Task
Supervised Classification on vote

Supervised Classification on vote

Task 55 Supervised Classification vote 939 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.4669, kb_relative_information_score: -0.0817, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1, scimark_benchmark: 2019.8294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9632, kappa: 0.9222, kb_relative_information_score: 377.2298, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.3632, scimark_benchmark: 2009.2728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.947, kappa: 0.8879, kb_relative_information_score: 368.1595, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.165, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4158, scimark_benchmark: 2013.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9587, kappa: 0.9133, kb_relative_information_score: 380.6206, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9593, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.178, root_relative_squared_error: 0.3657, scimark_benchmark: 2016.0853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9018, kappa: 0.7949, kb_relative_information_score: 340.6151, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9047, predictive_accuracy: 0.9011, prior_entropy: 0.9627, recall: 0.9011, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.624, scimark_benchmark: 2010.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9473, kappa: 0.8893, kb_relative_information_score: 385.2429, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.948, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4723, scimark_benchmark: 2023.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9448, kappa: 0.8834, kb_relative_information_score: 350.8215, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9447, predictive_accuracy: 0.9448, prior_entropy: 0.9627, recall: 0.9448, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4408, scimark_benchmark: 943.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9541, kappa: 0.9034, kb_relative_information_score: 373.7373, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9544, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4065, scimark_benchmark: 883.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9565, kappa: 0.9086, kb_relative_information_score: 375.149, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9571, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3728, scimark_benchmark: 945.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.4669, kb_relative_information_score: -0.0817, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1, scimark_benchmark: 948.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.4669, kb_relative_information_score: -0.0817, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4869, root_relative_squared_error: 1, scimark_benchmark: 941.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.9381, kappa: 0.8698, kb_relative_information_score: 376.6167, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 0.9627, recall: 0.9379, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5117, scimark_benchmark: 896.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.918, kappa: 0.8296, kb_relative_information_score: 347.3266, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9235, predictive_accuracy: 0.9172, prior_entropy: 0.9627, recall: 0.9172, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.4879, scimark_benchmark: 945.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 393.8691, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4293, scimark_benchmark: 945.4913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9609, kappa: 0.9177, kb_relative_information_score: 395.4117, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3861, scimark_benchmark: 950.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099, scimark_benchmark: 892.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508, scimark_benchmark: 912.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7915, kappa: 0.558, kb_relative_information_score: 255.8501, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.8509, predictive_accuracy: 0.8092, prior_entropy: 0.9627, recall: 0.8092, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8972, scimark_benchmark: 942.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9608, kappa: 0.9171, kb_relative_information_score: 386.8366, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3617, scimark_benchmark: 948.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508, scimark_benchmark: 909.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 366.4316, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4042, scimark_benchmark: 947.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 364.6715, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4071, scimark_benchmark: 946.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7915, kappa: 0.558, kb_relative_information_score: 255.8501, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.8509, predictive_accuracy: 0.8092, prior_entropy: 0.9627, recall: 0.8092, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8972, scimark_benchmark: 946.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 949.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9587, kappa: 0.9133, kb_relative_information_score: 376.0129, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9593, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3627, scimark_benchmark: 937.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9633, kappa: 0.9228, kb_relative_information_score: 400.3387, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9635, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3939, scimark_benchmark: 947.3291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9563, kappa: 0.9078, kb_relative_information_score: 390.2709, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3811, scimark_benchmark: 945.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9293, kappa: 0.8525, kb_relative_information_score: 358.4893, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9327, predictive_accuracy: 0.9287, prior_entropy: 0.9627, recall: 0.9287, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4678, scimark_benchmark: 943.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7915, kappa: 0.558, kb_relative_information_score: 255.8501, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.8509, predictive_accuracy: 0.8092, prior_entropy: 0.9627, recall: 0.8092, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8972, scimark_benchmark: 945.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 391.7125, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9551, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4404, scimark_benchmark: 935.