Task
Supervised Classification on puma8NH

Supervised Classification on puma8NH

Task 3681 Supervised Classification puma8NH 553 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

553 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.0231, build_memory: 152031621.1289, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.0228, build_memory: 302031036.9316, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, build_cpu_time: 0.1509, build_memory: 2005376456.3906, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 4171.888, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7547, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, build_cpu_time: 0.1037, build_memory: 175838110.3613, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 4171.888, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7547, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 6.2545, build_memory: 763551050.3379, f_measure: 0.8244, kappa: 0.6489, kb_relative_information_score: 5305.9167, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8246, predictive_accuracy: 0.8245, prior_entropy: 1, recall: 0.8245, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8089, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, build_cpu_time: 20.5798, build_memory: 472472656.2529, f_measure: 0.8263, kappa: 0.6526, kb_relative_information_score: 5331.5238, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8263, predictive_accuracy: 0.8263, prior_entropy: 1, recall: 0.8263, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 43.7027, build_memory: 854604590.0674, f_measure: 0.825, kappa: 0.6499, kb_relative_information_score: 5324.3248, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8169, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 42.4192, build_memory: 877274807.7344, f_measure: 0.825, kappa: 0.6499, kb_relative_information_score: 5324.3248, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8169, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 41.7789, build_memory: 698327839.3672, f_measure: 0.825, kappa: 0.6499, kb_relative_information_score: 5324.3248, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8169, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8434, build_cpu_time: 80.993, build_memory: 668006309.6943, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5326.2074, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8247, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8173, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 154.6605, build_memory: 612670176.2012, f_measure: 0.8246, kappa: 0.6492, kb_relative_information_score: 5326.1422, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8246, predictive_accuracy: 0.8246, prior_entropy: 1, recall: 0.8246, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8167, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 10.2816, build_memory: 776752711.6094, f_measure: 0.8332, kappa: 0.6665, kb_relative_information_score: 4551.1682, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8335, predictive_accuracy: 0.8333, prior_entropy: 1, recall: 0.8333, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6898, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, build_cpu_time: 5.0033, build_memory: 1063452260.7852, f_measure: 0.8307, kappa: 0.6613, kb_relative_information_score: 4557.7146, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8309, predictive_accuracy: 0.8307, prior_entropy: 1, recall: 0.8307, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6896, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, build_cpu_time: 1.2455, build_memory: 1284446755.2949, f_measure: 0.8271, kappa: 0.6543, kb_relative_information_score: 4543.0652, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8273, predictive_accuracy: 0.8271, prior_entropy: 1, recall: 0.8271, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6957, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 1.3492, build_memory: 1147365154.1992, f_measure: 0.8187, kappa: 0.6376, kb_relative_information_score: 4403.8365, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8195, predictive_accuracy: 0.8188, prior_entropy: 1, recall: 0.8188, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7152, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 2.6406, build_memory: 164131113.5225, f_measure: 0.8271, kappa: 0.6542, kb_relative_information_score: 4441.8833, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8275, predictive_accuracy: 0.8271, prior_entropy: 1, recall: 0.8271, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7051, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, build_cpu_time: 44.7601, build_memory: 1112994331.0537, f_measure: 0.8305, kappa: 0.6611, kb_relative_information_score: 4423.7942, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8307, predictive_accuracy: 0.8306, prior_entropy: 1, recall: 0.8306, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6932, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, build_cpu_time: 0.2181, build_memory: 274152142.5342, f_measure: 0.6671, kappa: 0.3343, kb_relative_information_score: 2504.7114, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6672, predictive_accuracy: 0.6671, prior_entropy: 1, recall: 0.6671, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0079, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, build_cpu_time: 0.5096, build_memory: 541758267.8516, f_measure: 0.6767, kappa: 0.3536, kb_relative_information_score: 2510.2284, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.677, predictive_accuracy: 0.6768, prior_entropy: 1, recall: 0.6768, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, build_cpu_time: 0.5183, build_memory: 354072968.0527, f_measure: 0.6767, kappa: 0.3536, kb_relative_information_score: 2510.2284, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.677, predictive_accuracy: 0.6768, prior_entropy: 1, recall: 0.6768, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, build_cpu_time: 0.4699, build_memory: 306072183.875, f_measure: 0.6767, kappa: 0.3536, kb_relative_information_score: 2510.2284, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.677, predictive_accuracy: 0.6768, prior_entropy: 1, recall: 0.6768, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, build_cpu_time: 0.4433, build_memory: 1008824393.5693, f_measure: 0.6767, kappa: 0.3536, kb_relative_information_score: 2510.2284, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.677, predictive_accuracy: 0.6768, prior_entropy: 1, recall: 0.6768, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 2.5546, build_memory: 168991604.3467, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 4087.5856, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7083, scimark_benchmark: 928.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 2.5762, build_memory: 155830144.8672, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 4087.5856, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7083, scimark_benchmark: 947.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 2.3355, build_memory: 910957732.0098, f_measure: 0.8268, kappa: 0.6536, kb_relative_information_score: 3066.1005, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8268, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7895, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, build_cpu_time: 2.3124, build_memory: 864994367.0645, f_measure: 0.8268, kappa: 0.6536, kb_relative_information_score: 3066.1005, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8268, predictive_accuracy: 0.8268, prior_entropy: 1, recall: 0.8268, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7895, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 809.7131, build_memory: 392840408.4023, f_measure: 0.8336, kappa: 0.6672, kb_relative_information_score: 4518.7771, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8338, predictive_accuracy: 0.8336, prior_entropy: 1, recall: 0.8336, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6882, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, build_cpu_time: 1523.0321, build_memory: 586405257.3555, f_measure: 0.8336, kappa: 0.6672, kb_relative_information_score: 4513.267, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8339, predictive_accuracy: 0.8336, prior_entropy: 1, recall: 0.8336, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.344, root_relative_squared_error: 0.688, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, build_cpu_time: 3.1585, build_memory: 1128732161.8633, f_measure: 0.8241, kappa: 0.6482, kb_relative_information_score: 3980.964, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8241, predictive_accuracy: 0.8241, prior_entropy: 1, recall: 0.8241, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7585, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, build_cpu_time: 0.2278, build_memory: 620138564.4619, f_measure: 0.7277, kappa: 0.4594, kb_relative_information_score: 1991.9932, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7364, predictive_accuracy: 0.7295, prior_entropy: 1, recall: 0.7295, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8783, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, build_cpu_time: 0.1141, build_memory: 945465769.085, f_measure: 0.7282, kappa: 0.4603, kb_relative_information_score: 1992.5794, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7369, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.878, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, build_cpu_time: 0.072, build_memory: 1427134011.7022, f_measure: 0.7285, kappa: 0.4608, kb_relative_information_score: 1994.9747, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7369, predictive_accuracy: 0.7302, prior_entropy: 1, recall: 0.7302, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8775, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, build_cpu_time: 0.0606, build_memory: 455405767.0039, f_measure: 0.7285, kappa: 0.4608, kb_relative_information_score: 1994.9747, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7369, predictive_accuracy: 0.7302, prior_entropy: 1, recall: 0.7302, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8775, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, build_cpu_time: 5.0662, build_memory: 1816509807.1377, f_measure: 0.8241, kappa: 0.6482, kb_relative_information_score: 4598.8316, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8241, predictive_accuracy: 0.8241, prior_entropy: 1, recall: 0.8241, relative_absolute_error: 0.4628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7855, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0231, build_memory: 377388690.0664, f_measure: 0.7291, kappa: 0.4626, kb_relative_information_score: 2000.9503, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7385, predictive_accuracy: 0.7311, prior_entropy: 1, recall: 0.7311, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8768, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.0167, build_memory: 143804932.0693, f_measure: 0.7291, kappa: 0.4633, kb_relative_information_score: 2000.5853, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7403, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8768, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, build_cpu_time: 37.5005, build_memory: 2488537094.709, f_measure: 0.8196, kappa: 0.6391, kb_relative_information_score: 4561.9668, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8196, predictive_accuracy: 0.8196, prior_entropy: 1, recall: 0.8196, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7138, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 102.117, build_memory: 251832872.2129, f_measure: 0.8282, kappa: 0.6565, kb_relative_information_score: 4579.4409, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8283, predictive_accuracy: 0.8282, prior_entropy: 1, recall: 0.8282, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7046, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, build_cpu_time: 138.0388, build_memory: 189483419.8096, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 4596.4423, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8309, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.6992, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, build_cpu_time: 290.6435, build_memory: 1053624533.5322, f_measure: 0.8306, kappa: 0.6611, kb_relative_information_score: 4598.726, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8306, predictive_accuracy: 0.8306, prior_entropy: 1, recall: 0.8306, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.349, root_relative_squared_error: 0.6979, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 587.4592, build_memory: 2876260426.7315, f_measure: 0.8309, kappa: 0.6618, kb_relative_information_score: 4599.491, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8311, predictive_accuracy: 0.8309, prior_entropy: 1, recall: 0.8309, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6966, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, build_cpu_time: 60.4905, build_memory: 273566370.0654, f_measure: 0.83, kappa: 0.6601, kb_relative_information_score: 5350.2783, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8305, predictive_accuracy: 0.8301, prior_entropy: 1, recall: 0.8301, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7755, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, build_cpu_time: 30.8257, build_memory: 1247922379.79, f_measure: 0.8296, kappa: 0.6594, kb_relative_information_score: 5347.1625, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8303, predictive_accuracy: 0.8297, prior_entropy: 1, recall: 0.8297, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7684, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 15.7871, build_memory: 1111024325.2529, f_measure: 0.8265, kappa: 0.653, kb_relative_information_score: 5323.4164, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8269, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7754, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 8.8894, build_memory: 90108904.0313, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 5323.3598, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7668, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, build_cpu_time: 4.3178, build_memory: 759412211.4111, f_measure: 0.822, kappa: 0.644, kb_relative_information_score: 5233.4663, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8221, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7837, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, build_cpu_time: 297.0775, build_memory: 1150289805.7598, f_measure: 0.8317, kappa: 0.6637, kb_relative_information_score: 4253.9243, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8331, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6961, scimark_benchmark: 726.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 384.579, build_memory: 442644013.5527, f_measure: 0.8324, kappa: 0.665, kb_relative_information_score: 4255.574, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8335, predictive_accuracy: 0.8325, prior_entropy: 1, recall: 0.8325, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6944, scimark_benchmark: 924.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 29.8911, build_memory: 615077871.4902, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 4581.071, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6956, scimark_benchmark: 946.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 14.3859, build_memory: 110956998.292, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 4579.7738, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8309, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6973, scimark_benchmark: 924.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 7.239, build_memory: 4992507642.0547, f_measure: 0.8294, kappa: 0.6589, kb_relative_information_score: 4577.4198, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8296, predictive_accuracy: 0.8295, prior_entropy: 1, recall: 0.8295, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6987, scimark_benchmark: 914.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 3.8704, build_memory: 1425333351.6113, f_measure: 0.8274, kappa: 0.6548, kb_relative_information_score: 4564.7518, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8274, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.704, scimark_benchmark: 909.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 3.6902, build_memory: 3556224800.8897, f_measure: 0.8274, kappa: 0.6548, kb_relative_information_score: 4564.7518, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8274, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.704, scimark_benchmark: 908.5638,

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