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Function: require_once

OpenML
Task
Supervised Classification on puma32H

Supervised Classification on puma32H

Task 3618 Supervised Classification puma32H 556 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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556 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.585, kappa: 0.17, kb_relative_information_score: 1008.7503, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.585, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.533, root_relative_squared_error: 1.0661, scimark_benchmark: 1325.2092, usercpu_time_millis: 24820, usercpu_time_millis_testing: 24820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3377, kb_relative_information_score: 63.2844, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4087, scimark_benchmark: 1313.9994, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6529, kappa: 0.3058, kb_relative_information_score: 2505.4994, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.653, predictive_accuracy: 0.653, prior_entropy: 1, recall: 0.653, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5891, root_relative_squared_error: 1.1782, scimark_benchmark: 939.5088, usercpu_time_millis: 173960, usercpu_time_millis_testing: 26000, usercpu_time_millis_training: 147960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6516, kappa: 0.3031, kb_relative_information_score: 2483.4974, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6516, predictive_accuracy: 0.6516, prior_entropy: 1, recall: 0.6516, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5902, root_relative_squared_error: 1.1805, scimark_benchmark: 1287.514, usercpu_time_millis: 18640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6553, kappa: 0.3107, kb_relative_information_score: 841.8724, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6554, predictive_accuracy: 0.6554, prior_entropy: 1, recall: 0.6554, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9558, scimark_benchmark: 1335.643, usercpu_time_millis: 1910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6418, kappa: 0.2836, kb_relative_information_score: 1339.7171, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6418, predictive_accuracy: 0.6418, prior_entropy: 1, recall: 0.6418, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9486, scimark_benchmark: 940.3347, usercpu_time_millis: 1254750, usercpu_time_millis_testing: 21900, usercpu_time_millis_training: 1232850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.515, kappa: 0.0302, kb_relative_information_score: 245.3004, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5151, predictive_accuracy: 0.515, prior_entropy: 1, recall: 0.515, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6964, root_relative_squared_error: 1.3929, scimark_benchmark: 938.343, usercpu_time_millis: 4740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8797, kappa: 0.7596, kb_relative_information_score: 5409.4915, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8806, predictive_accuracy: 0.8798, prior_entropy: 1, recall: 0.8798, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6122, scimark_benchmark: 1350.9691, usercpu_time_millis: 930, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8803, kappa: 0.7605, kb_relative_information_score: 4165.3227, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 1, recall: 0.8802, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6434, scimark_benchmark: 1307.4861, usercpu_time_millis: 10350, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 9220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.79, kappa: 0.58, kb_relative_information_score: 4751.697, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9165, scimark_benchmark: 1346.9602, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8751, kappa: 0.7503, kb_relative_information_score: 5551.9429, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8753, predictive_accuracy: 0.8751, prior_entropy: 1, recall: 0.8751, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6206, scimark_benchmark: 1320.2556, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8788, kappa: 0.7576, kb_relative_information_score: 5230.3875, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8793, predictive_accuracy: 0.8788, prior_entropy: 1, recall: 0.8788, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6434, scimark_benchmark: 1330.2678, usercpu_time_millis: 3520, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3377, kb_relative_information_score: 63.2844, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4087, scimark_benchmark: 1319.6463, usercpu_time_millis: 128300, usercpu_time_millis_testing: 26340, usercpu_time_millis_training: 101960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8575, kappa: 0.7151, kb_relative_information_score: 5470.4738, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8578, predictive_accuracy: 0.8575, prior_entropy: 1, recall: 0.8575, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6041, scimark_benchmark: 1358.4523, usercpu_time_millis: 1240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.5991, kappa: 0.1983, kb_relative_information_score: 1625.4219, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5992, predictive_accuracy: 0.5992, prior_entropy: 1, recall: 0.5992, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6331, root_relative_squared_error: 1.2661, scimark_benchmark: 1465.2979, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.8436, kappa: 0.6872, kb_relative_information_score: 5629.7743, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8437, predictive_accuracy: 0.8436, prior_entropy: 1, recall: 0.8436, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7909, scimark_benchmark: 1353.5686, usercpu_time_millis: 2250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3377, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.863, kappa: 