OpenML
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 262 Supervised Classification pendigits 191 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9812, kappa: 0.9792, kb_relative_information_score: 3554.6648, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9814, predictive_accuracy: 0.9813, prior_entropy: 3.3208, recall: 0.9813, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1847, scimark_benchmark: 1288.1375, usercpu_time_millis: 230, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8714, kappa: 0.8597, kb_relative_information_score: 3176.7941, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8824, predictive_accuracy: 0.8737, prior_entropy: 3.3208, recall: 0.8737, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.488, scimark_benchmark: 1347.917, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8699, kappa: 0.8554, kb_relative_information_score: 3125.2799, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8707, predictive_accuracy: 0.8699, prior_entropy: 3.3208, recall: 0.8699, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958, scimark_benchmark: 933.1165, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9799, kappa: 0.9776, kb_relative_information_score: 3552.219, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 3.3208, recall: 0.9799, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1856, scimark_benchmark: 1064.8317, usercpu_time_millis: 68640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 68610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9704, kappa: 0.9672, kb_relative_information_score: 3439.1071, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3208, recall: 0.9705, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.2494, scimark_benchmark: 930.5999, usercpu_time_millis: 1360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8699, kappa: 0.8554, kb_relative_information_score: 3125.2799, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8707, predictive_accuracy: 0.8699, prior_entropy: 3.3208, recall: 0.8699, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958, scimark_benchmark: 1151.6869, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9386, kappa: 0.9317, kb_relative_information_score: 3392.8327, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9389, predictive_accuracy: 0.9385, prior_entropy: 3.3208, recall: 0.9385, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3697, scimark_benchmark: 1340.1351, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9856, kappa: 0.9841, kb_relative_information_score: 3367.4564, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 3.3208, recall: 0.9857, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2473, scimark_benchmark: 909.1698, usercpu_time_millis: 7970, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 7220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8699, kappa: 0.8554, kb_relative_information_score: 3125.2799, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8707, predictive_accuracy: 0.8699, prior_entropy: 3.3208, recall: 0.8699, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958, scimark_benchmark: 1249.4068, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8066, kappa: 0.7853, kb_relative_information_score: 2717.4143, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8095, predictive_accuracy: 0.8067, prior_entropy: 3.3208, recall: 0.8067, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5708, scimark_benchmark: 1331.2332, usercpu_time_millis: 7270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9818, kappa: 0.9798, kb_relative_information_score: 3556.7493, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 3.3208, recall: 0.9818, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.199, scimark_benchmark: 1368.9272, usercpu_time_millis: 108720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 108660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8767, kappa: 0.8667, kb_relative_information_score: 3187.3737, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8816, predictive_accuracy: 0.8801, prior_entropy: 3.3208, recall: 0.8801, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4944, scimark_benchmark: 1331.5882, usercpu_time_millis: 1570, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8699, kappa: 0.8554, kb_relative_information_score: 3125.2799, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8707, predictive_accuracy: 0.8699, prior_entropy: 3.3208, recall: 0.8699, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958, scimark_benchmark: 1371.9645, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9558, kappa: 0.951, kb_relative_information_score: 3444.0904, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 3.3208, recall: 0.9559, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3051, scimark_benchmark: 1360.1753, usercpu_time_millis: 2690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9867, kappa: 0.9853, kb_relative_information_score: 3365.5378, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 3.3208, recall: 0.9868, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2483, scimark_benchmark: 1349.9741, usercpu_time_millis: 11610, usercpu_time_millis_testing: 1460, usercpu_time_millis_training: 10150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9834, kappa: 0.9816, kb_relative_information_score: 3368.6485, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 3.3208, recall: 0.9835, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.2497, scimark_benchmark: 1350.4702, usercpu_time_millis: 3320, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9444, kappa: 0.9384, kb_relative_information_score: 3412.4296, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 3.3208, recall: 0.9446, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3395, scimark_benchmark: 1349.9741, usercpu_time_millis: 590, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8699, kappa: 0.8554, kb_relative_information_score: 3125.2799, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8707, predictive_accuracy: 0.8699, prior_entropy: 3.3208, recall: 0.8699, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958, scimark_benchmark: 1316.5986, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.5975, kappa: 0.6087, kb_relative_information_score: 1625.637, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.7533, predictive_accuracy: 0.6485, prior_entropy: 3.3208, recall: 0.6485, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.834, scimark_benchmark: 1268.9931, usercpu_time_millis: 352210, usercpu_time_millis_testing: 352210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9956, kappa: 0.9951, kb_relative_information_score: 3608.1121, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 3.3208, recall: 0.9956, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.099, scimark_benchmark: 1331.5882, usercpu_time_millis: 6820, usercpu_time_millis_testing: 6810, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9956, kappa: 0.9951, kb_relative_information_score: 3610.0252, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 3.3208, recall: 0.9956, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.099, scimark_benchmark: 1346.3935, usercpu_time_millis: 38650, usercpu_time_millis_testing: 38640, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.974, kappa: 0.9712, kb_relative_information_score: 3528.6734, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 3.3208, recall: 0.9741, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.072, root_relative_squared_error: 0.24, scimark_benchmark: 1249.4068, usercpu_time_millis: 36510, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 36250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.0738, kappa: 0.1127, kb_relative_information_score: 810.6563, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.0455, predictive_accuracy: 0.2049, prior_entropy: 3.3208, recall: 0.2049, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9603, scimark_benchmark: 1339.4964, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9744, kappa: 0.9715, kb_relative_information_score: 3530.0307, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 3.3208, recall: 0.9744, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.1994, scimark_benchmark: 1343.6648, usercpu_time_millis: 24190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 24160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.0312, kappa: 0.0073, kb_relative_information_score: 233.597, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.3272, predictive_accuracy: 0.107, prior_entropy: 3.3208, recall: 0.107, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.4089, scimark_benchmark: 818.6501, usercpu_time_millis: 175940, usercpu_time_millis_testing: 76890, usercpu_time_millis_training: 99050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9812, kappa: 0.9792, kb_relative_information_score: 3554.6648, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9814, predictive_accuracy: 0.9813, prior_entropy: 3.3208, recall: 0.9813, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1847, scimark_benchmark: 840.2506, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9444, kappa: 0.9384, kb_relative_information_score: 3412.4296, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 3.3208, recall: 0.9446, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.3395, scimark_benchmark: 1315.3709, usercpu_time_millis: 490, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8699, kappa: 0.8554, kb_relative_information_score: 3125.2799, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8707, predictive_accuracy: 0.8699, prior_entropy: 3.3208, recall: 0.8699, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4958, scimark_benchmark: 889.3151, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8521, kappa: 0.8388, kb_relative_information_score: 3085.6625, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8606, predictive_accuracy: 0.855, prior_entropy: 3.3208, recall: 0.855, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5402, scimark_benchmark: 922.1419, usercpu_time_millis: 720, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8514, kappa: 0.8379, kb_relative_information_score: 3084.9715, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8599, predictive_accuracy: 0.8541, prior_entropy: 3.3208, recall: 0.8541, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5403, scimark_benchmark: 889.3151, usercpu_time_millis: 460, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.6334, kappa: 0.6271, kb_relative_information_score: 1843.6407, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.6216, predictive_accuracy: 0.6647, prior_entropy: 3.3208, recall: 0.6647, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.7871, scimark_benchmark: 1334.9657, usercpu_time_millis: 630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9487, kappa: 0.943, kb_relative_information_score: 3431.5758, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 3.3208, recall: 0.9487, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2927, scimark_benchmark: 1368.9272, usercpu_time_millis: 14880, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 14770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0183, kb_relative_information_score: 8.0748, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.0101, predictive_accuracy: 0.1004, prior_entropy: 3.3208, recall: 0.1004, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001, scimark_benchmark: 1342.5243, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.7403, kappa: 0.718, kb_relative_information_score: 2087.3049, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.7489, predictive_accuracy: 0.7463, prior_entropy: 3.3208, recall: 0.7463, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6939, scimark_benchmark: 1356.3402, usercpu_time_millis: 3720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9473, kappa: 0.9415, kb_relative_information_score: 3409.6557, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9475, predictive_accuracy: 0.9473, prior_entropy: 3.3208, recall: 0.9473, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.3303, scimark_benchmark: 1361.2664, usercpu_time_millis: 7770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9704, kappa: 0.9672, kb_relative_information_score: 3516.3133, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9707, predictive_accuracy: 0.9705, prior_entropy: 3.3208, recall: 0.9705, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.242, scimark_benchmark: 1307.7326, usercpu_time_millis: 9940, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 7720,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9708, kappa: 0.9675, kb_relative_information_score: 3516.0289, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.971, predictive_accuracy: 0.9708, prior_entropy: 3.3208, recall: 0.9708, relative_absolute_error: 0.0325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.2549, scimark_benchmark: 1372.2145, usercpu_time_millis: 4560, usercpu_time_millis_testing: 2340, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.2083, kappa: 0.1247, kb_relative_information_score: 657.1042, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.8746, predictive_accuracy: 0.2195, prior_entropy: 3.3208, recall: 0.2195, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.3172, scimark_benchmark: 1368.9272, usercpu_time_millis: 22500, usercpu_time_millis_testing: 5170, usercpu_time_millis_training: 