Task
Supervised Classification on glass

Supervised Classification on glass

Task 3868 Supervised Classification glass 570 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, build_cpu_time: 0.2958, build_memory: 325017029.4953, f_measure: 0.8141, kappa: 0.5887, kb_relative_information_score: 125.5755, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8153, predictive_accuracy: 0.8178, prior_entropy: 0.9397, recall: 0.8178, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8834, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, build_cpu_time: 0.2859, build_memory: 500203649.271, f_measure: 0.7916, kappa: 0.5402, kb_relative_information_score: 90.8769, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7912, predictive_accuracy: 0.7944, prior_entropy: 0.9397, recall: 0.7944, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7642, scimark_benchmark: 926.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, build_cpu_time: 0.0104, build_memory: 1130078093.5327, f_measure: 0.8003, kappa: 0.5585, kb_relative_information_score: 112.0875, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8006, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8654, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, build_cpu_time: 0.0688, build_memory: 1575435770.6168, f_measure: 0.7726, kappa: 0.4984, kb_relative_information_score: 106.2846, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7719, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9603, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 0.0842, build_memory: 649634931.0654, f_measure: 0.8332, kappa: 0.6309, kb_relative_information_score: 100.6766, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8349, predictive_accuracy: 0.8364, prior_entropy: 0.9397, recall: 0.8364, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.7168, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.012, build_memory: 3051648713.4953, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.0114, build_memory: 1372801624.5234, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.0096, build_memory: 1760782446.729, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, build_cpu_time: 0.0076, build_memory: 310251252.1122, f_measure: 0.7994, kappa: 0.5558, kb_relative_information_score: 106.8286, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8007, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.847, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.0097, build_memory: 404959188.785, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, build_cpu_time: 0.0115, build_memory: 2122555623.9252, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, build_cpu_time: 0.0272, build_memory: 532198374.8785, f_measure: 0.7938, kappa: 0.5484, kb_relative_information_score: 111.4615, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7933, predictive_accuracy: 0.7944, prior_entropy: 0.9397, recall: 0.7944, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9138, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, build_cpu_time: 0.09, build_memory: 475871485.1589, f_measure: 0.7829, kappa: 0.5222, kb_relative_information_score: 111.7158, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7821, predictive_accuracy: 0.785, prior_entropy: 0.9397, recall: 0.785, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.94, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8421, kappa: 0.6499, kb_relative_information_score: 139.1445, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8454, predictive_accuracy: 0.8458, prior_entropy: 0.9397, recall: 0.8458, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8206, scimark_benchmark: 915.2795, usercpu_time_millis: 590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8031, kappa: 0.569, kb_relative_information_score: 108.8254, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8027, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.8021, scimark_benchmark: 945.6434, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8046, kappa: 0.5677, kb_relative_information_score: 87.7507, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8055, predictive_accuracy: 0.8084, prior_entropy: 0.9397, recall: 0.8084, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.776, scimark_benchmark: 936.6206, usercpu_time_millis: 16540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 16510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.6541, kappa: 0.2391, kb_relative_information_score: 30.7491, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7044, predictive_accuracy: 0.7009, prior_entropy: 0.9397, recall: 0.7009, relative_absolute_error: 0.873, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9212, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.8361, kappa: 0.6359, kb_relative_information_score: 72.9622, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.842, predictive_accuracy: 0.8411, prior_entropy: 0.9397, recall: 0.8411, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7626, scimark_benchmark: 943.2817, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7994, kappa: 0.5558, kb_relative_information_score: 103.0309, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8007, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8707, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, build_cpu_time: 0.0851, build_memory: 1116004286.5794, f_measure: 0.5858, kappa: 0.0877, kb_relative_information_score: 20.2651, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6002, predictive_accuracy: 0.6402, prior_entropy: 0.9397, recall: 0.6402, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9646, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 915.2795, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8295, kappa: 0.6238, kb_relative_information_score: 125.8241, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8297, predictive_accuracy: 0.8318, prior_entropy: 0.9397, recall: 0.8318, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8394, scimark_benchmark: 943.2817, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7663, kappa: 0.4795, kb_relative_information_score: 63.6279, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7724, predictive_accuracy: 0.7757, prior_entropy: 0.9397, recall: 0.7757, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8747, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8594, kappa: 0.6921, kb_relative_information_score: 116.6853, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8591, predictive_accuracy: 0.8598, prior_entropy: 0.9397, recall: 0.8598, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7176, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5227, kappa: -0.0155, kb_relative_information_score: 30.6563, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5231, predictive_accuracy: 0.6215, prior_entropy: 0.9397, recall: 0.6215, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6152, root_relative_squared_error: 1.2856, scimark_benchmark: 945.0164, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7337, kappa: 0.4113, kb_relative_information_score: 62.2013, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7325, predictive_accuracy: 0.7383, prior_entropy: 0.9397, recall: 0.7383, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9044, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7967, kappa: 0.552, kb_relative_information_score: 116.9812, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7962, predictive_accuracy: 0.7991, prior_entropy: 0.9397, recall: 0.7991, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8869, scimark_benchmark: 938.9865, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.553, kappa: 0.0118, kb_relative_information_score: -8.5993, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5474, predictive_accuracy: 0.5607, prior_entropy: 0.9397, recall: 0.5607, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.6297, root_relative_squared_error: 1.3158, scimark_benchmark: 947.0793, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8427, kappa: 0.652, kb_relative_information_score: 139.8959, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8447, predictive_accuracy: 0.8458, prior_entropy: 0.9397, recall: 0.8458, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8068, scimark_benchmark: 904.3001, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, build_cpu_time: 0.2483, build_memory: 1137655988.5981, f_measure: 0.8072, kappa: 0.5717, kb_relative_information_score: 122.1701, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8117, predictive_accuracy: 0.8131, prior_entropy: 0.9397, recall: 0.8131, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8939, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, build_cpu_time: 0.7719, build_memory: 1588460196.7477, f_measure: 0.8345, kappa: 0.6354, kb_relative_information_score: 134.6355, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8345, predictive_accuracy: 0.8364, prior_entropy: 0.9397, recall: 0.8364, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8359, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, build_cpu_time: 1.4217, build_memory: 1373439735.4019, f_measure: 0.8301, kappa: 0.6261, kb_relative_information_score: 131.2485, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8299, predictive_accuracy: 0.8318, prior_entropy: 0.9397, recall: 0.8318, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8554, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, build_cpu_time: 7.7883, build_memory: 767227222.6542, f_measure: 0.7864, kappa: 0.5284, kb_relative_information_score: 86.9039, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7861, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7846, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, build_cpu_time: 3.4886, build_memory: 3465379437.9813, f_measure: 0.8098, kappa: 0.5795, kb_relative_information_score: 87.2044, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8104, predictive_accuracy: 0.8131, prior_entropy: 0.9397, recall: 0.8131, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7878, scimark_benchmark: 944.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, build_cpu_time: 2.5994, build_memory: 275609750.3178, f_measure: 0.8081, kappa: 0.5743, kb_relative_information_score: 86.0572, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.811, predictive_accuracy: 0.8131, prior_entropy: 0.9397, recall: 0.8131, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7929, scimark_benchmark: 876.9475,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, build_cpu_time: 0.1415, build_memory: 193790500.5607, f_measure: 0.8018, kappa: 0.5638, kb_relative_information_score: 90.2824, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8012, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7735, scimark_benchmark: 922.9935,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5653, build_cpu_time: 0.0581, build_memory: 253359990.8411, f_measure: 0.5292, kappa: 0.0224, kb_relative_information_score: 41.3976, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.5961, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5617, root_relative_squared_error: 1.1737, scimark_benchmark: 928.8874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0239, build_memory: 67702154.7664, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453, scimark_benchmark: 932.