Task
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3061 Supervised Classification squash-unstored 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, build_cpu_time: 0.007, build_memory: 3532610360, f_measure: 0.4749, kappa: 0.1656, kb_relative_information_score: 5.5231, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4471, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0906, scimark_benchmark: 944.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, build_cpu_time: 0.032, build_memory: 687286320, f_measure: 0.4749, kappa: 0.1656, kb_relative_information_score: 4.7626, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4471, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.1177, scimark_benchmark: 947.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, build_cpu_time: 0.065, build_memory: 493462984, f_measure: 0.4749, kappa: 0.1656, kb_relative_information_score: 5.1033, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4471, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0959, scimark_benchmark: 938.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, build_cpu_time: 0.221, build_memory: 176520816, f_measure: 0.4508, kappa: 0.2229, kb_relative_information_score: 4.5181, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4278, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4663, root_relative_squared_error: 1.0091, scimark_benchmark: 934.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, build_cpu_time: 0.016, build_memory: 2998973984, f_measure: 0.4508, kappa: 0.2229, kb_relative_information_score: 4.5659, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4278, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0878, scimark_benchmark: 944.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 4.149, build_memory: 158726576, f_measure: 0.4231, kappa: 0.0947, kb_relative_information_score: 4.501, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.3856, predictive_accuracy: 0.4706, prior_entropy: 1.3486, recall: 0.4706, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9753, scimark_benchmark: 930.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, build_cpu_time: 2.324, build_memory: 1609476688, f_measure: 0.4706, kappa: 0.2047, kb_relative_information_score: 4.4136, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4314, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9752, scimark_benchmark: 942.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, build_cpu_time: 1.472, build_memory: 748648200, f_measure: 0.4706, kappa: 0.2047, kb_relative_information_score: 4.5657, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4314, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9758, scimark_benchmark: 1234.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, build_cpu_time: 0.739, build_memory: 1109930600, f_measure: 0.4706, kappa: 0.2047, kb_relative_information_score: 4.5119, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4314, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.979, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, build_cpu_time: 0.208, build_memory: 118164552, f_measure: 0.5157, kappa: 0.3121, kb_relative_information_score: 5.0919, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4807, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9741, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, build_cpu_time: 0.004, build_memory: 82813288, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.5698, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0858, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, build_cpu_time: 0.002, build_memory: 799697312, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.4012, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0821, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, build_cpu_time: 0.006, build_memory: 2868371528, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.2523, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0775, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, build_cpu_time: 0.007, build_memory: 228577096, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.2523, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0775, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, build_cpu_time: 0.012, build_memory: 555598784, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.2696, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0795, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, build_cpu_time: 0.021, build_memory: 306796512, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 4.2229, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0858, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, build_cpu_time: 152.926, build_memory: 49157632, f_measure: 0.5325, kappa: 0.2788, kb_relative_information_score: 6.9803, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.492, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8956, scimark_benchmark: 925.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, build_cpu_time: 48.495, build_memory: 317477280, f_measure: 0.5325, kappa: 0.2788, kb_relative_information_score: 7.1624, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.492, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8916, scimark_benchmark: 935.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, build_cpu_time: 0.024, build_memory: 658103008, f_measure: 0.6409, kappa: 0.4848, kb_relative_information_score: 7.0832, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5936, predictive_accuracy: 0.7059, prior_entropy: 1.3486, recall: 0.7059, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9379, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, build_cpu_time: 0.066, build_memory: 1365478336, f_measure: 0.5157, kappa: 0.3121, kb_relative_information_score: 5.3182, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4807, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9024, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, build_cpu_time: 0.062, build_memory: 825329536, f_measure: 0.5157, kappa: 0.3121, kb_relative_information_score: 5.3182, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4807, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9024, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.011, build_memory: 432714112, f_measure: 0.578, kappa: 0.2917, kb_relative_information_score: 6.1244, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6449, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9752, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.006, build_memory: 345363888, f_measure: 0.578, kappa: 0.2917, kb_relative_information_score: 6.1244, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6449, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9752, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, build_cpu_time: 0.006, build_memory: 643308944, f_measure: 0.578, kappa: 0.2917, kb_relative_information_score: 6.0134, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6449, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0054, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.003, build_memory: 824907992, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 5.8728, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9865, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.004, build_memory: 1409176592, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 5.8728, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9865, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, build_cpu_time: 0.002, build_memory: 1361817656, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 5.8728, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9865, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, build_cpu_time: 0.149, build_memory: 2289129280, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.341, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8842, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, build_cpu_time: 0.21, build_memory: 554756808, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.2874, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8918, scimark_benchmark: 911.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, build_cpu_time: 0.175, build_memory: 561871456, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.2874, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8918, scimark_benchmark: 938.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 0.497, build_memory: 2102144904, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.2173, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.415, root_relative_squared_error: 0.898, scimark_benchmark: 945.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, build_cpu_time: 0.528, build_memory: 2203517136, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.2173, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.415, root_relative_squared_error: 0.898, scimark_benchmark: 939.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, build_cpu_time: 1.701, build_memory: 1290226904, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.1603, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9022, scimark_benchmark: 870.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, build_cpu_time: 0.016, build_memory: 804227192, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.7078, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8965, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, build_cpu_time: 0.008, build_memory: 515493672, f_measure: 0.5289, kappa: 0.2959, kb_relative_information_score: 5.3089, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.482, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9288, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, build_cpu_time: 0.002, build_memory: 910953520, f_measure: 0.4706, kappa: 0.2047, kb_relative_information_score: 4.9732, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.4314, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9232, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, build_cpu_time: 0.011, build_memory: 2388118704, f_measure: 0.4786, kappa: 0.1856, kb_relative_information_score: 2.3641, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.437, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0317, scimark_benchmark: 941.5201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, build_cpu_time: 2.218, build_memory: 158019392, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 6.6791, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.524, root_relative_squared_error: 1.1338, scimark_benchmark: 873.8637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, build_cpu_time: 0.808, build_memory: 293539464, f_measure: 0.5852, kappa: 0.3892, kb_relative_information_score: 6.1263, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5345, predictive_accuracy: 0.6471, prior_entropy: 1.3486, recall: 0.6471, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0701, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, build_cpu_time: 1.031, build_memory: 768818176, f_measure: 0.5325, kappa: 0.2788, kb_relative_information_score: 5.1344, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.492, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.1415, scimark_benchmark: 931.6517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, build_cpu_time: 0.205, build_memory: 601102728, f_measure: 0.6373, kappa: 0.4, kb_relative_information_score: 8.1057, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6941, predictive_accuracy: 0.6471, prior_entropy: 1.3486, recall: 0.6471, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.0439, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, build_cpu_time: 0.013, build_memory: 648701512, f_measure: 0.6409, kappa: 0.4848, kb_relative_information_score: 8.1358, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5936, predictive_accuracy: 0.7059, prior_entropy: 1.3486, recall: 0.7059, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9382, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, build_cpu_time: 0.018, build_memory: 335150896, f_measure: 0.6409, kappa: 0.4848, kb_relative_information_score: 8.1358, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5936, predictive_accuracy: 0.7059, prior_entropy: 1.3486, recall: 0.7059, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.9382, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, build_cpu_time: 0.003, build_memory: 600223104, f_measure: 0.5261, kappa: 0.2, kb_relative_information_score: 5.6377, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.5882, predictive_accuracy: 0.5294, prior_entropy: 1.3486, recall: 0.5294, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.151, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, build_cpu_time: 0.004, build_memory: 1452224768, f_measure: 0.5822, kappa: 0.3081, kb_relative_information_score: 6.9706, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.6396, predictive_accuracy: 0.5882, prior_entropy: 1.3486, recall: 0.5882, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0551, scimark_benchmark: 909.5718,

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