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Function: require_once

OpenML
OpenML
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 52 Supervised Classification heart-statlog 887 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

887 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8036, kappa: 0.6022, kb_relative_information_score: 161.0802, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8036, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.4018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8813, scimark_benchmark: 939.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8221, kappa: 0.6394, kb_relative_information_score: 164.8697, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.822, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8147, kappa: 0.6244, kb_relative_information_score: 153.4296, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8146, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.779, scimark_benchmark: 944.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.7223, kappa: 0.438, kb_relative_information_score: 116.5833, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7225, predictive_accuracy: 0.7222, prior_entropy: 0.9912, recall: 0.7222, relative_absolute_error: 0.5661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0564, scimark_benchmark: 944.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8183, kappa: 0.6316, kb_relative_information_score: 154.718, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8182, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7732, scimark_benchmark: 943.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7958, kappa: 0.5858, kb_relative_information_score: 160.4253, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8512, scimark_benchmark: 915.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7991, kappa: 0.5923, kb_relative_information_score: 128.0168, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8149, scimark_benchmark: 933.6352,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.778, kappa: 0.5507, kb_relative_information_score: 143.9275, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7782, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8554, scimark_benchmark: 943.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8138, kappa: 0.6218, kb_relative_information_score: 123.3905, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.815, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7288, scimark_benchmark: 941.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8293, kappa: 0.6538, kb_relative_information_score: 156.2561, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7588, scimark_benchmark: 937.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 161.3977, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8897, scimark_benchmark: 949.3373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8034, kappa: 0.6015, kb_relative_information_score: 161.2572, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8034, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8885, scimark_benchmark: 930.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7592, kappa: 0.5121, kb_relative_information_score: 140.1504, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7591, predictive_accuracy: 0.7593, prior_entropy: 0.9912, recall: 0.7593, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.912, scimark_benchmark: 946.4917,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 135.7643, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7316, scimark_benchmark: 944.214,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7325, kappa: 0.4597, kb_relative_information_score: 100.6091, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.75, predictive_accuracy: 0.7407, prior_entropy: 0.9912, recall: 0.7407, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8167, scimark_benchmark: 932.5062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8176, kappa: 0.6297, kb_relative_information_score: 129.5959, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8186, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7838, scimark_benchmark: 949.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.8212, kappa: 0.637, kb_relative_information_score: 134.0093, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8225, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7718, scimark_benchmark: 947.2732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.762, kappa: 0.5168, kb_relative_information_score: 139.8519, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7623, predictive_accuracy: 0.763, prior_entropy: 0.9912, recall: 0.763, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8056, scimark_benchmark: 947.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8176, kappa: 0.6297, kb_relative_information_score: 170.2222, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8186, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8573, scimark_benchmark: 936.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7801, kappa: 0.5534, kb_relative_information_score: 141.7447, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7814, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8806, scimark_benchmark: 919.2213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8298, kappa: 0.6556, kb_relative_information_score: 148.462, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7313, scimark_benchmark: 920.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7956, kappa: 0.5851, kb_relative_information_score: 149.4522, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7888, scimark_benchmark: 928.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7807, kappa: 0.5549, kb_relative_information_score: 149.8666, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.781, predictive_accuracy: 0.7815, prior_entropy: 0.9912, recall: 0.7815, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9407, scimark_benchmark: 948.5794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.796, kappa: 0.5865, kb_relative_information_score: 158.0089, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9083, scimark_benchmark: 945.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7986, kappa: 0.5909, kb_relative_information_score: 101.1155, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7721, scimark_benchmark: 923.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.7699, kappa: 0.5334, kb_relative_information_score: 136.7809, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7698, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9307, scimark_benchmark: 948.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 130.3953, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7277, scimark_benchmark: 947.