OpenML
Supervised Classification on fri_c1_500_25

Supervised Classification on fri_c1_500_25

Task 3645 Supervised Classification fri_c1_500_25 565 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.0425, build_memory: 1947701152.8, f_measure: 0.6482, kappa: 0.2935, kb_relative_information_score: 145.6459, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6484, predictive_accuracy: 0.648, prior_entropy: 0.9967, recall: 0.648, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1893, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, build_cpu_time: 0.04, build_memory: 1005575918.4, f_measure: 0.6482, kappa: 0.2935, kb_relative_information_score: 145.6459, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6484, predictive_accuracy: 0.648, prior_entropy: 0.9967, recall: 0.648, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1893, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, build_cpu_time: 0.5969, build_memory: 155033777.6, f_measure: 0.6656, kappa: 0.3276, kb_relative_information_score: 136.7655, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.666, prior_entropy: 0.9967, recall: 0.666, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0201, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, build_cpu_time: 0.6017, build_memory: 362957483.2, f_measure: 0.6656, kappa: 0.3276, kb_relative_information_score: 136.7655, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6655, predictive_accuracy: 0.666, prior_entropy: 0.9967, recall: 0.666, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0201, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, build_cpu_time: 0.4927, build_memory: 706277826.4, f_measure: 0.665, kappa: 0.3261, kb_relative_information_score: 145.6165, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6652, predictive_accuracy: 0.666, prior_entropy: 0.9967, recall: 0.666, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.034, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, build_cpu_time: 0.9177, build_memory: 275589572.8, f_measure: 0.6371, kappa: 0.27, kb_relative_information_score: 135.8947, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6371, predictive_accuracy: 0.638, prior_entropy: 0.9967, recall: 0.638, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0297, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, build_cpu_time: 1.584, build_memory: 673336611.2, f_measure: 0.6439, kappa: 0.2843, kb_relative_information_score: 137.9412, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6438, predictive_accuracy: 0.644, prior_entropy: 0.9967, recall: 0.644, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0221, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, build_cpu_time: 5.8155, build_memory: 393654438.4, f_measure: 0.6418, kappa: 0.2801, kb_relative_information_score: 139.5013, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6417, predictive_accuracy: 0.642, prior_entropy: 0.9967, recall: 0.642, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0153, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, build_cpu_time: 0.8229, build_memory: 2917702210.4, f_measure: 0.8737, kappa: 0.7459, kb_relative_information_score: 300.5109, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8746, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.611, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, build_cpu_time: 0.8309, build_memory: 856612275.2, f_measure: 0.8737, kappa: 0.7459, kb_relative_information_score: 300.5109, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8746, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.611, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, build_cpu_time: 0.8286, build_memory: 1998432047.2, f_measure: 0.8737, kappa: 0.7459, kb_relative_information_score: 300.5109, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8746, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.611, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.4602, build_memory: 258979537.6, f_measure: 0.8697, kappa: 0.738, kb_relative_information_score: 298.9, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6169, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.4499, build_memory: 247542681.6, f_measure: 0.8697, kappa: 0.738, kb_relative_information_score: 298.9, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6169, scimark_benchmark: 947.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, build_cpu_time: 0.2222, build_memory: 2555821757.6, f_measure: 0.8676, kappa: 0.7336, kb_relative_information_score: 298.9843, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8689, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6159, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, build_cpu_time: 0.1378, build_memory: 505996465.6, f_measure: 0.8776, kappa: 0.7539, kb_relative_information_score: 300.9483, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8789, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6176, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, build_cpu_time: 0.0382, build_memory: 215692514.4, f_measure: 0.8582, kappa: 0.7162, kb_relative_information_score: 234.5146, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8608, predictive_accuracy: 0.858, prior_entropy: 0.9967, recall: 0.858, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6954, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, build_cpu_time: 0.2311, build_memory: 455896739.2, f_measure: 0.8699, kappa: 0.7383, kb_relative_information_score: 235.8293, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6689, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 0.4043, build_memory: 1858058402.4, f_measure: 0.8759, kappa: 0.7506, kb_relative_information_score: 234.2716, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6677, scimark_benchmark: 928.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, build_cpu_time: 24.9247, build_memory: 2041561373.6, f_measure: 0.8779, kappa: 0.7544, kb_relative_information_score: 216.2182, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8781, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6919, scimark_benchmark: 907.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 14.5874, build_memory: 871952799.2, f_measure: 0.8759, kappa: 0.7506, kb_relative_information_score: 216.5198, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6916, scimark_benchmark: 941.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, build_cpu_time: 7.388, build_memory: 775340093.6, f_measure: 0.8738, kappa: 0.7462, kb_relative_information_score: 216.3184, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8742, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6926, scimark_benchmark: 908.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, build_cpu_time: 3.2147, build_memory: 532601530.4, f_measure: 0.8678, kappa: 0.734, kb_relative_information_score: 216.0978, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6932, scimark_benchmark: 931.