17330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9614, kappa: 0.9571, kb_relative_information_score: 3474.255, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9618, predictive_accuracy: 0.9614, prior_entropy: 3.3208, recall: 0.9614, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2856, scimark_benchmark: 1466.6185, usercpu_time_millis: 1180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.3278, kappa: 0.3052, kb_relative_information_score: 1251.2434, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.3268, predictive_accuracy: 0.3752, prior_entropy: 3.3208, recall: 0.3752, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3535, root_relative_squared_error: 1.1784, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9556, kappa: 0.9507, kb_relative_information_score: 3458.1099, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9561, predictive_accuracy: 0.9556, prior_entropy: 3.3208, recall: 0.9556, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3141, scimark_benchmark: 1028.5889, usercpu_time_millis: 85930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 85910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0183, kb_relative_information_score: 8.0748, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.0101, predictive_accuracy: 0.1004, prior_entropy: 3.3208, recall: 0.1004, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001, scimark_benchmark: 1054.3694, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9559, kappa: 0.951, kb_relative_information_score: 3454.8487, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9561, predictive_accuracy: 0.9559, prior_entropy: 3.3208, recall: 0.9559, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.304, scimark_benchmark: 1054.3694, usercpu_time_millis: 490, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 2057.427, build_memory: 70780336, f_measure: 0.9887, kappa: 0.9874, kb_relative_information_score: 3574.8756, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 3.3208, recall: 0.9887, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1406, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 3628.236, build_memory: 774130736, f_measure: 0.9881, kappa: 0.9868, kb_relative_information_score: 3576.0674, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 3.3208, recall: 0.9881, relative_absolute_error: 0.0246, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0414, root_relative_squared_error: 0.1382, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 7396.327, build_memory: 3268559592, f_measure: 0.9879, kappa: 0.9865, kb_relative_information_score: 3575.4753, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 3.3208, recall: 0.9879, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0416, root_relative_squared_error: 0.1388, scimark_benchmark: 943.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 15533.245, build_memory: 100512424, f_measure: 0.9881, kappa: 0.9868, kb_relative_information_score: 3575.7683, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 3.3208, recall: 0.9881, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1375, scimark_benchmark: 942.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 235.495, build_memory: 580773360, f_measure: 0.9865, kappa: 0.985, kb_relative_information_score: 3494.579, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 3.3208, recall: 0.9865, relative_absolute_error: 0.0726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.1883, scimark_benchmark: 932.2521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 473.624, build_memory: 946805312, f_measure: 0.9859, kappa: 0.9844, kb_relative_information_score: 3496.3743, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 3.3208, recall: 0.9859, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1859, scimark_benchmark: 948.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 36.949, build_memory: 443240728, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 3500.9594, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.3208, recall: 0.9788, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.2029, scimark_benchmark: 946.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 35.435, build_memory: 50931280, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 3500.9594, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.3208, recall: 0.9788, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.2029, scimark_benchmark: 943.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 17.592, build_memory: 62682000, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 3499.7028, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3208, recall: 0.9785, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0616, root_relative_squared_error: 0.2052, scimark_benchmark: 940.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 9.513, build_memory: 1967572072, f_measure: 0.9788, kappa: 0.9764, kb_relative_information_score: 3498.3135, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9789, predictive_accuracy: 0.9788, prior_entropy: 3.3208, recall: 0.9788, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.062, root_relative_squared_error: 0.2065, scimark_benchmark: 942.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 4.457, build_memory: 145402632, f_measure: 0.978, kappa: 0.9755, kb_relative_information_score: 3497.9593, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9781, predictive_accuracy: 0.9779, prior_entropy: 3.3208, recall: 0.9779, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.2112, scimark_benchmark: 944.2966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 0.366, build_memory: 947479896, f_measure: 0.9559, kappa: 0.951, kb_relative_information_score: 3454.8487, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9561, predictive_accuracy: 0.9559, prior_entropy: 3.3208, recall: 0.9559, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.304, scimark_benchmark: 937.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 0.496, build_memory: 1645861328, f_measure: 0.9559, kappa: 0.951, kb_relative_information_score: 3454.8487, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9561, predictive_accuracy: 0.9559, prior_entropy: 3.3208, recall: 0.9559, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.304, scimark_benchmark: 920.2013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, build_cpu_time: 0.343, build_memory: 1534074952, f_measure: 0.9559, kappa: 0.951, kb_relative_information_score: 3454.8487, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.18, number_of_instances: 3627, precision: 0.9561, predictive_accuracy: 0.9559, prior_entropy: 3.3208, recall: 0.9559, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.304, scimark_benchmark: 942.9733,

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