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, build_cpu_time: 0.0003, build_memory: 1117194200, f_measure: 0.5056, kb_relative_information_score: -0.1903, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0002, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 0.0796, build_memory: 3359876193.6075, f_measure: 0.809, kappa: 0.5769, kb_relative_information_score: 99.6758, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8105, predictive_accuracy: 0.8131, prior_entropy: 0.9397, recall: 0.8131, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7255, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, build_cpu_time: 0.0521, build_memory: 1281063655.7757, f_measure: 0.8029, kappa: 0.5623, kb_relative_information_score: 78.8883, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8063, predictive_accuracy: 0.8084, prior_entropy: 0.9397, recall: 0.8084, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7848, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, build_cpu_time: 0.1553, build_memory: 45834118.4299, f_measure: 0.8229, kappa: 0.6074, kb_relative_information_score: 99.9509, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8256, predictive_accuracy: 0.8271, prior_entropy: 0.9397, recall: 0.8271, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7213, scimark_benchmark: 943.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, build_cpu_time: 0.0253, build_memory: 532115543.1402, f_measure: 0.7994, kappa: 0.5558, kb_relative_information_score: 76.2867, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8007, predictive_accuracy: 0.8037, prior_entropy: 0.9397, recall: 0.8037, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7955, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, build_cpu_time: 0.0866, build_memory: 3021883326.0187, f_measure: 0.8072, kappa: 0.5717, kb_relative_information_score: 78.1131, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8117, predictive_accuracy: 0.8131, prior_entropy: 0.9397, recall: 0.8131, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7899, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, build_cpu_time: 0.0006, build_memory: 17886522.0187, f_measure: 0.489, kappa: 0.1254, kb_relative_information_score: -25.8509, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6437, predictive_accuracy: 0.5047, prior_entropy: 0.9397, recall: 0.5047, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.7038, root_relative_squared_error: 1.4707, scimark_benchmark: 938.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, build_cpu_time: 0.0004, build_memory: 169453807.6262, f_measure: 0.489, kappa: 0.1254, kb_relative_information_score: -25.8509, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6437, predictive_accuracy: 0.5047, prior_entropy: 0.9397, recall: 0.5047, relative_absolute_error: 1.0805, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.7038, root_relative_squared_error: 1.4707, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, build_cpu_time: 0.0008, build_memory: 408172923.0654, f_measure: 0.5932, kappa: 0.273, kb_relative_information_score: 18.3845, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7344, predictive_accuracy: 0.5981, prior_entropy: 0.9397, recall: 0.5981, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.1306, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, build_cpu_time: 0.1088, build_memory: 238408098.2056, f_measure: 0.5034, kappa: -0.0093, kb_relative_information_score: 40.7368, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4148, predictive_accuracy: 0.6402, prior_entropy: 0.9397, recall: 0.6402, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5669, root_relative_squared_error: 1.1846, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.7632, kappa: 0.4775, kb_relative_information_score: 67.4307, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7622, predictive_accuracy: 0.7664, prior_entropy: 0.9397, recall: 0.7664, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8966, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7203, f_measure: 0.6254, kappa: 0.2855, kb_relative_information_score: 13.9617, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7093, predictive_accuracy: 0.6215, prior_entropy: 0.9397, recall: 0.6215, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9817, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7778, kappa: 0.5104, kb_relative_information_score: 88.0877, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.777, predictive_accuracy: 0.7804, prior_entropy: 0.9397, recall: 0.7804, relative_absolute_error: 0.5968, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8454, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, build_cpu_time: 15.3471, build_memory: 849078751.7757, f_measure: 0.8046, kappa: 0.5677, kb_relative_information_score: 87.7507, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.8055, predictive_accuracy: 0.8084, prior_entropy: 0.9397, recall: 0.8084, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.776, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6648, kappa: 0.2909, kb_relative_information_score: 27.2543, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.6789, predictive_accuracy: 0.6589, prior_entropy: 0.9397, recall: 0.6589, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9731, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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