OpenML
Supervised Classification on space_ga

Supervised Classification on space_ga

Task 3603 Supervised Classification space_ga 544 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 2.3519, build_memory: 1263809612.524, f_measure: 0.841, kappa: 0.6819, kb_relative_information_score: 1740.9346, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8411, predictive_accuracy: 0.841, prior_entropy: 1, recall: 0.841, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6783, scimark_benchmark: 944.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 2.339, build_memory: 554858570.8606, f_measure: 0.841, kappa: 0.6819, kb_relative_information_score: 1740.9346, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8411, predictive_accuracy: 0.841, prior_entropy: 1, recall: 0.841, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6783, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 158.1648, build_memory: 2602172558.4551, f_measure: 0.8455, kappa: 0.6909, kb_relative_information_score: 1713.4724, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8456, predictive_accuracy: 0.8455, prior_entropy: 1, recall: 0.8455, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6755, scimark_benchmark: 927.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 40.7634, build_memory: 1238209233.1304, f_measure: 0.8464, kappa: 0.6929, kb_relative_information_score: 1714.6925, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8466, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6754, scimark_benchmark: 914.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, build_cpu_time: 20.1378, build_memory: 822582598.0406, f_measure: 0.8477, kappa: 0.6954, kb_relative_information_score: 1713.2506, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.848, predictive_accuracy: 0.8478, prior_entropy: 1, recall: 0.8478, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6763, scimark_benchmark: 911.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, build_cpu_time: 10.0553, build_memory: 1204426477.9324, f_measure: 0.8461, kappa: 0.6922, kb_relative_information_score: 1716.6634, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8464, predictive_accuracy: 0.8462, prior_entropy: 1, recall: 0.8462, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6768, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, build_cpu_time: 0.0576, build_memory: 408961944.1081, f_measure: 0.6929, kappa: 0.386, kb_relative_information_score: 1105.4246, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6931, predictive_accuracy: 0.693, prior_entropy: 1, recall: 0.693, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9714, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, build_cpu_time: 0.109, build_memory: 662350542.9572, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 1111.8642, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6975, predictive_accuracy: 0.6975, prior_entropy: 1, recall: 0.6975, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9607, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, build_cpu_time: 0.1292, build_memory: 139619193.9878, f_measure: 0.6974, kappa: 0.3948, kb_relative_information_score: 1111.8642, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6975, predictive_accuracy: 0.6975, prior_entropy: 1, recall: 0.6975, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9607, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.2784, build_memory: 783468087.8249, f_measure: 0.6967, kappa: 0.3935, kb_relative_information_score: 1108.9861, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6969, predictive_accuracy: 0.6968, prior_entropy: 1, recall: 0.6968, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, build_cpu_time: 0.3808, build_memory: 887499836.9411, f_measure: 0.6944, kappa: 0.3889, kb_relative_information_score: 1106.3334, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6947, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9565, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, build_cpu_time: 0.4144, build_memory: 206152648.3193, f_measure: 0.6944, kappa: 0.3889, kb_relative_information_score: 1106.3334, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6947, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9565, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, build_cpu_time: 0.3856, build_memory: 694276375.0756, f_measure: 0.6944, kappa: 0.3889, kb_relative_information_score: 1106.3334, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.6947, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9565, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, build_cpu_time: 0.5639, build_memory: 129599938.3225, f_measure: 0.8722, kappa: 0.7444, kb_relative_information_score: 1804.8578, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8723, predictive_accuracy: 0.8722, prior_entropy: 1, recall: 0.8722, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6352, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, build_cpu_time: 0.5806, build_memory: 233550978.3663, f_measure: 0.8722, kappa: 0.7444, kb_relative_information_score: 1804.8578, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8723, predictive_accuracy: 0.8722, prior_entropy: 1, recall: 0.8722, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6352, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, build_cpu_time: 0.6768, build_memory: 748743831.5649, f_measure: 0.7379, kappa: 0.4778, kb_relative_information_score: 1032.1736, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7421, predictive_accuracy: 0.7387, prior_entropy: 1, recall: 0.7387, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8556, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, build_cpu_time: 0.662, build_memory: 1001359137.2333, f_measure: 0.7379, kappa: 0.4778, kb_relative_information_score: 1032.1736, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7421, predictive_accuracy: 0.7387, prior_entropy: 1, recall: 0.7387, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8556, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, build_cpu_time: 0.6108, build_memory: 1218836103.8713, f_measure: 0.7379, kappa: 0.4778, kb_relative_information_score: 1032.1736, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7421, predictive_accuracy: 0.7387, prior_entropy: 1, recall: 0.7387, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8556, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.0716, build_memory: 112178473.8075, f_measure: 0.8373, kappa: 0.6748, kb_relative_information_score: 1683.4202, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8382, predictive_accuracy: 0.8375, prior_entropy: 1, recall: 0.8375, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6913, scimark_benchmark: 936.