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, build_cpu_time: 1.7375, build_memory: 2245396290.4, f_measure: 0.8778, kappa: 0.7541, kb_relative_information_score: 215.8397, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8784, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6946, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 0.0277, build_memory: 263723992, f_measure: 0.7603, kappa: 0.5196, kb_relative_information_score: 210.328, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7617, predictive_accuracy: 0.76, prior_entropy: 0.9967, recall: 0.76, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8241, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 0.0268, build_memory: 1158546316.8, f_measure: 0.7603, kappa: 0.5196, kb_relative_information_score: 210.328, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7617, predictive_accuracy: 0.76, prior_entropy: 0.9967, recall: 0.76, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8241, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, build_cpu_time: 0.0314, build_memory: 742139310.4, f_measure: 0.7603, kappa: 0.5196, kb_relative_information_score: 210.328, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7617, predictive_accuracy: 0.76, prior_entropy: 0.9967, recall: 0.76, relative_absolute_error: 0.5935, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8241, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, build_cpu_time: 0.0825, build_memory: 419610918.4, f_measure: 0.75, kappa: 0.4975, kb_relative_information_score: 208.8893, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9967, recall: 0.75, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8196, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, build_cpu_time: 0.1664, build_memory: 827809976.8, f_measure: 0.74, kappa: 0.4776, kb_relative_information_score: 208.1874, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9967, recall: 0.74, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8134, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.2887, build_memory: 713279796.8, f_measure: 0.7557, kappa: 0.5087, kb_relative_information_score: 211.5759, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9967, recall: 0.756, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7993, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.2158, build_memory: 747177648, f_measure: 0.7557, kappa: 0.5087, kb_relative_information_score: 211.5759, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9967, recall: 0.756, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7993, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.3099, build_memory: 838523444, f_measure: 0.7557, kappa: 0.5087, kb_relative_information_score: 211.5759, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9967, recall: 0.756, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7993, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, build_cpu_time: 0.2982, build_memory: 292317186.4, f_measure: 0.7557, kappa: 0.5087, kb_relative_information_score: 211.5759, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7557, predictive_accuracy: 0.756, prior_entropy: 0.9967, recall: 0.756, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7993, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, build_cpu_time: 0.4714, build_memory: 771783152.8, f_measure: 0.7377, kappa: 0.4726, kb_relative_information_score: 207.8021, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.738, prior_entropy: 0.9967, recall: 0.738, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8057, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, build_cpu_time: 0.3155, build_memory: 674563770.4, f_measure: 0.7643, kappa: 0.5274, kb_relative_information_score: 164.0374, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8085, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, build_cpu_time: 0.2775, build_memory: 335530522.4, f_measure: 0.7643, kappa: 0.5274, kb_relative_information_score: 164.0374, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8085, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, build_cpu_time: 0.2931, build_memory: 190885336.8, f_measure: 0.7643, kappa: 0.5274, kb_relative_information_score: 164.0374, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7654, predictive_accuracy: 0.764, prior_entropy: 0.9967, recall: 0.764, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8085, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, build_cpu_time: 0.3736, build_memory: 852297153.6, f_measure: 0.6573, kappa: 0.3108, kb_relative_information_score: 106.2394, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6573, predictive_accuracy: 0.658, prior_entropy: 0.9967, recall: 0.658, relative_absolute_error: 0.8089, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9191, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 0.0909, build_memory: 1117926817.6, f_measure: 0.8553, kappa: 0.7089, kb_relative_information_score: 358.6461, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8579, predictive_accuracy: 0.856, prior_entropy: 0.9967, recall: 0.856, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7069, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, build_cpu_time: 0.0874, build_memory: 37360528.8, f_measure: 0.6454, kappa: 0.287, kb_relative_information_score: 99.7404, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6453, predictive_accuracy: 0.646, prior_entropy: 0.9967, recall: 0.646, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9346, scimark_benchmark: 917.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, build_cpu_time: 181.3918, build_memory: 378992300.8, f_measure: 0.71, kappa: 0.4171, kb_relative_information_score: 143.5487, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7099, predictive_accuracy: 0.71, prior_entropy: 0.9967, recall: 0.71, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.881, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, build_cpu_time: 519.3762, build_memory: 50234492, f_measure: 0.7038, kappa: 0.4046, kb_relative_information_score: 139.7745, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7037, predictive_accuracy: 0.704, prior_entropy: 0.9967, recall: 0.704, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8876, scimark_benchmark: 940.