Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 24833 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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24833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8141, kappa: 0.7161, kb_relative_information_score: 327.688, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7849, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6403, scimark_benchmark: 2011.7015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 301.8087, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.6308, scimark_benchmark: 2013.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7453, kappa: 0.5835, kb_relative_information_score: 309.0908, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7184, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7846, scimark_benchmark: 2009.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5594, kappa: 0.2285, kb_relative_information_score: 67.1852, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5379, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9778, scimark_benchmark: 2020.8213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 2018.9218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.6967, kappa: 0.4926, kb_relative_information_score: 226.4828, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6695, predictive_accuracy: 0.7264, prior_entropy: 1.3212, recall: 0.7264, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.7467, scimark_benchmark: 2016.8894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9015, kappa: 0.8207, kb_relative_information_score: 486.0961, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9096, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4801, scimark_benchmark: 1948.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8487, kappa: 0.7864, kb_relative_information_score: 214.0749, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8155, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7856, scimark_benchmark: 2004.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 944.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8431, kappa: 0.7715, kb_relative_information_score: 214.6787, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8192, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.742, scimark_benchmark: 946.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 214.6078, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7339, scimark_benchmark: 944.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.6861, kappa: 0.4654, kb_relative_information_score: 197.7503, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6702, predictive_accuracy: 0.7088, prior_entropy: 1.3212, recall: 0.7088, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.8721, scimark_benchmark: 947.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 920.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.8057, kappa: 0.6459, kb_relative_information_score: 363.5708, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8165, predictive_accuracy: 0.7952, prior_entropy: 1.3212, recall: 0.7952, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.8483, scimark_benchmark: 943.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7689, kappa: 0.632, kb_relative_information_score: 319.2449, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7398, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7714, scimark_benchmark: 926.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 214.7627, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7335, scimark_benchmark: 916.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7956, kappa: 0.6218, kb_relative_information_score: 347.7098, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8143, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.8169, scimark_benchmark: 919.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.838, kappa: 0.7656, kb_relative_information_score: 345.5404, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8051, predictive_accuracy: 0.8736, prior_entropy: 1.3212, recall: 0.8736, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.263, root_relative_squared_error: 0.6039, scimark_benchmark: 945.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8693, kappa: 0.7944, kb_relative_information_score: 426.6741, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8569, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5406, scimark_benchmark: 890.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8717, kappa: 0.8309, kb_relative_information_score: 223.603, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8376, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7675, scimark_benchmark: 903.3999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8154, kappa: 0.6817, kb_relative_information_score: 394.125, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8106, predictive_accuracy: 0.8208, prior_entropy: 1.3212, recall: 0.8208, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.7099, scimark_benchmark: 926.7065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9212, kappa: 0.8861, kb_relative_information_score: 494.5868, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.933, predictive_accuracy: 0.9376, prior_entropy: 1.3212, recall: 0.9376, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.41, scimark_benchmark: 949.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8717, kappa: 0.8309, kb_relative_information_score: 222.7175, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8376, predictive_accuracy: 0.9088, prior_entropy: 1.3212, recall: 0.9088, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7699, scimark_benchmark: 912.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8334, kappa: 0.7567, kb_relative_information_score: 207.7227, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8007, predictive_accuracy: 0.8688, prior_entropy: 1.3212, recall: 0.8688, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7974, scimark_benchmark: 948.0991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.3939, kappa: -0.0059, kb_relative_information_score: 0.0472, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.4196, predictive_accuracy: 0.4576, prior_entropy: 1.3212, recall: 0.4576, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4356, root_relative_squared_error: 1, scimark_benchmark: 920.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7441, kappa: 0.579, kb_relative_information_score: 302.0194, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7196, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8186, scimark_benchmark: 909.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8236, kappa: 0.6844, kb_relative_information_score: 366.6608, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8282, predictive_accuracy: 0.8192, prior_entropy: 1.3212, recall: 0.8192, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6675, scimark_benchmark: 948.