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, build_cpu_time: 0.0364, build_memory: 124119948.1738, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1030.5846, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8571, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, build_cpu_time: 0.037, build_memory: 178938601.1535, f_measure: 0.7359, kappa: 0.4739, kb_relative_information_score: 1030.5846, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7406, predictive_accuracy: 0.7367, prior_entropy: 1, recall: 0.7367, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8571, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, build_cpu_time: 193.792, build_memory: 3064791898.7036, f_measure: 0.8679, kappa: 0.7359, kb_relative_information_score: 1974.2207, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8696, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6317, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, build_cpu_time: 445.9983, build_memory: 980269429.711, f_measure: 0.8676, kappa: 0.7353, kb_relative_information_score: 1974.8644, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8692, predictive_accuracy: 0.8677, prior_entropy: 1, recall: 0.8677, relative_absolute_error: 0.3898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.631, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, build_cpu_time: 0.091, build_memory: 445896500.4931, f_measure: 0.7272, kappa: 0.4573, kb_relative_information_score: 828.6238, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7343, predictive_accuracy: 0.729, prior_entropy: 1, recall: 0.729, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8701, scimark_benchmark: 864.1117,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, build_cpu_time: 2.1586, build_memory: 2433187797.263, f_measure: 0.8242, kappa: 0.6484, kb_relative_information_score: 1931.1721, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8247, predictive_accuracy: 0.8243, prior_entropy: 1, recall: 0.8243, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7844, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0122, build_memory: 819163271.8584, f_measure: 0.729, kappa: 0.4605, kb_relative_information_score: 823.1873, mean_absolute_error: 0.3868, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7354, predictive_accuracy: 0.7306, prior_entropy: 1, recall: 0.7306, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8707, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, build_cpu_time: 0.0073, build_memory: 1111654162.9224, f_measure: 0.7318, kappa: 0.4663, kb_relative_information_score: 822.8359, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.7385, predictive_accuracy: 0.7335, prior_entropy: 1, recall: 0.7335, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8722, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 97.4267, build_memory: 2060394348.5085, f_measure: 0.8619, kappa: 0.7237, kb_relative_information_score: 1918.2726, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8624, predictive_accuracy: 0.8619, prior_entropy: 1, recall: 0.8619, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6437, scimark_benchmark: 902.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, build_cpu_time: 247.1675, build_memory: 136065096.2626, f_measure: 0.8664, kappa: 0.7328, kb_relative_information_score: 1908.3149, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8669, predictive_accuracy: 0.8664, prior_entropy: 1, recall: 0.8664, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6381, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 322.059, build_memory: 3657443754.8375, f_measure: 0.8664, kappa: 0.7328, kb_relative_information_score: 1913.1304, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8668, predictive_accuracy: 0.8664, prior_entropy: 1, recall: 0.8664, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6339, scimark_benchmark: 944.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, build_cpu_time: 714.7091, build_memory: 987840496.9424, f_measure: 0.8661, kappa: 0.7321, kb_relative_information_score: 1914.2938, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8664, predictive_accuracy: 0.8661, prior_entropy: 1, recall: 0.8661, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6318, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 1344.9676, build_memory: 1414575752.7235, f_measure: 0.8644, kappa: 0.7289, kb_relative_information_score: 1912.3976, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8649, predictive_accuracy: 0.8645, prior_entropy: 1, recall: 0.8645, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.316, root_relative_squared_error: 0.632, scimark_benchmark: 928.3063,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, build_cpu_time: 2.4535, build_memory: 1243369575.14, f_measure: 0.8136, kappa: 0.6273, kb_relative_information_score: 1930.9444, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8136, predictive_accuracy: 0.8136, prior_entropy: 1, recall: 0.8136, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, build_cpu_time: 2.5218, build_memory: 939122085.2166, f_measure: 0.8136, kappa: 0.6273, kb_relative_information_score: 1930.9444, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8136, predictive_accuracy: 0.8136, prior_entropy: 1, recall: 0.8136, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8149, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, build_cpu_time: 52.3869, build_memory: 886044493.9376, f_measure: 0.8376, kappa: 0.6754, kb_relative_information_score: 1632.844, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8386, predictive_accuracy: 0.8378, prior_entropy: 1, recall: 0.8378, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6877, scimark_benchmark: 948.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, build_cpu_time: 105.5462, build_memory: 516759926.5555, f_measure: 0.8396, kappa: 0.6793, kb_relative_information_score: 1633.9907, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8404, predictive_accuracy: 0.8397, prior_entropy: 1, recall: 0.8397, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6867, scimark_benchmark: 914.1797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, build_cpu_time: 6.6556, build_memory: 140867571.9009, f_measure: 0.8329, kappa: 0.6658, kb_relative_information_score: 1719.2203, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8331, predictive_accuracy: 0.833, prior_entropy: 1, recall: 0.833, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6872, scimark_benchmark: 945.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, build_cpu_time: 3.2803, build_memory: 104839354.477, f_measure: 0.8342, kappa: 0.6684, kb_relative_information_score: 1718.244, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6876, scimark_benchmark: 941.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 1.7246, build_memory: 1513549452.1893, f_measure: 0.8319, kappa: 0.6639, kb_relative_information_score: 1717.7781, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.5, number_of_instances: 3107, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6892, scimark_benchmark: 928.7179,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs