Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 3586 Supervised Classification abalone 541 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: 0.8475, build_cpu_time: 3.9194, build_memory: 736462937.5992, f_measure: 0.7744, kappa: 0.549, kb_relative_information_score: 1870.2527, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 1, recall: 0.7745, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8133, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, build_cpu_time: 5.3017, build_memory: 1732446568.7604, f_measure: 0.7744, kappa: 0.549, kb_relative_information_score: 1870.2527, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 1, recall: 0.7745, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8133, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, build_cpu_time: 4.0174, build_memory: 786019069.1999, f_measure: 0.7744, kappa: 0.549, kb_relative_information_score: 1870.2527, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 1, recall: 0.7745, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8133, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 3.6596, build_memory: 1334235001.1683, f_measure: 0.7744, kappa: 0.549, kb_relative_information_score: 1866.6806, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 1, recall: 0.7745, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8135, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, build_cpu_time: 0.5596, build_memory: 104314717.9966, f_measure: 0.768, kappa: 0.5361, kb_relative_information_score: 2086.866, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7682, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, build_cpu_time: 1.0424, build_memory: 106654779.8248, f_measure: 0.7608, kappa: 0.5217, kb_relative_information_score: 2143.2627, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7609, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8819, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, build_cpu_time: 1.9325, build_memory: 995718896.7067, f_measure: 0.7639, kappa: 0.5279, kb_relative_information_score: 2180.5396, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.764, predictive_accuracy: 0.7639, prior_entropy: 1, recall: 0.7639, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8989, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, build_cpu_time: 4.1073, build_memory: 159729354.5722, f_measure: 0.7714, kappa: 0.5428, kb_relative_information_score: 2254.5517, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7715, predictive_accuracy: 0.7714, prior_entropy: 1, recall: 0.7714, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9039, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, build_cpu_time: 8.1547, build_memory: 366638025.2909, f_measure: 0.7697, kappa: 0.5394, kb_relative_information_score: 2243.6257, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7698, predictive_accuracy: 0.7697, prior_entropy: 1, recall: 0.7697, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9259, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.0316, build_memory: 1210784264.408, f_measure: 0.7162, kappa: 0.4325, kb_relative_information_score: 1806.3709, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7164, predictive_accuracy: 0.7163, prior_entropy: 1, recall: 0.7163, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.0471, build_memory: 30186890.8212, f_measure: 0.7162, kappa: 0.4325, kb_relative_information_score: 1806.3709, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7164, predictive_accuracy: 0.7163, prior_entropy: 1, recall: 0.7163, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.0504, build_memory: 1864561759.4925, f_measure: 0.7162, kappa: 0.4325, kb_relative_information_score: 1806.3709, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7164, predictive_accuracy: 0.7163, prior_entropy: 1, recall: 0.7163, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.0488, build_memory: 2708041188.0891, f_measure: 0.7162, kappa: 0.4325, kb_relative_information_score: 1806.3709, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7164, predictive_accuracy: 0.7163, prior_entropy: 1, recall: 0.7163, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.0492, build_memory: 813331899.9512, f_measure: 0.7162, kappa: 0.4325, kb_relative_information_score: 1806.3709, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7164, predictive_accuracy: 0.7163, prior_entropy: 1, recall: 0.7163, relative_absolute_error: 0.5675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0652, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, build_cpu_time: 9.4109, build_memory: 519529798.2724, f_measure: 0.7813, kappa: 0.5629, kb_relative_information_score: 2112.3479, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7822, predictive_accuracy: 0.7814, prior_entropy: 1, recall: 0.7814, relative_absolute_error: 0.5057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.859, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, build_cpu_time: 20.4259, build_memory: 763391257.356, f_measure: 0.7761, kappa: 0.5524, kb_relative_information_score: 2077.8671, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7766, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8705, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, build_cpu_time: 34.504, build_memory: 1213456598.5617, f_measure: 0.7801, kappa: 0.5605, kb_relative_information_score: 2106.4146, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7808, predictive_accuracy: 0.7802, prior_entropy: 1, recall: 0.7802, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8637, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 72.8888, build_memory: 2073641581.6308, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 2089.8576, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7786, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.869, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, build_cpu_time: 1.6587, build_memory: 643888949.8932, f_measure: 0.6696, kappa: 0.3392, kb_relative_information_score: 1411.5967, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.6696, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.1046, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, build_cpu_time: 0.9069, build_memory: 1096256962.8729, f_measure: 0.6708, kappa: 0.3416, kb_relative_information_score: 1425.579, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.6708, predictive_accuracy: 0.6708, prior_entropy: 1, recall: 0.6708, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.0772, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, build_cpu_time: 0.4611, build_memory: 830668579.0395, f_measure: 0.6811, kappa: 0.3622, kb_relative_information_score: 1447.1873, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.6811, predictive_accuracy: 0.6811, prior_entropy: 1, recall: 0.6811, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0393, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.2874, build_memory: 1172361857.4958, f_measure: 