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7628, kappa: 0.5978, kb_relative_information_score: 320.2411, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7525, predictive_accuracy: 0.776, prior_entropy: 1.3212, recall: 0.776, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8233, scimark_benchmark: 949.3574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 211.534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8096, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7904, scimark_benchmark: 944.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 942.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8284, kappa: 0.743, kb_relative_information_score: 325.5405, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.627, scimark_benchmark: 947.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9845, kappa: 0.9721, kb_relative_information_score: 339.7167, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.986, predictive_accuracy: 0.984, prior_entropy: 1.3212, recall: 0.984, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.279, root_relative_squared_error: 0.6406, scimark_benchmark: 947.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8565, kappa: 0.8012, kb_relative_information_score: 217.2509, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8234, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7796, scimark_benchmark: 943.0628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8651, kappa: 0.8162, kb_relative_information_score: 384.6947, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.833, predictive_accuracy: 0.9008, prior_entropy: 1.3212, recall: 0.9008, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5694, scimark_benchmark: 929.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 921.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7311, kappa: 0.5584, kb_relative_information_score: 283.6663, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7035, predictive_accuracy: 0.7616, prior_entropy: 1.3212, recall: 0.7616, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8244, scimark_benchmark: 948.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8365, kappa: 0.7626, kb_relative_information_score: 208.9932, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8039, predictive_accuracy: 0.872, prior_entropy: 1.3212, recall: 0.872, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7951, scimark_benchmark: 911.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 948.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8284, kappa: 0.743, kb_relative_information_score: 326.1226, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.4734, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.6261, scimark_benchmark: 946.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7648, kappa: 0.5991, kb_relative_information_score: 321.7765, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7565, predictive_accuracy: 0.776, prior_entropy: 1.3212, recall: 0.776, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8252, scimark_benchmark: 948.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 299.5828, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3212, recall: 0.9168, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.7389, scimark_benchmark: 927.2055,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5515, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 946.78,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8172, kappa: 0.6673, kb_relative_information_score: 357.9117, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8267, predictive_accuracy: 0.808, prior_entropy: 1.3212, recall: 0.808, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.655, scimark_benchmark: 946.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 300.4683, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3212, recall: 0.9168, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7364, scimark_benchmark: 928.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7939, kappa: 0.6337, kb_relative_information_score: 343.6767, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7993, predictive_accuracy: 0.7904, prior_entropy: 1.3212, recall: 0.7904, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.793, scimark_benchmark: 949.4819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7583, kappa: 0.5912, kb_relative_information_score: 315.6825, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7465, predictive_accuracy: 0.7728, prior_entropy: 1.3212, recall: 0.7728, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.8282, scimark_benchmark: 947.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8693, kappa: 0.7944, kb_relative_information_score: 426.6741, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8569, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5406, scimark_benchmark: 948.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7181, kappa: 0.5341, kb_relative_information_score: 263.0764, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6904, predictive_accuracy: 0.7488, prior_entropy: 1.3212, recall: 0.7488, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.8393, scimark_benchmark: 944.2405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8577, kappa: 0.7964, kb_relative_information_score: 373.9104, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8307, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.6027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 211.534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7904, scimark_benchmark: 910.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 948.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8199, kappa: 0.7256, kb_relative_information_score: 326.0264, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.791, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.631, scimark_benchmark: 917.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9616, kappa: 0.9371, kb_relative_information_score: 523.9066, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9634, predictive_accuracy: 0.9648, prior_entropy: 1.3212, recall: 0.9648, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3662, scimark_benchmark: 947.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8213, kappa: 0.7262, kb_relative_information_score: 326.4764, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7936, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6313, scimark_benchmark: 945.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8569, kappa: 0.8012, kb_relative_information_score: 217.2509, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8252, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8027, kappa: 0.6973, kb_relative_information_score: 158.2003, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7719, predictive_accuracy: 0.8368, prior_entropy: 1.3212, recall: 0.8368, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.8077, scimark_benchmark: 946.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8671, kappa: 0.822, kb_relative_information_score: 221.6974, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8331, predictive_accuracy: 0.904, prior_entropy: 1.3212, recall: 0.904, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7712, scimark_benchmark: 947.5527,

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