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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

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File: /var/www/openml/index.php
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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 0.7171, build_memory: 922019522.4, f_measure: 0.8591, kappa: 0.711, kb_relative_information_score: 179.3381, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7327, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, build_cpu_time: 0.3348, build_memory: 1053828366.4, f_measure: 0.8669, kappa: 0.7269, kb_relative_information_score: 178.1044, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7256, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, build_cpu_time: 0.1709, build_memory: 1122351769.6, f_measure: 0.8349, kappa: 0.6615, kb_relative_information_score: 165.8042, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9852, recall: 0.836, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7667, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, build_cpu_time: 0.1476, build_memory: 1689037052, f_measure: 0.8717, kappa: 0.7373, kb_relative_information_score: 183.7914, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7049, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 0.212, build_memory: 1261393325.6, f_measure: 0.8839, kappa: 0.7628, kb_relative_information_score: 188.0245, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.6909, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 0.461, build_memory: 31090383.2, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 190.5261, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6781, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.8785, build_memory: 706676208.8, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.1254, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6589, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 2.0464, build_memory: 79652706.4, f_measure: 0.8915, kappa: 0.7776, kb_relative_information_score: 194.4633, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8924, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6615, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0262, build_memory: 55375208, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0165, build_memory: 332383030.4, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0235, build_memory: 648539249.6, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, build_cpu_time: 0.3694, build_memory: 1133961197.6, f_measure: 0.8513, kappa: 0.6952, kb_relative_information_score: 173.487, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6605, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, build_cpu_time: 2.0095, build_memory: 641594728, f_measure: 0.8999, kappa: 0.7955, kb_relative_information_score: 199.3929, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6174, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, build_cpu_time: 1.0778, build_memory: 709589691.2, f_measure: 0.9041, kappa: 0.8044, kb_relative_information_score: 201.1741, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9043, predictive_accuracy: 0.904, prior_entropy: 0.9852, recall: 0.904, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.604, scimark_benchmark: 946.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, build_cpu_time: 0.5349, build_memory: 1106905840, f_measure: 0.88, kappa: 0.7549, kb_relative_information_score: 184.986, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9852, recall: 0.88, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6821, scimark_benchmark: 947.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, build_cpu_time: 0.2813, build_memory: 1439338283.2, f_measure: 0.8522, kappa: 0.6988, kb_relative_information_score: 165.3753, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7523, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, build_cpu_time: 0.294, build_memory: 2050916269.6, f_measure: 0.5623, kappa: 0.118, kb_relative_information_score: 18.5457, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5691, predictive_accuracy: 0.56, prior_entropy: 0.9852, recall: 0.56, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0295, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, build_cpu_time: 0.3684, build_memory: 2389567798.4, f_measure: 0.9079, kappa: 0.8119, kb_relative_information_score: 196.5625, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9852, recall: 0.908, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.611, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.0073, build_memory: 1871842277.6, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 140.7134, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7263, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, build_cpu_time: 0.0958, build_memory: 344687293.6, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, build_cpu_time: 0.0168, build_memory: 603268877.6, f_measure: 0.8388, kappa: 0.6693, kb_relative_information_score: 144.8424, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.376, root_relative_squared_error: 0.76, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.0004, build_memory: 38119520, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0267, build_memory: 376330524.8, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, scimark_benchmark: 946.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.602, build_cpu_time: 0.0138, build_memory: 494859338.4, f_measure: 0.6131, kappa: 0.2064, kb_relative_information_score: 52.1625, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6121, predictive_accuracy: 0.616, prior_entropy: 0.9852, recall: 0.616, relative_absolute_error: 0.7841, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2524, scimark_benchmark: 939.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, build_cpu_time: 0.0268, build_memory: 53933612.8, f_measure: 0.5823, kappa: 0.1443, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5812, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, scimark_benchmark: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, build_cpu_time: 0.012, build_memory: 770557950.4, f_measure: 0.58, kappa: 0.1382, kb_relative_information_score: 29.7405, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5787, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.992, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.0014, build_memory: 255458774.4, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 0.0299, build_memory: 1277381577.6, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, build_cpu_time: 0.032, build_memory: 722740120.8, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, build_cpu_time: 0.0574, build_memory: 21736310.4, f_measure: 0.7827, kappa: 0.5547, kb_relative_information_score: 97.6435, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7831, predictive_accuracy: 0.784, prior_entropy: 0.9852, recall: 0.784, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7788, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, build_cpu_time: 0.0028, build_memory: 998319986.4, f_measure: 0.7561, kappa: 0.5023, kb_relative_information_score: 124.2688, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7563, predictive_accuracy: 0.756, prior_entropy: 0.9852, recall: 0.756, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9983, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, build_cpu_time: 0.0028, build_memory: 1000930411.2, f_measure: 0.7561, kappa: 0.5023, kb_relative_information_score: 124.2688, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7563, predictive_accuracy: 0.756, prior_entropy: 0.9852, recall: 0.756, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9983, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 0.0086, build_memory: 804354956.8, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 946.9694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, build_cpu_time: 12.1903, build_memory: 758512096.8, f_measure: 0.8879, kappa: 0.7707, kb_relative_information_score: 145.4225, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8878, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.458, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6241, scimark_benchmark: 942.9632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 0.5344, build_memory: 1055026798.4, f_measure: 0.8919, kappa: 0.7792, kb_relative_information_score: 192.7756, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8919, predictive_accuracy: 0.892, prior_entropy: 0.9852, recall: 0.892, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6443, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, build_cpu_time: 1.3459, build_memory: 128246079.2, f_measure: 0.8754, kappa: 0.7446, kb_relative_information_score: 148.0235, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9852, recall: 0.876, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6155, scimark_benchmark: 925.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, build_cpu_time: 2.6056, build_memory: 367293798.4, f_measure: 0.8673, kappa: 0.7282, kb_relative_information_score: 145.5119, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8681, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.457, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.62, scimark_benchmark: 931.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, build_cpu_time: 0.7137, build_memory: 513852576, f_measure: 0.8959, kappa: 0.7871, kb_relative_information_score: 157.3114, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9852, recall: 0.896, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5845, scimark_benchmark: 934.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, build_cpu_time: 0.3724, build_memory: 807416683.2, f_measure: 0.8839, kappa: 0.7628, kb_relative_information_score: 158.4072, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5882, scimark_benchmark: 949.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, build_cpu_time: 0.2274, build_memory: 1895601358.4, f_measure: 0.9078, kappa: 0.8114, kb_relative_information_score: 158.5972, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9079, predictive_accuracy: 0.908, prior_entropy: 0.9852, recall: 0.908, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.29, root_relative_squared_error: 0.5862, scimark_benchmark: 897.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 0.0877, build_memory: 461134496.8, f_measure: 0.8997, kappa: 0.7946, kb_relative_information_score: 155.3991, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5977, scimark_benchmark: 900.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 0.0896, build_memory: 1135029764.8, f_measure: 0.8997, kappa: 0.7946, kb_relative_information_score: 155.3991, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9852, recall: 0.9, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5977, scimark_benchmark: 928.0098,

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