0.6761, kappa: 0.3522, kb_relative_information_score: 1393.2282, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.6761, predictive_accuracy: 0.6761, prior_entropy: 1, recall: 0.6761, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0084, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, build_cpu_time: 0.1085, build_memory: 641907234.1566, f_measure: 0.6802, kappa: 0.3603, kb_relative_information_score: 1319.2195, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.6802, predictive_accuracy: 0.6802, prior_entropy: 1, recall: 0.6802, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9772, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 0.1142, build_memory: 644121651.0395, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1118.9744, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 0.1072, build_memory: 756201219.7788, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1118.9744, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 0.1148, build_memory: 1311572546.3021, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1118.9744, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 0.1154, build_memory: 1353582644.7268, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1118.9744, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, build_cpu_time: 0.1182, build_memory: 1482773036.6809, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1118.9744, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, build_cpu_time: 646.7192, build_memory: 918062734.0522, f_measure: 0.7565, kappa: 0.5142, kb_relative_information_score: 1745.018, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7592, predictive_accuracy: 0.757, prior_entropy: 1, recall: 0.757, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.7964, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 1131.4174, build_memory: 607314922.0589, f_measure: 0.7637, kappa: 0.528, kb_relative_information_score: 1778.8705, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7653, predictive_accuracy: 0.7639, prior_entropy: 1, recall: 0.7639, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7909, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, build_cpu_time: 2457.0929, build_memory: 80992741.1099, f_measure: 0.7772, kappa: 0.5548, kb_relative_information_score: 1866.2027, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7785, predictive_accuracy: 0.7774, prior_entropy: 1, recall: 0.7774, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7834, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, build_cpu_time: 5181.4041, build_memory: 876471483.344, f_measure: 0.7809, kappa: 0.5619, kb_relative_information_score: 1964.8602, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7814, predictive_accuracy: 0.7809, prior_entropy: 1, recall: 0.7809, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7752, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, build_cpu_time: 8957.8559, build_memory: 260588916.43, f_measure: 0.7828, kappa: 0.5658, kb_relative_information_score: 2044.9527, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7833, predictive_accuracy: 0.7829, prior_entropy: 1, recall: 0.7829, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.776, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 604.2509, build_memory: 208254712.3811, f_measure: 0.7727, kappa: 0.5457, kb_relative_information_score: 2284.9419, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7732, predictive_accuracy: 0.7728, prior_entropy: 1, recall: 0.7728, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9423, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, build_cpu_time: 144.7399, build_memory: 1643008629.3953, f_measure: 0.7632, kappa: 0.5265, kb_relative_information_score: 2207.9542, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7633, predictive_accuracy: 0.7632, prior_entropy: 1, recall: 0.7632, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9422, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, build_cpu_time: 66.5654, build_memory: 1173547020.7249, f_measure: 0.7551, kappa: 0.5102, kb_relative_information_score: 2136.8678, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7552, predictive_accuracy: 0.7551, prior_entropy: 1, recall: 0.7551, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9351, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, build_cpu_time: 4.3185, build_memory: 450756654.0733, f_measure: 0.7855, kappa: 0.571, kb_relative_information_score: 1974.3783, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7855, prior_entropy: 1, recall: 0.7855, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7756, scimark_benchmark: 937.6343,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, build_cpu_time: 0.2394, build_memory: 455809364.7709, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1923.3619, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7725, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7952, scimark_benchmark: 941.5201,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, build_cpu_time: 32.8208, build_memory: 2913565489.9574, f_measure: 0.7894, kappa: 0.5792, kb_relative_information_score: 1938.6266, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7903, predictive_accuracy: 0.7896, prior_entropy: 1, recall: 0.7896, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7552, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, build_cpu_time: 14.753, build_memory: 1383877540.1312, f_measure: 0.7897, kappa: 0.5797, kb_relative_information_score: 1942.6618, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7906, predictive_accuracy: 0.7898, prior_entropy: 1, recall: 0.7898, relative_absolute_error: 0.5591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7553, scimark_benchmark: 940.6012,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, build_cpu_time: 0.1014, build_memory: 435681189.9679, f_measure: 0.7058, kappa: 0.4115, kb_relative_information_score: 1613.3461, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7058, predictive_accuracy: 0.7058, prior_entropy: 1, recall: 0.7058, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9278, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, build_cpu_time: 17.0529, build_memory: 1038106312.5803, f_measure: 0.7969, kappa: 0.5946, kb_relative_information_score: 1831.7899, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7991, predictive_accuracy: 0.7972, prior_entropy: 1, recall: 0.7972, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7522, scimark_benchmark: 947.2295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, build_cpu_time: 0.161, build_memory: 687668384.4482, f_measure: 0.707, kappa: 0.414, kb_relative_information_score: 1619.4596, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7071, predictive_accuracy: 0.707, prior_entropy: 1, recall: 0.707, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.919, scimark_benchmark: 942.4281,

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