Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 4546 Supervised Classification mfeat-factors 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9867, kappa: 0.9253, kb_relative_information_score: 17656.661, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9867, predictive_accuracy: 0.9869, prior_entropy: 0.4703, recall: 0.9869, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.374, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9577, kb_relative_information_score: 18160.3857, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.4703, recall: 0.9924, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663, scimark_benchmark: 972.587, usercpu_time_millis: 2310, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9924, kappa: 0.9576, kb_relative_information_score: 18374.4166, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2625, scimark_benchmark: 934.3687, usercpu_time_millis: 6820, usercpu_time_millis_training: 6820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 941.3142, usercpu_time_millis: 43170, usercpu_time_millis_testing: 20280, usercpu_time_millis_training: 22890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9532, kappa: 0.7624, kb_relative_information_score: 12511.8736, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9624, predictive_accuracy: 0.9496, prior_entropy: 0.4703, recall: 0.9496, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7445, scimark_benchmark: 941.6675, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9905, kappa: 0.9469, kb_relative_information_score: 17799.4444, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.4703, recall: 0.9906, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, scimark_benchmark: 938.191, usercpu_time_millis: 1520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9946, kappa: 0.9698, kb_relative_information_score: 18977.3344, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9946, predictive_accuracy: 0.9947, prior_entropy: 0.4703, recall: 0.9947, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2173, scimark_benchmark: 941.6675, usercpu_time_millis: 61540, usercpu_time_millis_testing: 5950, usercpu_time_millis_training: 55590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9894, kappa: 0.9409, kb_relative_information_score: 18219.0299, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3299, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9629, kb_relative_information_score: 17649.3588, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2623, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 936.3373, usercpu_time_millis: 39580, usercpu_time_millis_testing: 19380, usercpu_time_millis_training: 20200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 932.438, usercpu_time_millis: 17330, usercpu_time_millis_testing: 7690, usercpu_time_millis_training: 9640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9629, kb_relative_information_score: 17649.3588, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2623, scimark_benchmark: 947.1781, usercpu_time_millis: 820, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9867, kappa: 0.9253, kb_relative_information_score: 17656.661, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9867, predictive_accuracy: 0.9869, prior_entropy: 0.4703, recall: 0.9869, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.374, scimark_benchmark: 942.2392, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9577, kb_relative_information_score: 18160.3857, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.4703, recall: 0.9924, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663, scimark_benchmark: 901.6243, usercpu_time_millis: 2020, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9924, kappa: 0.9576, kb_relative_information_score: 18374.4166, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2625, scimark_benchmark: 934.695, usercpu_time_millis: 6870, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 905.2959, usercpu_time_millis: 29250, usercpu_time_millis_testing: 12650, usercpu_time_millis_training: 16600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 940.1221, usercpu_time_millis: 36550, usercpu_time_millis_testing: 13320, usercpu_time_millis_training: 23230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 938.1282, usercpu_time_millis: 1610, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 903.2737, usercpu_time_millis: 2000, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 933.3455, usercpu_time_millis: 1790, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9905, kappa: 0.9469, kb_relative_information_score: 17799.4444, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.4703, recall: 0.9906, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, scimark_benchmark: 930.404, usercpu_time_millis: 1110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9946, kappa: 0.9698, kb_relative_information_score: 18977.3344, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9946, predictive_accuracy: 0.9947, prior_entropy: 0.4703, recall: 0.9947, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2173, scimark_benchmark: 906.0979, usercpu_time_millis: 53640, usercpu_time_millis_testing: 6490, usercpu_time_millis_training: 47150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9894, kappa: 0.9409, kb_relative_information_score: 18219.0299, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3299, scimark_benchmark: 730.6551, usercpu_time_millis: 112020, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 111750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 936.9595, usercpu_time_millis: 1740, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9629, kb_relative_information_score: 17649.3588, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2623, scimark_benchmark: 941.4991, usercpu_time_millis: 800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9754, kb_relative_information_score: 18501.0992, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.4703, recall: 0.9957, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.2086, scimark_benchmark: 940.1221, usercpu_time_millis: 301450, usercpu_time_millis_testing: 129300, usercpu_time_millis_training: 172150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9957, kappa: 0.9756, kb_relative_information_score: 18502.562, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.4703, recall: 0.9957, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.2075, scimark_benchmark: 932.438, usercpu_time_millis: 147980, usercpu_time_millis_testing: 63950, usercpu_time_millis_training: 84030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9956, kappa: 0.9754, kb_relative_information_score: 18450.1707, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9957, predictive_accuracy: 0.9957, prior_entropy: 0.4703, recall: 0.9957, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2122, scimark_benchmark: 935.2002, usercpu_time_millis: 71550, usercpu_time_millis_testing: 30590, usercpu_time_millis_training: 40960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.996, kappa: 0.9777, kb_relative_information_score: 18383.9835, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.4703, recall: 0.9961, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.2151, scimark_benchmark: 920.5394, usercpu_time_millis: 38590, usercpu_time_millis_testing: 16670, usercpu_time_millis_training: 21920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9949, kappa: 0.9716, kb_relative_information_score: 18220.9073, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.2342, scimark_benchmark: 918.0831, usercpu_time_millis: 18160, usercpu_time_millis_testing: 7840, usercpu_time_millis_training: 10320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9956, kappa: 0.9755, kb_relative_information_score: 19272.5452, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9956, predictive_accuracy: 0.9957, prior_entropy: 0.4703, recall: 0.9957, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2105, scimark_benchmark: 941.9549, usercpu_time_millis: 5140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9956, kappa: 0.9752, kb_relative_information_score: 19268.6659, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.4703, recall: 0.9956, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.2112, scimark_benchmark: 941.9549, usercpu_time_millis: 4760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9955, kappa: 0.9747, kb_relative_information_score: 19249.7595, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.2141, scimark_benchmark: 936.7184, usercpu_time_millis: 3760, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9943, kappa: 0.9681, kb_relative_information_score: 19048.7599, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 0.4703, recall: 0.9944, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.071, root_relative_squared_error: 0.2365, scimark_benchmark: 929.0296, usercpu_time_millis: 1980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9915, kappa: 0.9527, kb_relative_information_score: 18566.9337, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9915, predictive_accuracy: 0.9916, prior_entropy: 0.4703, recall: 0.9916, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.2741, scimark_benchmark: 936.1714, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9778, kappa: 0.8767, kb_relative_information_score: -922.6347, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9778, predictive_accuracy: 0.9778, prior_entropy: 0.4703, recall: 0.9778, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5996, scimark_benchmark: 929.0296, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9905, kappa: 0.9469, kb_relative_information_score: 17799.4444, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9905, predictive_accuracy: 0.9906, prior_entropy: 0.4703, recall: 0.9906, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2872, scimark_benchmark: 1366.7181, usercpu_time_millis: 1050, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1340.9749, usercpu_time_millis: 1320, usercpu_time_millis_testing: 1020, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9867, kappa: 0.9253, kb_relative_information_score: 17656.661, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9867, predictive_accuracy: 0.9869, prior_entropy: 0.4703, recall: 0.9869, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.374, scimark_benchmark: 1338.5214, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9577, kb_relative_information_score: 18160.3857, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.4703, recall: 0.9924, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663, scimark_benchmark: 1274.7011, usercpu_time_millis: 1590, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1318.4315, usercpu_time_millis: 1010, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1347.1763, usercpu_time_millis: 1040, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9946, kappa: 0.9698, kb_relative_information_score: 18977.3344, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9946, predictive_accuracy: 0.9947, prior_entropy: 0.4703, recall: 0.9947, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.2173, scimark_benchmark: 1336.0954, usercpu_time_millis: 40640, usercpu_time_millis_testing: 5790, usercpu_time_millis_training: 34850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1354.5533, usercpu_time_millis: 1130, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9894, kappa: 0.9409, kb_relative_information_score: 18219.0299, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3299, scimark_benchmark: 1347.3402, usercpu_time_millis: 98020, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 97790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1313.11, usercpu_time_millis: 1170, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1342.2845, usercpu_time_millis: 1160, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1324.6442, usercpu_time_millis: 1020, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9629, kb_relative_information_score: 17649.3588, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2623, scimark_benchmark: 1346.2927, usercpu_time_millis: 850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9867, kappa: 0.9253, kb_relative_information_score: 17656.661, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9867, predictive_accuracy: 0.9869, prior_entropy: 0.4703, recall: 0.9869, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.374, scimark_benchmark: 1393.8432, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9577, kb_relative_information_score: 18160.3857, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.4703, recall: 0.9924, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663, scimark_benchmark: 1339.8573, usercpu_time_millis: 1740, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9924, kappa: 0.9576, kb_relative_information_score: 18374.4166, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0696, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2625, scimark_benchmark: 1299.3719, usercpu_time_millis: 5460, usercpu_time_millis_training: 5460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 19080.5842, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.166, scimark_benchmark: 1367.3264, usercpu_time_millis: 4410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1375.1578, usercpu_time_millis: 33610, usercpu_time_millis_testing: 18280, usercpu_time_millis_training: 15330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1314.1215, usercpu_time_millis: 840, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1313.8988, usercpu_time_millis: 1070, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9867, kappa: 0.9253, kb_relative_information_score: 17656.661, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9867, predictive_accuracy: 0.9869, prior_entropy: 0.4703, recall: 0.9869, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.374, scimark_benchmark: 1317.071, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9924, kappa: 0.9577, kb_relative_information_score: 18160.3857, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 0.4703, recall: 0.9924, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2663, scimark_benchmark: 1349.9643, usercpu_time_millis: 1490, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1397.3209, usercpu_time_millis: 38200, usercpu_time_millis_testing: 19880, usercpu_time_millis_training: 18320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 1299.3719, usercpu_time_millis: 1170, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 5193.5002, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1354.3488, usercpu_time_millis: 38960, usercpu_time_millis_testing: 18590, usercpu_time_millis_training: 20370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9894, kappa: 0.9409, kb_relative_information_score: 18219.0299, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9894, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.3299, scimark_benchmark: 1344.4042, usercpu_time_millis: 107790, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 107580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9629, kb_relative_information_score: 17649.3588, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2623, scimark_benchmark: 1322.7257, usercpu_time_millis: 610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9856, kappa: 0.9219, kb_relative_information_score: 17649.8098, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9866, predictive_accuracy: 0.9852, prior_entropy: 0.4703, recall: 0.9852, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3956, scimark_benchmark: 932.5646, usercpu_time_millis: 1840, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 530,

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

How to submit runs

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

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