Task
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 20597 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.7777, build_memory: 233655851.2723, f_measure: 0.9678, kappa: 0.9533, kb_relative_information_score: 769.0202, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 1.7898, recall: 0.9679, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2869, scimark_benchmark: 927.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1.7458, build_memory: 34527940.4138, f_measure: 0.9691, kappa: 0.955, kb_relative_information_score: 769.6013, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9697, predictive_accuracy: 0.9691, prior_entropy: 1.7898, recall: 0.9691, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2825, scimark_benchmark: 942.1793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 2.9699, build_memory: 1566106958.4685, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 771.056, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9732, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2785, scimark_benchmark: 942.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, build_cpu_time: 5.8545, build_memory: 159474569.17, f_measure: 0.9703, kappa: 0.9567, kb_relative_information_score: 770.2009, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9709, predictive_accuracy: 0.9703, prior_entropy: 1.7898, recall: 0.9703, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2795, scimark_benchmark: 942.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 30.0058, build_memory: 138323155.6243, f_measure: 0.9655, kappa: 0.9499, kb_relative_information_score: 768.7146, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9656, predictive_accuracy: 0.9655, prior_entropy: 1.7898, recall: 0.9655, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.2809, scimark_benchmark: 788.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 259.1195, build_memory: 188559946.321, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.3698, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1081, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 156.6567, build_memory: 37790250.6445, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.7907, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1068, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 46.789, build_memory: 410555755.5386, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.1404, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1081, scimark_benchmark: 1317.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 33.9814, build_memory: 630026158.5065, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 826.0584, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1097, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 15.8162, build_memory: 235437264.3044, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 826.6532, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.1111, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 0.004, build_memory: 1747719611.1772, f_measure: 0.8512, kappa: 0.8193, kb_relative_information_score: 509.8069, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8318, predictive_accuracy: 0.8775, prior_entropy: 1.7898, recall: 0.8775, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.6411, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, build_cpu_time: 0.0058, build_memory: 36719042.9013, f_measure: 0.8567, kappa: 0.828, kb_relative_information_score: 506.7987, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8364, predictive_accuracy: 0.8835, prior_entropy: 1.7898, recall: 0.8835, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.6463, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 0.0111, build_memory: 1931339722.635, f_measure: 0.859, kappa: 0.8314, kb_relative_information_score: 501.9891, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8386, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6534, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, build_cpu_time: 0.0113, build_memory: 1559491972.8609, f_measure: 0.859, kappa: 0.8314, kb_relative_information_score: 501.9891, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8386, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.6534, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, build_cpu_time: 0.0203, build_memory: 598318501.4316, f_measure: 0.859, kappa: 0.8314, kb_relative_information_score: 500.1234, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8384, predictive_accuracy: 0.8859, prior_entropy: 1.7898, recall: 0.8859, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6581, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, build_cpu_time: 0.051, build_memory: 86032485.9453, f_measure: 0.8547, kappa: 0.8245, kb_relative_information_score: 504.0344, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8351, predictive_accuracy: 0.8811, prior_entropy: 1.7898, recall: 0.8811, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.6507, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 5373.7261, build_memory: 978492988.7467, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 831.1482, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0368, root_relative_squared_error: 0.0888, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 2690.7011, build_memory: 907284245.2033, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 831.2616, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 1.7898, recall: 0.9988, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0364, root_relative_squared_error: 0.0877, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 1.5323, build_memory: 1647899449.6552, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 826.823, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.1681, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 1.5137, build_memory: 968339818.9489, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 826.823, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.1681, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 0.5925, build_memory: 656147758.5256, f_measure: 0.6835, kappa: 0.577, kb_relative_information_score: 425.497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6648, predictive_accuracy: 0.7229, prior_entropy: 1.7898, recall: 0.7229, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7265, scimark_benchmark: 899.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, build_cpu_time: 0.6268, build_memory: 154747523.434, f_measure: 0.6835, kappa: 0.577, kb_relative_information_score: 425.497, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6648, predictive_accuracy: 0.7229, prior_entropy: 1.7898, recall: 0.7229, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.7265, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 9.8088, build_memory: 1206372894.088, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 761.0586, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0933, root_relative_squared_error: 0.2251, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, build_cpu_time: 0.067, build_memory: 930987614.5826, f_measure: 0.6589, kappa: 0.5394, kb_relative_information_score: 428.0455, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.6546, predictive_accuracy: 0.7004, prior_entropy: 1.7898, recall: 0.7004, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.7542, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 3.0408, build_memory: 2826214825.9976, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 718.613, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2965, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 11.54, build_memory: 674089728.7705, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 718.6018, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2956, scimark_benchmark: 846.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 42.3388, build_memory: 1471936413.0131, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 718.3902, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2961, scimark_benchmark: 899.8262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.3838, build_memory: 1044640767.981, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 728.554, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2884, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 0.3878, build_memory: 1032731891.2152, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 728.554, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2884, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 0.1995, build_memory: 467188379.1867, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 728.9113, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2935, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.3711, build_memory: 1913236131.7669, f_measure: 0.9512, kappa: 0.929, kb_relative_information_score: 747.3029, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.3287, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 0.747, build_memory: 850507082.9679, f_measure: 0.9524, kappa: 0.9307, kb_relative_information_score: 748.2604, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3237, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 0.8104, build_memory: 1085497750.7348, f_measure: 0.9524, kappa: 0.9307, kb_relative_information_score: 748.2604, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 1.7898, recall: 0.9524, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3237, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 1.8151, build_memory: 698323003.2913, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 748.2001, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.3223, scimark_benchmark: 938.2576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, build_cpu_time: 3.0264, build_memory: 745155643.9762, f_measure: 0.9536, kappa: 0.9324, kb_relative_information_score: 747.7817, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9538, predictive_accuracy: 0.9536, prior_entropy: 1.7898, recall: 0.9536, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.3234, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 9.6517, build_memory: 715724019.4816, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 368.7876, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.7482, scimark_benchmark: 944.9156,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 32.8214, build_memory: 1586817135.8859, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 833.7505, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 61.5504, build_memory: 305508015.1344, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 834.883, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1177, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 120.676, build_memory: 933950991.5434, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 837.4136, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0837, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 237.4461, build_memory: 1999304477.308, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 836.0878, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9965, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.1016, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 2349.6977, build_memory: 631534705.893, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 829.2087, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1492, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 566.3384, build_memory: 596401389.0131, f_measure: 0.9869, kappa: 0.981, kb_relative_information_score: 824.8557, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 1.7898, recall: 0.9869, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1789, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 288.2298, build_memory: 767870879.7907, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 820.4162, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1945, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 141.05, build_memory: 573605218.8347, f_measure: 0.9715, kappa: 0.9584, kb_relative_information_score: 804.3611, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 1.7898, recall: 0.9715, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2674, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, build_cpu_time: 13.2938, build_memory: 1181285607.4102, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 827.2196, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.186, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 6.9702, build_memory: 934575032.3044, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.5271, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.142, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 3.6834, build_memory: 971235898.2449, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 832.2242, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1448, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 2.0032, build_memory: 1357715114.9108, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 830.3252, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1628, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 1.0005, build_memory: 803024635.6338, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 831.2805, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1513, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, build_cpu_time: 0.0865, build_memory: 471955016.5517, f_measure: 0.8439, kappa: 0.7814, kb_relative_information_score: 490.9535, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8593, predictive_accuracy: 0.8526, prior_entropy: 1.7898, recall: 0.8526, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.6163, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, build_cpu_time: 0.2158, build_memory: 1554148947.9572, f_measure: 0.8795, kappa: 0.8266, kb_relative_information_score: 581.8529, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.8835, predictive_accuracy: 0.8823, prior_entropy: 1.7898, recall: 0.8823, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.5271, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, build_cpu_time: 0.3706, build_memory: 690370522.0927, f_measure: 0.8973, kappa: 0.8531, kb_relative_information_score: 616.4185, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9033, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4931, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.3194, build_memory: 1153891990.3258, f_measure: 0.8973, kappa: 0.8531, kb_relative_information_score: 616.8248, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9033, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4926, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 0.3741, build_memory: 908864462.5351, f_measure: 0.8973, kappa: 0.8531, kb_relative_information_score: 616.8248, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9033, predictive_accuracy: 0.9001, prior_entropy: 1.7898, recall: 0.9001, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4926, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.323, build_memory: 402036457.1034, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.3646, build_memory: 184491526.8966, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.374, build_memory: 365246591.9715, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.3316, build_memory: 167131027.1201, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.3329, build_memory: 390644406.6683, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 733.0986, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2797, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.01, build_memory: 2073792285.1558, f_measure: 0.9037, kappa: 0.8599, kb_relative_information_score: 728.0139, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9039, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, build_cpu_time: 0.0066, build_memory: 1968793445.6504, f_measure: 0.9037, kappa: 0.8599, kb_relative_information_score: 728.0139, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9039, predictive_accuracy: 0.9037, prior_entropy: 1.7898, recall: 0.9037, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.5293, scimark_benchmark: 939.084,

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