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Function: require_once

OpenML
OpenML
Supervised Classification on fri_c1_250_50

Supervised Classification on fri_c1_250_50

Task 3635 Supervised Classification fri_c1_250_50 546 runs submitted
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Visibility: Public
  • 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: 0.947, build_cpu_time: 0.3886, build_memory: 194203072, f_measure: 0.8881, kappa: 0.7743, kb_relative_information_score: 192.8694, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8883, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.322, root_relative_squared_error: 0.647, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, build_cpu_time: 0.856, build_memory: 604272284, f_measure: 0.8961, kappa: 0.7907, kb_relative_information_score: 197.1993, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8967, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6432, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 1.7118, build_memory: 581726478.4, f_measure: 0.8841, kappa: 0.7664, kb_relative_information_score: 190.4673, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6837, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, build_cpu_time: 3.3938, build_memory: 213824321.6, f_measure: 0.892, kappa: 0.7822, kb_relative_information_score: 194.6612, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9934, recall: 0.892, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6612, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, build_cpu_time: 0.0371, build_memory: 315209355.2, f_measure: 0.5811, kappa: 0.1524, kb_relative_information_score: 38.9562, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5808, predictive_accuracy: 0.584, prior_entropy: 0.9934, recall: 0.584, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.2903, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, build_cpu_time: 0.0262, build_memory: 989097878.4, f_measure: 0.5811, kappa: 0.1524, kb_relative_information_score: 38.9562, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5808, predictive_accuracy: 0.584, prior_entropy: 0.9934, recall: 0.584, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.2903, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, build_cpu_time: 0.6537, build_memory: 362200849.6, f_measure: 0.8674, kappa: 0.7317, kb_relative_information_score: 174.6526, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.869, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6858, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, build_cpu_time: 3.78, build_memory: 1087670916, f_measure: 0.8721, kappa: 0.742, kb_relative_information_score: 185.8302, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8723, predictive_accuracy: 0.872, prior_entropy: 0.9934, recall: 0.872, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7035, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 1.9418, build_memory: 1062908844.8, f_measure: 0.8683, kappa: 0.735, kb_relative_information_score: 183.8228, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8699, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6956, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, build_cpu_time: 1.1473, build_memory: 1923150794.4, f_measure: 0.84, kappa: 0.677, kb_relative_information_score: 170.9016, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7529, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, build_cpu_time: 0.6076, build_memory: 1649972252, f_measure: 0.8279, kappa: 0.6525, kb_relative_information_score: 161.4849, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9934, recall: 0.828, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7719, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, build_cpu_time: 0.613, build_memory: 357399203.2, f_measure: 0.6284, kappa: 0.2508, kb_relative_information_score: 49.8634, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6289, predictive_accuracy: 0.628, prior_entropy: 0.9934, recall: 0.628, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5337, root_relative_squared_error: 1.0723, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.5574, build_memory: 773165904, f_measure: 0.8721, kappa: 0.742, kb_relative_information_score: 188.3228, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8723, predictive_accuracy: 0.872, prior_entropy: 0.9934, recall: 0.872, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6399, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, build_cpu_time: 0.0527, build_memory: 1593762870.4, f_measure: 0.8344, kappa: 0.6651, kb_relative_information_score: 151.3971, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8391, predictive_accuracy: 0.836, prior_entropy: 0.9934, recall: 0.836, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6743, scimark_benchmark: 947.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, build_cpu_time: 0.1165, build_memory: 606128570.4, f_measure: 0.8477, kappa: 0.6922, kb_relative_information_score: 78.6855, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9934, recall: 0.848, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.78, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, build_cpu_time: 0.0488, build_memory: 574093360, f_measure: 0.8389, kappa: 0.674, kb_relative_information_score: 151.8189, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8417, predictive_accuracy: 0.84, prior_entropy: 0.9934, recall: 0.84, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7518, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, build_cpu_time: 0.0002, build_memory: 1001397509.6, f_measure: 0.5811, kappa: 0.1524, kb_relative_information_score: 38.9562, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.5808, predictive_accuracy: 0.584, prior_entropy: 0.9934, recall: 0.584, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6421, root_relative_squared_error: 1.2903, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0216, build_memory: 942631563.2, f_measure: 0.388, kb_relative_information_score: 20.9877, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3509, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, build_cpu_time: 0.0369, build_memory: 1135342688, f_measure: 0.6385, kappa: 0.2688, kb_relative_information_score: 67.5954, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6383, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2056, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, build_cpu_time: 0.0655, build_memory: 491684394.4, f_measure: 0.5941, kappa: 0.2048, kb_relative_information_score: 45.3047, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6134, predictive_accuracy: 0.596, prior_entropy: 0.9934, recall: 0.596, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2771, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, build_cpu_time: 0.0213, build_memory: 89836298.4, f_measure: 0.6393, kappa: 0.271, kb_relative_information_score: 62.3336, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.639, predictive_accuracy: 0.64, prior_entropy: 0.9934, recall: 0.64, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0031, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, build_cpu_time: 0.0131, build_memory: 24930628.8, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6003, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, build_cpu_time: 0.0566, build_memory: 347143970.4, f_measure: 0.8801, kappa: 0.7581, kb_relative_information_score: 147.0819, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6237, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, build_cpu_time: 0.0051, build_memory: 691322130.4, f_measure: 0.7803, kappa: 0.5576, kb_relative_information_score: 138.5203, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7813, predictive_accuracy: 0.78, prior_entropy: 0.9934, recall: 0.78, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9424, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 0.0146, build_memory: 738099099.2, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 184.3858, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6898, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 0.0139, build_memory: 339313770.4, f_measure: 0.8799, kappa: 0.7574, kb_relative_information_score: 184.3858, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6898, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, build_cpu_time: 0.0001, build_memory: 130756411.2, f_measure: 0.388, kb_relative_information_score: -0.0676, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.3003, predictive_accuracy: 0.548, prior_entropy: 0.9934, recall: 0.548, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0002, scimark_benchmark: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, build_cpu_time: 0.0027, build_memory: 139372420, f_measure: 0.6664, kappa: 0.3251, kb_relative_information_score: 63.6003, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6665, predictive_accuracy: 0.668, prior_entropy: 0.9934, recall: 0.668, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9251, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, build_cpu_time: 0.0543, build_memory: 747770804.8, f_measure: 0.6366, kappa: 0.2681, kb_relative_information_score: 65.569, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6376, predictive_accuracy: 0.636, prior_entropy: 0.9934, recall: 0.636, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2122, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, build_cpu_time: 0.4981, build_memory: 39361197.6, f_measure: 0.6444, kappa: 0.283, kb_relative_information_score: 58.1307, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6449, predictive_accuracy: 0.644, prior_entropy: 0.9934, recall: 0.644, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9948, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, build_cpu_time: 0.3204, build_memory: 199735540, f_measure: 0.6761, kappa: 0.3465, kb_relative_information_score: 68.7211, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.6763, predictive_accuracy: 0.676, prior_entropy: 0.9934, recall: 0.676, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9833, scimark_benchmark: 916.929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, build_cpu_time: 0.0024, build_memory: 1840740439.2, f_measure: 0.7479, kappa: 0.4909, kb_relative_information_score: 71.8624, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.7478, predictive_accuracy: 0.748, prior_entropy: 0.9934, recall: 0.748, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8684, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, build_cpu_time: 3.3142, build_memory: 502287285.6, f_measure: 0.8122, kappa: 0.6214, kb_relative_information_score: 135.7243, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8126, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, build_cpu_time: 8.523, build_memory: 207863011.2, f_measure: 0.8123, kappa: 0.622, kb_relative_information_score: 131.6204, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8132, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6963, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 12.2229, build_memory: 2553061112.8, f_measure: 0.8203, kappa: 0.6381, kb_relative_information_score: 126.3053, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8212, predictive_accuracy: 0.82, prior_entropy: 0.9934, recall: 0.82, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7138, scimark_benchmark: 944.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 25.3565, build_memory: 99279699.2, f_measure: 0.8043, kappa: 0.6059, kb_relative_information_score: 125.7177, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8052, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7158, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, build_cpu_time: 49.193, build_memory: 2473966323.2, f_measure: 0.8122, kappa: 0.6214, kb_relative_information_score: 126.5338, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8126, predictive_accuracy: 0.812, prior_entropy: 0.9934, recall: 0.812, relative_absolute_error: 0.5195, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7105, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, build_cpu_time: 11.0741, build_memory: 536315836, f_measure: 0.8959, kappa: 0.7897, kb_relative_information_score: 196.9971, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9934, recall: 0.896, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6363, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, build_cpu_time: 5.4151, build_memory: 888700013.6, f_measure: 0.9039, kappa: 0.8059, kb_relative_information_score: 200.6073, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9934, recall: 0.904, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6222, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, build_cpu_time: 2.4911, build_memory: 162926632.8, f_measure: 0.8878, kappa: 0.7732, kb_relative_information_score: 194.913, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9934, recall: 0.888, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6528, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, build_cpu_time: 1.3368, build_memory: 982805356, f_measure: 0.884, kappa: 0.7657, kb_relative_information_score: 191.3954, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.336, root_relative_squared_error: 0.675, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, build_cpu_time: 0.5262, build_memory: 39344374.4, f_measure: 0.8841, kappa: 0.7664, kb_relative_information_score: 191.5221, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8845, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.2332, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6672, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, build_cpu_time: 2.6901, build_memory: 500846045.6, f_measure: 0.8833, kappa: 0.7638, kb_relative_information_score: 143.6088, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8861, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6125, scimark_benchmark: 946.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, build_cpu_time: 4.2652, build_memory: 84243610.4, f_measure: 0.8754, kappa: 0.7479, kb_relative_information_score: 145.6121, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8771, predictive_accuracy: 0.876, prior_entropy: 0.9934, recall: 0.876, relative_absolute_error: 0.4567, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6059, scimark_benchmark: 944.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, build_cpu_time: 1.273, build_memory: 835584802.4, f_measure: 0.88, kappa: 0.7578, kb_relative_information_score: 150.0368, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9934, recall: 0.88, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3097, root_relative_squared_error: 0.6223, scimark_benchmark: 937.3308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, build_cpu_time: 0.672, build_memory: 664313638.4, f_measure: 0.884, kappa: 0.7657, kb_relative_information_score: 149.3146, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9934, recall: 0.884, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6228, scimark_benchmark: 933.4944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, build_cpu_time: 0.3674, build_memory: 4442748655.2, f_measure: 0.876, kappa: 0.7495, kb_relative_information_score: 150.9857, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9934, recall: 0.876, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6278, scimark_benchmark: 897.2721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, build_cpu_time: 0.2351, build_memory: 29407336.8, f_measure: 0.8599, kappa: 0.7172, kb_relative_information_score: 150.1748, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9934, recall: 0.86, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6424, scimark_benchmark: 925.9553,

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