0.7261, kb_relative_information_score: 5663.2568, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6908, scimark_benchmark: 1465.2979, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6414, kappa: 0.2828, kb_relative_information_score: 2111.5389, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6415, predictive_accuracy: 0.6415, prior_entropy: 1, recall: 0.6415, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1063, scimark_benchmark: 931.2336, usercpu_time_millis: 3510, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.6403, kappa: 0.2806, kb_relative_information_score: 1379.2866, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6404, predictive_accuracy: 0.6404, prior_entropy: 1, recall: 0.6404, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 945.6434, usercpu_time_millis: 7400, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6447, kappa: 0.2894, kb_relative_information_score: 1055.9035, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6448, predictive_accuracy: 0.6448, prior_entropy: 1, recall: 0.6448, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9665, scimark_benchmark: 941.7954, usercpu_time_millis: 3290, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.9261, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9599, scimark_benchmark: 923.7642, usercpu_time_millis: 3230, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.9261, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9599, scimark_benchmark: 894.7455, usercpu_time_millis: 3240, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.6547, kappa: 0.3093, kb_relative_information_score: 2298.141, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6547, predictive_accuracy: 0.6547, prior_entropy: 1, recall: 0.6547, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.0972, scimark_benchmark: 894.7455, usercpu_time_millis: 20220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.6545, kappa: 0.3091, kb_relative_information_score: 2303.2884, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6546, predictive_accuracy: 0.6545, prior_entropy: 1, recall: 0.6545, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5493, root_relative_squared_error: 1.0986, scimark_benchmark: 936.6206, usercpu_time_millis: 10170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.6548, kappa: 0.3096, kb_relative_information_score: 2296.3448, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6548, predictive_accuracy: 0.6548, prior_entropy: 1, recall: 0.6548, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0967, scimark_benchmark: 942.1229, usercpu_time_millis: 4910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6544, kappa: 0.3089, kb_relative_information_score: 2295.3364, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6545, predictive_accuracy: 0.6544, prior_entropy: 1, recall: 0.6544, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.0964, scimark_benchmark: 922.9039, usercpu_time_millis: 2340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6547, kappa: 0.3093, kb_relative_information_score: 2288.9495, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6547, predictive_accuracy: 0.6547, prior_entropy: 1, recall: 0.6547, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.0952, scimark_benchmark: 938.4278, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.6393, kappa: 0.2785, kb_relative_information_score: 1011.6313, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6393, predictive_accuracy: 0.6393, prior_entropy: 1, recall: 0.6393, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9742, scimark_benchmark: 936.6206, usercpu_time_millis: 11420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6466, kappa: 0.2932, kb_relative_information_score: 1048.3817, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6466, predictive_accuracy: 0.6466, prior_entropy: 1, recall: 0.6466, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9664, scimark_benchmark: 924.6116, usercpu_time_millis: 7850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6511, kappa: 0.3022, kb_relative_information_score: 1077.387, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6512, predictive_accuracy: 0.6511, prior_entropy: 1, recall: 0.6511, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.96, scimark_benchmark: 924.6116, usercpu_time_millis: 3440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3430,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6544, kappa: 0.3089, kb_relative_information_score: 1083.9529, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6545, predictive_accuracy: 0.6544, prior_entropy: 1, recall: 0.6544, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9536, scimark_benchmark: 929.566, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, build_cpu_time: 10.4512, build_memory: 1099589348.2861, f_measure: 0.8822, kappa: 0.7644, kb_relative_information_score: 4170.7213, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8823, predictive_accuracy: 0.8822, prior_entropy: 1, recall: 0.8822, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6427, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 33093.7952, build_memory: 128846566.0449, f_measure: 0.745, kappa: 0.4899, kb_relative_information_score: 3009.0016, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.745, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.823, scimark_benchmark: 889.6909,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, build_cpu_time: 15832.7612, build_memory: 674289797.8662, f_measure: 0.6985, kappa: 0.397, kb_relative_information_score: 2192.0121, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6985, predictive_accuracy: 0.6985, prior_entropy: 1, recall: 0.6985, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8832, scimark_benchmark: 872.1114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, build_cpu_time: 