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, build_cpu_time: 0.0256, build_memory: 1186963419.2, f_measure: 0.736, kappa: 0.4695, kb_relative_information_score: 120.4847, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.736, predictive_accuracy: 0.736, prior_entropy: 0.9967, recall: 0.736, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8544, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, build_cpu_time: 0.015, build_memory: 979160344, f_measure: 0.7256, kappa: 0.4481, kb_relative_information_score: 119.0968, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7256, predictive_accuracy: 0.726, prior_entropy: 0.9967, recall: 0.726, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8576, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, build_cpu_time: 0.858, build_memory: 654931386.4, f_measure: 0.6411, kappa: 0.2781, kb_relative_information_score: 99.6916, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6411, predictive_accuracy: 0.642, prior_entropy: 0.9967, recall: 0.642, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9819, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, build_cpu_time: 0.0068, build_memory: 41566804, f_measure: 0.7357, kappa: 0.4687, kb_relative_information_score: 119.4787, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7357, predictive_accuracy: 0.736, prior_entropy: 0.9967, recall: 0.736, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8575, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 0.9597, build_memory: 2296819075.2, f_measure: 0.649, kappa: 0.2939, kb_relative_information_score: 119.5214, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6491, predictive_accuracy: 0.65, prior_entropy: 0.9967, recall: 0.65, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0569, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, build_cpu_time: 0.003, build_memory: 166954037.6, f_measure: 0.7302, kappa: 0.4585, kb_relative_information_score: 118.9445, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7307, predictive_accuracy: 0.73, prior_entropy: 0.9967, recall: 0.73, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8578, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, build_cpu_time: 0.0026, build_memory: 137531684.8, f_measure: 0.7243, kappa: 0.4485, kb_relative_information_score: 120.2512, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7269, predictive_accuracy: 0.724, prior_entropy: 0.9967, recall: 0.724, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.859, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 1.8589, build_memory: 738230121.6, f_measure: 0.8697, kappa: 0.7379, kb_relative_information_score: 314.1641, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8705, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.61, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, build_cpu_time: 6.2251, build_memory: 116815956.8, f_measure: 0.8837, kappa: 0.7662, kb_relative_information_score: 315.5299, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.9967, recall: 0.884, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6065, scimark_benchmark: 898.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, build_cpu_time: 9.1039, build_memory: 679036732.8, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 318.327, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5938, scimark_benchmark: 946.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, build_cpu_time: 18.3234, build_memory: 818678406.4, f_measure: 0.8858, kappa: 0.7703, kb_relative_information_score: 319.0661, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8864, predictive_accuracy: 0.886, prior_entropy: 0.9967, recall: 0.886, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.294, root_relative_squared_error: 0.5893, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, build_cpu_time: 36.9918, build_memory: 230166088, f_measure: 0.8818, kappa: 0.7622, kb_relative_information_score: 319.1245, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3927, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5857, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 11.28, build_memory: 2694224411.2, f_measure: 0.886, kappa: 0.771, kb_relative_information_score: 385.7608, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 0.9967, recall: 0.886, relative_absolute_error: 0.2276, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6691, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 4.8632, build_memory: 1087813421.6, f_measure: 0.888, kappa: 0.775, kb_relative_information_score: 388.0378, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9967, recall: 0.888, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6602, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, build_cpu_time: 2.4356, build_memory: 1346028951.2, f_measure: 0.884, kappa: 0.7671, kb_relative_information_score: 386.5594, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8841, predictive_accuracy: 0.884, prior_entropy: 0.9967, recall: 0.884, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6502, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, build_cpu_time: 1.3494, build_memory: 103768133.6, f_measure: 0.898, kappa: 0.7952, kb_relative_information_score: 391.6768, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8981, predictive_accuracy: 0.898, prior_entropy: 0.9967, recall: 0.898, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6315, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, build_cpu_time: 0.6495, build_memory: 285848114.4, f_measure: 0.8739, kappa: 0.7463, kb_relative_information_score: 376.7786, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8741, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6614, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, build_cpu_time: 3.9711, build_memory: 488775252.8, f_measure: 0.8757, kappa: 0.7499, kb_relative_information_score: 302.5368, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8767, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6101, scimark_benchmark: 895.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, build_cpu_time: 7.6496, build_memory: 35750270.4, f_measure: 0.8817, kappa: 0.7619, kb_relative_information_score: 303.5131, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8829, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6043, scimark_benchmark: 943.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, build_cpu_time: 1.7249, build_memory: 43709953.6, f_measure: 0.8817, kappa: 0.7621, kb_relative_information_score: 322.6521, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8826, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.5943, scimark_benchmark: 936.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.8962, build_memory: 983040501.6, f_measure: 0.8817, kappa: 0.7621, kb_relative_information_score: 322.431, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8826, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5999, scimark_benchmark: 941.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, build_cpu_time: 0.9149, build_memory: 806376235.2, f_measure: 0.8817, kappa: 0.7621, kb_relative_information_score: 322.431, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8826, predictive_accuracy: 0.882, prior_entropy: 0.9967, recall: 0.882, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.5999, scimark_benchmark: 942.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8758, kappa: 0.7502, kb_relative_information_score: 323.4353, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8763, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, build_cpu_time: 0.2182, build_memory: 120641481.6, f_measure: 0.8737, kappa: 0.7459, kb_relative_information_score: 323.6608, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8746, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6139, scimark_benchmark: 926.3492,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs