Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 0.0325, build_memory: 1467054620.5125, f_measure: 0.6353, kappa: 0.1698, kb_relative_information_score: 50.1218, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.633, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9574, scimark_benchmark: 917.1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, build_cpu_time: 0.0833, build_memory: 1036370340.3661, f_measure: 0.6307, kappa: 0.1601, kb_relative_information_score: 51.7324, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.627, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9502, scimark_benchmark: 940.3129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, build_cpu_time: 0.9627, build_memory: 1346037047.9867, f_measure: 0.6505, kappa: 0.2051, kb_relative_information_score: 53.7369, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6485, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.944, scimark_benchmark: 933.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 0.2748, build_memory: 1611866072.6389, f_measure: 0.661, kappa: 0.2291, kb_relative_information_score: 55.5507, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6601, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9424, scimark_benchmark: 945.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, build_cpu_time: 0.3186, build_memory: 247838983.787, f_measure: 0.661, kappa: 0.2291, kb_relative_information_score: 55.5507, mean_absolute_error: 0.4031, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6601, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9424, scimark_benchmark: 945.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, build_cpu_time: 3.2305, build_memory: 2757133526.7488, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -13.6287, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131, scimark_benchmark: 945.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, build_cpu_time: 2.0928, build_memory: 1249450814.3494, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -14.544, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0139, scimark_benchmark: 844.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, build_cpu_time: 0.025, build_memory: 918385255.7737, f_measure: 0.6346, kappa: 0.1861, kb_relative_information_score: 184.2127, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7019, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9922, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 0.0613, build_memory: 1110436997.604, f_measure: 0.8222, kappa: 0.5961, kb_relative_information_score: 331.2958, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.833, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.734, scimark_benchmark: 941.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, build_cpu_time: 0.1277, build_memory: 1247480225.8902, f_measure: 0.934, kappa: 0.8517, kb_relative_information_score: 485.4293, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9367, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4685, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.2922, build_memory: 864292172.3661, f_measure: 0.9766, kappa: 0.9477, kb_relative_information_score: 562.0288, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.977, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.2776, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.6032, build_memory: 547054497.4509, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 592.0779, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1226, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 408.2373, build_memory: 1771270110.5092, f_measure: 0.7803, kappa: 0.5031, kb_relative_information_score: 131.9962, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7823, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8402, scimark_benchmark: 944.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, build_cpu_time: 416.5065, build_memory: 157128940.3394, f_measure: 0.7803, kappa: 0.5031, kb_relative_information_score: 131.9962, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7823, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8402, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, build_cpu_time: 225.1639, build_memory: 718557782.1764, f_measure: 0.791, kappa: 0.5275, kb_relative_information_score: 130.3804, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.793, predictive_accuracy: 0.797, prior_entropy: 0.9279, recall: 0.797, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8425, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, build_cpu_time: 103.4839, build_memory: 2042234880.812, f_measure: 0.7674, kappa: 0.4746, kb_relative_information_score: 129.5162, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.768, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8447, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, build_cpu_time: 50.6446, build_memory: 528973527.9201, f_measure: 0.7788, kappa: 0.5014, kb_relative_information_score: 134.4718, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7788, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8422, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, build_cpu_time: 23.8417, build_memory: 787252295.6805, f_measure: 0.7546, kappa: 0.4463, kb_relative_information_score: 133.3103, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.754, predictive_accuracy: 0.7604, prior_entropy: 0.9279, recall: 0.7604, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8463, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, build_cpu_time: 0.0023, build_memory: 2997945086.416, f_measure: 0.5213, kb_relative_information_score: -3.8082, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9936, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, build_cpu_time: 0.0033, build_memory: 870643868.6057, f_measure: 0.5213, kb_relative_information_score: -3.8082, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9936, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, build_cpu_time: 0.0042, build_memory: 801815578.7953, f_measure: 0.5213, kb_relative_information_score: -1.8376, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9907, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, build_cpu_time: 0.6939, build_memory: 74565408.6922, f_measure: 0.6359, kappa: 0.1894, kb_relative_information_score: 138.4793, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7067, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9317, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, build_cpu_time: 0.0096, build_memory: 686824836.02, f_measure: 0.5213, kb_relative_information_score: -1.4503, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9898, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, build_cpu_time: 0.6535, build_memory: 753034612.9917, f_measure: 0.5777, kappa: 0.077, kb_relative_information_score: 60.632, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6433, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9599, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, build_cpu_time: 0.0154, build_memory: 969526969.1448, f_measure: 0.5213, kb_relative_information_score: -2.0209, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, build_cpu_time: 0.7724, build_memory: 192064808.1597, f_measure: 0.6129, kappa: 0.1389, kb_relative_information_score: 76.8309, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6664, predictive_accuracy: 0.6805, prior_entropy: 0.9279, recall: 0.6805, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9253, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, build_cpu_time: 0.7449, build_memory: 1002637516.3128, f_measure: 0.6129, kappa: 0.1389, kb_relative_information_score: 76.8309, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6664, predictive_accuracy: 0.6805, prior_entropy: 0.9279, recall: 0.6805, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9253, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, build_cpu_time: 0.0275, build_memory: 2265957528.6123, f_measure: 0.5213, kb_relative_information_score: -1.7207, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904, scimark_benchmark: 942.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 231.7047, build_memory: 2055228062.5358, f_measure: 1, kappa: 1, kb_relative_information_score: 596.2146, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.005, root_relative_squared_error: 0.0105, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 123.7129, build_memory: 711053507.1015, f_measure: 1, kappa: 1, kb_relative_information_score: 596.205, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.005, root_relative_squared_error: 0.0106, scimark_benchmark: 931.2177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, build_cpu_time: 0.0101, build_memory: 55182307.6339, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -14.8457, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9279, recall: 0.5824, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131, scimark_benchmark: 931.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, build_cpu_time: 0.0147, build_memory: 795008951.4676, f_measure: 0.7225, kappa: 0.3895, kb_relative_information_score: 206.2835, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7254, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1114, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, build_cpu_time: 0.0146, build_memory: 186224865.0383, f_measure: 0.7225, kappa: 0.3895, kb_relative_information_score: 206.2835, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7254, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1114, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, build_cpu_time: 0.0159, build_memory: 1405142861.6173, f_measure: 0.7225, kappa: 0.3895, kb_relative_information_score: 206.2835, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7254, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1114, scimark_benchmark: 941.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, build_cpu_time: 0.0378, build_memory: 962111448.5324, f_measure: 0.5084, kappa: -0.052, kb_relative_information_score: -11.8953, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4258, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0068, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2737, build_memory: 575168895.228, f_measure: 1, kappa: 1, kb_relative_information_score: 519.2505, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2146, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2204, build_memory: 857666291.594, f_measure: 1, kappa: 1, kb_relative_information_score: 519.2505, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2146, scimark_benchmark: 940.6012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, build_cpu_time: 0.0004, build_memory: 393202502.6955, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -13.1484, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072, scimark_benchmark: 945.8881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.0003, build_memory: 1034716738.1298, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, build_cpu_time: 0.0037, build_memory: 469553417.1714, f_measure: 0.5256, kappa: -0.0336, kb_relative_information_score: -9.1583, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5052, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.0132, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, build_cpu_time: 0.0749, build_memory: 334667903.8003, f_measure: 0.6858, kappa: 0.313, kb_relative_information_score: 134.0356, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6914, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8862, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, build_cpu_time: 0.0008, build_memory: 314138480, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, build_cpu_time: 0.0348, build_memory: 1101975976.9717, f_measure: 0.8879, kappa: 0.7475, kb_relative_information_score: 313.7931, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8907, predictive_accuracy: 0.8902, prior_entropy: 0.9279, recall: 0.8902, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.638, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, build_cpu_time: 0.8793, build_memory: 915552025.797, f_measure: 0.8952, kappa: 0.7676, kb_relative_information_score: 453.2589, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8953, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6222, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, build_cpu_time: 1.9134, build_memory: 1824416754.782, f_measure: 0.9283, kappa: 0.8406, kb_relative_information_score: 502.3557, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9282, predictive_accuracy: 0.9285, prior_entropy: 0.9279, recall: 0.9285, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5136, scimark_benchmark: 925.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, build_cpu_time: 3.591, build_memory: 648181857.025, f_measure: 0.9282, kappa: 0.8403, kb_relative_information_score: 500.807, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9282, predictive_accuracy: 0.9285, prior_entropy: 0.9279, recall: 0.9285, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5407, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, build_cpu_time: 6.9243, build_memory: 679561521.9301, f_measure: 0.955, kappa: 0.9002, kb_relative_information_score: 538.397, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4297, scimark_benchmark: 883.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, build_cpu_time: 0.0495, build_memory: 237176126.6822, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -14.8449, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9279, recall: 0.5824, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.0267, build_memory: 100442184.1864, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.028, build_memory: 964895425.7837, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.0383, build_memory: 333307965.4043, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, build_cpu_time: 0.3269, build_memory: 594443921.2512, f_measure: 0.8387, kappa: 0.6471, kb_relative_information_score: 372.8547, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8428, predictive_accuracy: 0.8369, prior_entropy: 0.9279, recall: 0.8369, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8417, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, build_cpu_time: 0.1685, build_memory: 88144664.4126, f_measure: 0.8306, kappa: 0.6295, kb_relative_information_score: 361.0208, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.835, predictive_accuracy: 0.8286, prior_entropy: 0.9279, recall: 0.8286, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8518, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 0.0923, build_memory: 891941217.5707, f_measure: 0.8103, kappa: 0.5835, kb_relative_information_score: 333.9858, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8134, predictive_accuracy: 0.8087, prior_entropy: 0.9279, recall: 0.8087, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8724, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.0628, build_memory: 1250078177.0516, f_measure: 0.7849, kappa: 0.5309, kb_relative_information_score: 295.7822, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7909, predictive_accuracy: 0.782, prior_entropy: 0.9279, recall: 0.782, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8998, scimark_benchmark: 890.3066,

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