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9587, kappa: 0.9133, kb_relative_information_score: 375.7124, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9593, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1486, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3636, scimark_benchmark: 947.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099, scimark_benchmark: 949.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9358, kappa: 0.8651, kb_relative_information_score: 374.4602, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9364, predictive_accuracy: 0.9356, prior_entropy: 0.9627, recall: 0.9356, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5211, scimark_benchmark: 948.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.961, kappa: 0.9178, kb_relative_information_score: 398.1822, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0824, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.406, scimark_benchmark: 948.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9225, kappa: 0.8384, kb_relative_information_score: 354.1475, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9263, predictive_accuracy: 0.9218, prior_entropy: 0.9627, recall: 0.9218, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4703, scimark_benchmark: 916.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9609, kappa: 0.9175, kb_relative_information_score: 395.046, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9609, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.183, root_relative_squared_error: 0.376, scimark_benchmark: 947.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9562, kappa: 0.9076, kb_relative_information_score: 387.3734, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3767, scimark_benchmark: 944.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9655, kappa: 0.927, kb_relative_information_score: 386.2831, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.9627, recall: 0.9655, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3508, scimark_benchmark: 949.5875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9425, kappa: 0.8786, kb_relative_information_score: 319.217, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4442, scimark_benchmark: 938.2001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9586, kappa: 0.9127, kb_relative_information_score: 383.4232, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9627, recall: 0.9586, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3781, scimark_benchmark: 917.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7915, kappa: 0.558, kb_relative_information_score: 255.8501, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.8509, predictive_accuracy: 0.8092, prior_entropy: 0.9627, recall: 0.8092, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8972, scimark_benchmark: 947.7245,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9471, kappa: 0.8884, kb_relative_information_score: 385.2429, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099, scimark_benchmark: 947.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9633, kappa: 0.9226, kb_relative_information_score: 390.5023, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9633, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3729, scimark_benchmark: 942.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9472, kappa: 0.8888, kb_relative_information_score: 361.4329, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9474, predictive_accuracy: 0.9471, prior_entropy: 0.9627, recall: 0.9471, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4175, scimark_benchmark: 946.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7915, kappa: 0.558, kb_relative_information_score: 255.8501, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.8509, predictive_accuracy: 0.8092, prior_entropy: 0.9627, recall: 0.8092, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8972, scimark_benchmark: 922.4323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9565, kappa: 0.9088, kb_relative_information_score: 362.3176, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9576, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4099, scimark_benchmark: 949.1759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8786, kb_relative_information_score: 380.9298, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9627, recall: 0.9425, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.4924, scimark_benchmark: 949.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4669, kb_relative_information_score: 72.5438, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.3767, predictive_accuracy: 0.6138, prior_entropy: 0.9627, recall: 0.6138, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6215, root_relative_squared_error: 1.2764, scimark_benchmark: 946.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9203, kappa: 0.8341, kb_relative_information_score: 348.1243, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9253, predictive_accuracy: 0.9195, prior_entropy: 0.9627, recall: 0.9195, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4859, scimark_benchmark: 920.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9541, kappa: 0.9032, kb_relative_information_score: 364.6715, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9542, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4071, scimark_benchmark: 912.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5218, kappa: 0.0792, kb_relative_information_score: 96.2658, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.7727, predictive_accuracy: 0.6391, prior_entropy: 0.9627, recall: 0.6391, relative_absolute_error: 0.7611, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.6008, root_relative_squared_error: 1.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9608, kappa: 0.9171, kb_relative_information_score: 386.8366, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.961, predictive_accuracy: 0.9609, prior_entropy: 0.9627, recall: 0.9609, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3617, scimark_benchmark: 945.0286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9564, kappa: 0.9084, kb_relative_information_score: 375.1651, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9568, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3676, scimark_benchmark: 945.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9356, kappa: 0.8642, kb_relative_information_score: 374.4602, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9356, predictive_accuracy: 0.9356, prior_entropy: 0.9627, recall: 0.9356, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5211, scimark_benchmark: 944.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 363.0664, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9551, predictive_accuracy: 0.954, prior_entropy: 0.9627, recall: 0.954, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4112,

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