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 916.0735, usercpu_time_millis: 780, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 941.6675, usercpu_time_millis: 840, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.5303, kappa: 0.2704, kb_relative_information_score: 3474.5527, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5298, predictive_accuracy: 0.5325, prior_entropy: 1.5392, recall: 0.5325, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9385, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 931.771, usercpu_time_millis: 480, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 932.438, usercpu_time_millis: 780, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.5092, kappa: 0.2475, kb_relative_information_score: 3533.3758, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5188, predictive_accuracy: 0.505, prior_entropy: 1.5392, recall: 0.505, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9749, scimark_benchmark: 938.5498, usercpu_time_millis: 1030, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 943.1009, usercpu_time_millis: 500, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.4996, kappa: 0.2257, kb_relative_information_score: 2967.5913, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5058, predictive_accuracy: 0.5009, prior_entropy: 1.5392, recall: 0.5009, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9697, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.5549, kappa: 0.3098, kb_relative_information_score: 3480.7517, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5664, predictive_accuracy: 0.5575, prior_entropy: 1.5392, recall: 0.5575, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197, scimark_benchmark: 608.4057, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 908.9569, usercpu_time_millis: 750, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5094, kappa: 0.2516, kb_relative_information_score: 3523.8438, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5244, predictive_accuracy: 0.5044, prior_entropy: 1.5392, recall: 0.5044, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9674, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, f_measure: 0.5303, kappa: 0.2704, kb_relative_information_score: 3474.5527, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5298, predictive_accuracy: 0.5325, prior_entropy: 1.5392, recall: 0.5325, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9385, scimark_benchmark: 933.3455, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.5092, kappa: 0.2475, kb_relative_information_score: 3533.3758, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5188, predictive_accuracy: 0.505, prior_entropy: 1.5392, recall: 0.505, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9749, scimark_benchmark: 936.3213, usercpu_time_millis: 1040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 936.9595, usercpu_time_millis: 590, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.5389, kappa: 0.2845, kb_relative_information_score: 3523.4472, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5378, predictive_accuracy: 0.5413, prior_entropy: 1.5392, recall: 0.5413, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9322, scimark_benchmark: 851.2074, usercpu_time_millis: 26670, usercpu_time_millis_testing: 8080, usercpu_time_millis_training: 18590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.5373, kappa: 0.2818, kb_relative_information_score: 3522.8006, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5362, predictive_accuracy: 0.5399, prior_entropy: 1.5392, recall: 0.5399, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9335, scimark_benchmark: 859.5223, usercpu_time_millis: 8000, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 7100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.5304, kappa: 0.2713, kb_relative_information_score: 3511.9361, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5292, predictive_accuracy: 0.5329, prior_entropy: 1.5392, recall: 0.5329, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9368, scimark_benchmark: 944.235, usercpu_time_millis: 4180, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.531, kappa: 0.2725, kb_relative_information_score: 3539.23, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5297, predictive_accuracy: 0.5331, prior_entropy: 1.5392, recall: 0.5331, relative_absolute_error: 0.8312, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9397, scimark_benchmark: 945.5968, usercpu_time_millis: 1960, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.5253, kappa: 0.2638, kb_relative_information_score: 3502.3951, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5241, predictive_accuracy: 0.5274, prior_entropy: 1.5392, recall: 0.5274, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9497, scimark_benchmark: 926.5859, usercpu_time_millis: 1150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.2556, kb_relative_information_score: 56.1333, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2556, kb_relative_information_score: 919.7562, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9745, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2556, kb_relative_information_score: 2178.1957, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.53, kappa: 0.2691, kb_relative_information_score: 3378.4942, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5312, predictive_accuracy: 0.5324, prior_entropy: 1.5392, recall: 0.5324, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9429, scimark_benchmark: 906.0884, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.499, kappa: 0.2249, kb_relative_information_score: 2674.0003, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.4988, predictive_accuracy: 0.4994, prior_entropy: 1.5392, recall: 0.4994, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9518, scimark_benchmark: 943.4741, usercpu_time_millis: 1780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1760,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.4996, kappa: 0.2257, kb_relative_information_score: 2967.5913, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5058, predictive_accuracy: 0.5009, prior_entropy: 1.5392, recall: 0.5009, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9697, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.5092, kappa: 0.2475, kb_relative_information_score: 3533.3758, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5188, predictive_accuracy: 0.505, prior_entropy: 1.5392, recall: 0.505, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9749, scimark_benchmark: 1321.6503, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.5549, kappa: 0.3098, kb_relative_information_score: 3480.7517, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5664, predictive_accuracy: 0.5575, prior_entropy: 1.5392, recall: 0.5575, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9197, scimark_benchmark: 1345.7919, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 1342.6744, usercpu_time_millis: 750, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1316.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1345.0034, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1324.2313, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 1360.0477, usercpu_time_millis: 620, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.5403, kappa: 0.2856, kb_relative_information_score: 3448.2073, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5403, predictive_accuracy: 0.5427, prior_entropy: 1.5392, recall: 0.5427, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9279, scimark_benchmark: 940.3347, usercpu_time_millis: 720, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1337.797, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 1340.5125, usercpu_time_millis: 390, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.515, kappa: 0.2543, kb_relative_information_score: 3198.2118, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5257, predictive_accuracy: 0.511, prior_entropy: 1.5392, recall: 0.511, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9419, scimark_benchmark: 1363.1824, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 1354.5533, usercpu_time_millis: 750, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.5049, kappa: 0.2316, kb_relative_information_score: 3494.7657, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5034, predictive_accuracy: 0.5077, prior_entropy: 1.5392, recall: 0.5077, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9879, scimark_benchmark: 1281.7531, usercpu_time_millis: 570, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5094, kappa: 0.2516, kb_relative_information_score: 3523.8438, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5244, predictive_accuracy: 0.5044, prior_entropy: 1.5392, recall: 0.5044, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9674, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.5097, kappa: 0.2415, kb_relative_information_score: 3939.5456, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5116, predictive_accuracy: 0.5083, prior_entropy: 1.5392, recall: 0.5083, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0789, scimark_benchmark: 942.9708, usercpu_time_millis: 490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5119, kappa: 0.2525, kb_relative_information_score: 3315.7834, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5274, predictive_accuracy: 0.5068, prior_entropy: 1.5392, recall: 0.5068, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.944, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5094, kappa: 0.2516, kb_relative_information_score: 3523.8438, mean_absolute_error: 0.3611, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5244, predictive_accuracy: 0.5044, prior_entropy: 1.5392, recall: 0.5044, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9674, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5459, kappa: 0.2984, kb_relative_information_score: 5204.8373, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5574, predictive_accuracy: 0.5562, prior_entropy: 1.5392, recall: 0.5562, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.172, scimark_benchmark: 1335.643, usercpu_time_millis: 720, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.5416, kappa: 0.2874, kb_relative_information_score: 3452.7754, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5417, predictive_accuracy: 0.5442, prior_entropy: 1.5392, recall: 0.5442, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9268, scimark_benchmark: 1064.8317, usercpu_time_millis: 1110, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.4996, kappa: 0.2257, kb_relative_information_score: 2967.5913, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4308, number_of_instances: 14730, precision: 0.5058, predictive_accuracy: 0.5009, prior_entropy: 1.5392, recall: 0.5009, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9697, scimark_benchmark: 1345.7204,

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