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Function: require_once

OpenML
Task
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 3877 Supervised Classification analcatdata_dmft 559 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_15 study_20 study_41 study_7 under100k under1m
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559 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7093, kappa: -0.0318, kb_relative_information_score: -154.1577, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6681, predictive_accuracy: 0.7716, prior_entropy: 0.7123, recall: 0.7716, relative_absolute_error: 1.0263, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.0709, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.701, kappa: -0.0238, kb_relative_information_score: -10.6513, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6784, predictive_accuracy: 0.7302, prior_entropy: 0.7123, recall: 0.7302, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.3122, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1312.3073, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1290.1085, usercpu_time_millis: 290, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1297.6599, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.7188, kb_relative_information_score: -146.0254, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.063, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.0025, scimark_benchmark: 1318.1432, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.7125, kappa: -0.0241, kb_relative_information_score: -135.6038, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6469, predictive_accuracy: 0.793, prior_entropy: 0.7123, recall: 0.793, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.0456, scimark_benchmark: 939.449, usercpu_time_millis: 4920, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4485, f_measure: 0.7148, kappa: -0.0146, kb_relative_information_score: -209.5493, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6764, predictive_accuracy: 0.7817, prior_entropy: 0.7123, recall: 0.7817, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0932, scimark_benchmark: 1324.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5461, f_measure: 0.7188, kb_relative_information_score: -76.3388, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.006, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.6912, kappa: -0.0785, kb_relative_information_score: -202.4633, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6554, predictive_accuracy: 0.7365, prior_entropy: 0.7123, recall: 0.7365, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4499, root_relative_squared_error: 1.1367, scimark_benchmark: 1291.6995, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.6794, kappa: -0.0799, kb_relative_information_score: -214.925, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6604, predictive_accuracy: 0.7014, prior_entropy: 0.7123, recall: 0.7014, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.1995, scimark_benchmark: 1346.9602, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.7175, kappa: -0.005, kb_relative_information_score: -14.9903, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6485, predictive_accuracy: 0.803, prior_entropy: 0.7123, recall: 0.803, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3983, root_relative_squared_error: 1.0062, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1330.2678, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.6999, kappa: -0.013, kb_relative_information_score: -36.89, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6824, predictive_accuracy: 0.7215, prior_entropy: 0.7123, recall: 0.7215, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.3334, scimark_benchmark: 825.5282, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.7203, kappa: 0.0037, kb_relative_information_score: 173.0196, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6901, predictive_accuracy: 0.7917, prior_entropy: 0.7123, recall: 0.7917, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1531, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.715, kappa: -0.0147, kb_relative_information_score: -67.4348, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6477, predictive_accuracy: 0.798, prior_entropy: 0.7123, recall: 0.798, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0221, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.504, kappa: -0.0379, kb_relative_information_score: -846.5414, mean_absolute_error: 0.5496, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6653, predictive_accuracy: 0.4504, prior_entropy: 0.7123, recall: 0.4504, relative_absolute_error: 1.7514, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.7413, root_relative_squared_error: 1.873, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.7156, kappa: -0.0123, kb_relative_information_score: 195.5099, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6479, predictive_accuracy: 0.7992, prior_entropy: 0.7123, recall: 0.7992, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4481, root_relative_squared_error: 1.132, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: -1.4695, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 0.9145, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.7188, kb_relative_information_score: 205.2794, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4378, root_relative_squared_error: 1.1061, scimark_benchmark: 931.2336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.7188, kb_relative_information_score: -92.9825, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.0078, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.7188, kb_relative_information_score: -92.9825, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.0078, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.7188, kb_relative_information_score: -92.9825, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3989, root_relative_squared_error: 1.0078, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7188, kb_relative_information_score: 208.6578, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.1072, scimark_benchmark: 894.7455, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, f_measure: 0.7188, kb_relative_information_score: 208.6088, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.1064, scimark_benchmark: 876.8277, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.7188, kb_relative_information_score: 209.3969, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.1075, scimark_benchmark: 934.5243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.7188, kb_relative_information_score: 209.1139, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.1073, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.7188, kb_relative_information_score: 210.2296, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.439, root_relative_squared_error: 1.1091, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -72.2583, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0059, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -72.2352, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0059, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5492, f_measure: 0.7188, kb_relative_information_score: -71.9292, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3981, root_relative_squared_error: 1.0057, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, build_cpu_time: 6.1313, build_memory: 51143870.5646, f_measure: 0.7081, kappa: -0.04, kb_relative_information_score: -148.9447, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6454, predictive_accuracy: 0.7842, prior_entropy: 0.7123, recall: 0.7842, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.0537, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, build_cpu_time: 8.6196, build_memory: 191337084.537, f_measure: 0.7095, kappa: -0.0346, kb_relative_information_score: -139.871, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6556, predictive_accuracy: 0.7829, prior_entropy: 0.7123, recall: 0.7829, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4281, root_relative_squared_error: 1.0816, scimark_benchmark: 872.1114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, build_cpu_time: 11.0973, build_memory: 160305827.5132, f_measure: 0.6964, kappa: -0.0598, kb_relative_information_score: -181.0738, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6631, predictive_accuracy: 0.7403, prior_entropy: 0.7123, recall: 0.7403, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4598, root_relative_squared_error: 1.1618, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, build_cpu_time: 6.2283, build_memory: 92139095.5383, f_measure: 0.692, kappa: -0.0735, kb_relative_information_score: -189.7592, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.658, predictive_accuracy: 0.7353, prior_entropy: 0.7123, recall: 0.7353, relative_absolute_error: 1.0239, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.1591, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4814, build_cpu_time: 2.6115, build_memory: 1022118680.7428, f_measure: 0.686, kappa: -0.0702, kb_relative_information_score: -194.6842, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6628, predictive_accuracy: 0.7139, prior_entropy: 0.7123, recall: 0.7139, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.1489, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, build_cpu_time: 0.6209, build_memory: 523860137.1142, f_measure: 0.7169, kappa: -0.0088, kb_relative_information_score: -115.5696, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6759, predictive_accuracy: 0.793, prior_entropy: 0.7123, recall: 0.793, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4138, root_relative_squared_error: 1.0454, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, build_cpu_time: 1.1496, build_memory: 548136376.2409, f_measure: 0.7169, kappa: -0.0088, kb_relative_information_score: -115.7139, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6759, predictive_accuracy: 0.793, prior_entropy: 0.7123, recall: 0.793, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.055, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, build_cpu_time: 2.2074, build_memory: 791443185.2949, f_measure: 0.7102, kappa: -0.0324, kb_relative_information_score: -141.7593, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6563, predictive_accuracy: 0.7842, prior_entropy: 0.7123, recall: 0.7842, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.0659, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 4.4954, build_memory: 821458155.1016, f_measure: 0.7087, kappa: -0.0378, kb_relative_information_score: -132.2649, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6457, predictive_accuracy: 0.7854, prior_entropy: 0.7123, recall: 0.7854, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.423, root_relative_squared_error: 1.0688, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4835, build_cpu_time: 4.5022, build_memory: 948481046.0828, f_measure: 0.7109, kappa: -0.0293, kb_relative_information_score: -136.7228, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6632, predictive_accuracy: 0.7817, prior_entropy: 0.7123, recall: 0.7817, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0765, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, build_cpu_time: 0.0351, build_memory: 180328718.4442, f_measure: 0.7188, kb_relative_information_score: -73.2322, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3996, root_relative_squared_error: 1.0096, scimark_benchmark: 925.481,

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