14.02, build_memory: 519193688.2012, f_measure: 0.5343, kappa: 0.0685, kb_relative_information_score: 578.2397, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5343, predictive_accuracy: 0.5343, prior_entropy: 1, recall: 0.5343, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6649, root_relative_squared_error: 1.3299, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, build_cpu_time: 7.214, build_memory: 1016017983.625, f_measure: 0.5311, kappa: 0.0621, kb_relative_information_score: 493.1117, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5311, predictive_accuracy: 0.5311, prior_entropy: 1, recall: 0.5311, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3145, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, build_cpu_time: 3.5483, build_memory: 843017876.5586, f_measure: 0.5239, kappa: 0.0478, kb_relative_information_score: 355.1923, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5239, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2926, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, build_cpu_time: 2.113, build_memory: 1365549644.0918, f_measure: 0.5245, kappa: 0.0491, kb_relative_information_score: 343.3082, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5246, predictive_accuracy: 0.5245, prior_entropy: 1, recall: 0.5245, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.2442, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5371, build_cpu_time: 0.8861, build_memory: 768803702.7354, f_measure: 0.5244, kappa: 0.0488, kb_relative_information_score: 337.8739, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5244, predictive_accuracy: 0.5244, prior_entropy: 1, recall: 0.5244, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.183, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, build_cpu_time: 1.9374, build_memory: 783260447.4023, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.1678, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9599, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, build_cpu_time: 2.1219, build_memory: 1457972327.2119, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.9261, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9599, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 1930.9749, build_memory: 1608023032.0107, f_measure: 0.8748, kappa: 0.7495, kb_relative_information_score: 6144.4892, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8748, predictive_accuracy: 0.8748, prior_entropy: 1, recall: 0.8748, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.6999, scimark_benchmark: 924.2934,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, build_cpu_time: 201.7335, build_memory: 1047899090.5361, f_measure: 0.8639, kappa: 0.7278, kb_relative_information_score: 5931.8919, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8639, predictive_accuracy: 0.8639, prior_entropy: 1, recall: 0.8639, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7014, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, build_cpu_time: 29.4617, build_memory: 709115566.4863, f_measure: 0.8782, kappa: 0.7564, kb_relative_information_score: 5755.7721, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8786, predictive_accuracy: 0.8782, prior_entropy: 1, recall: 0.8782, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.603, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, build_cpu_time: 58.6631, build_memory: 600616833.3535, f_measure: 0.8761, kappa: 0.7522, kb_relative_information_score: 5763.6898, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8763, predictive_accuracy: 0.8761, prior_entropy: 1, recall: 0.8761, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6079, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, build_cpu_time: 111.2972, build_memory: 1018870108.0928, f_measure: 0.875, kappa: 0.75, kb_relative_information_score: 5818.7752, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8751, predictive_accuracy: 0.875, prior_entropy: 1, recall: 0.875, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6109, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 232.477, build_memory: 858449832.7217, f_measure: 0.8741, kappa: 0.7483, kb_relative_information_score: 5872.8662, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8742, predictive_accuracy: 0.8741, prior_entropy: 1, recall: 0.8741, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6184, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, build_cpu_time: 424.788, build_memory: 1332080474.4863, f_measure: 0.8739, kappa: 0.7478, kb_relative_information_score: 5976.3484, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 1, recall: 0.8739, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6259, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, build_cpu_time: 163.3507, build_memory: 1313001859.4443, f_measure: 0.8815, kappa: 0.7629, kb_relative_information_score: 6179.744, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8815, predictive_accuracy: 0.8815, prior_entropy: 1, recall: 0.8815, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6248, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, build_cpu_time: 95.3121, build_memory: 153606806.6787, f_measure: 0.8813, kappa: 0.7627, kb_relative_information_score: 6133.07, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8813, predictive_accuracy: 0.8813, prior_entropy: 1, recall: 0.8813, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6249, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, build_cpu_time: 66.108, build_memory: 827767811.8916, f_measure: 0.8774, kappa: 0.7549, kb_relative_information_score: 6044.3923, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8774, predictive_accuracy: 0.8774, prior_entropy: 1, recall: 0.8774, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6302, scimark_benchmark: 939.0159,

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