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8212, kappa: 0.637, kb_relative_information_score: 124.3352, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8225, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7337, scimark_benchmark: 917.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 145.4052, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289, scimark_benchmark: 911.6365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7531, kappa: 0.5074, kb_relative_information_score: 141.7244, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7998, predictive_accuracy: 0.7667, prior_entropy: 0.9912, recall: 0.7667, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9721, scimark_benchmark: 917.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7735, kappa: 0.5406, kb_relative_information_score: 139.8825, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7735, predictive_accuracy: 0.7741, prior_entropy: 0.9912, recall: 0.7741, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8399, scimark_benchmark: 909.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7771, kappa: 0.5477, kb_relative_information_score: 123.2636, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7772, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8531, scimark_benchmark: 916.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6725, kappa: 0.3538, kb_relative_information_score: 103.0488, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.727, predictive_accuracy: 0.6963, prior_entropy: 0.9912, recall: 0.6963, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1091, scimark_benchmark: 946.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7884, kappa: 0.5707, kb_relative_information_score: 123.0294, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7884, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.836, scimark_benchmark: 946.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 145.4052, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289, scimark_benchmark: 946.6688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.7283, kappa: 0.4484, kb_relative_information_score: 121.3688, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7286, predictive_accuracy: 0.7296, prior_entropy: 0.9912, recall: 0.7296, relative_absolute_error: 0.5475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0464,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7956, kappa: 0.5851, kb_relative_information_score: 122.4309, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8163, scimark_benchmark: 947.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.0044, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 911.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8179, kappa: 0.6303, kb_relative_information_score: 145.4052, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8183, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7289, scimark_benchmark: 947.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7989, kappa: 0.5916, kb_relative_information_score: 131.0292, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7666, scimark_benchmark: 944.3741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 25.6977, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416, scimark_benchmark: 948.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7812, kappa: 0.5561, kb_relative_information_score: 131.1587, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7904, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8538, scimark_benchmark: 948.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8291, kappa: 0.6533, kb_relative_information_score: 152.0919, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8294, predictive_accuracy: 0.8296, prior_entropy: 0.9912, recall: 0.8296, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7141, scimark_benchmark: 933.2544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8022, kappa: 0.5981, kb_relative_information_score: 133.3225, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8045, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7745, scimark_benchmark: 920.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8329, kappa: 0.6611, kb_relative_information_score: 137.4394, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9912, recall: 0.8333, relative_absolute_error: 0.5291, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7555, scimark_benchmark: 920.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.8057, kappa: 0.6054, kb_relative_information_score: 164.1155, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8085, predictive_accuracy: 0.8074, prior_entropy: 0.9912, recall: 0.8074, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8832, scimark_benchmark: 919.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7848, kappa: 0.5635, kb_relative_information_score: 134.0948, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7847, predictive_accuracy: 0.7852, prior_entropy: 0.9912, recall: 0.7852, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7505, kappa: 0.497, kb_relative_information_score: 125.9746, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7735, predictive_accuracy: 0.7593, prior_entropy: 0.9912, recall: 0.7593, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8883, scimark_benchmark: 946.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.7553, kappa: 0.5042, kb_relative_information_score: 133.9175, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7552, predictive_accuracy: 0.7556, prior_entropy: 0.9912, recall: 0.7556, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9463, scimark_benchmark: 943.4476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.8002, kappa: 0.5957, kb_relative_information_score: 126.7878, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 0.9912, recall: 0.8, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8153, scimark_benchmark: 949.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.815, kappa: 0.6256, kb_relative_information_score: 151.1045, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8152, predictive_accuracy: 0.8148, prior_entropy: 0.9912, recall: 0.8148, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.741, scimark_benchmark: 947.9738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.7475, kappa: 0.4877, kb_relative_information_score: 96.8526, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7547, predictive_accuracy: 0.7519, prior_entropy: 0.9912, recall: 0.7519, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8682, scimark_benchmark: 948.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.4293, kappa: 0.0369, kb_relative_information_score: 33.8399, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7577, predictive_accuracy: 0.5704, prior_entropy: 0.9912, recall: 0.5704, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6555, root_relative_squared_error: 1.3191, scimark_benchmark: 916.2133,

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