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Backtrace:

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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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Function: query

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Function: loadpage

File: /var/www/openml/index.php
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Function: require_once

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Backtrace:

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Function: fopen

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

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Function: query

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Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 3848 Supervised Classification squash-unstored 496 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 under100k under1m
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496 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, build_cpu_time: 0.0072, build_memory: 364551447.6923, f_measure: 0.7495, kappa: 0.4955, kb_relative_information_score: 26.776, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9208, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.0221, build_memory: 183176718.7692, f_measure: 0.7881, kappa: 0.5731, kb_relative_information_score: 29.3917, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9025, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, build_cpu_time: 0.0339, build_memory: 284567796, f_measure: 0.7868, kappa: 0.5706, kb_relative_information_score: 30.212, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7905, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8927, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, build_cpu_time: 0.0611, build_memory: 1053829416, f_measure: 0.7495, kappa: 0.4955, kb_relative_information_score: 25.7776, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0029, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, build_cpu_time: 0.0118, build_memory: 212083096.6154, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 21.0869, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0558, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, build_cpu_time: 0.0082, build_memory: 106381882.7692, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 21.0869, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0558, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, build_cpu_time: 0.0063, build_memory: 64907688, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 21.0869, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0558, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, build_cpu_time: 0.0551, build_memory: 234264307.5385, f_measure: 0.8643, kappa: 0.7267, kb_relative_information_score: 36.9885, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8692, predictive_accuracy: 0.8654, prior_entropy: 0.996, recall: 0.8654, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7432, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, build_cpu_time: 0.486, build_memory: 1768990914.6154, f_measure: 0.7881, kappa: 0.5731, kb_relative_information_score: 28.8967, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9223, scimark_benchmark: 942.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, build_cpu_time: 0.2649, build_memory: 1137253839.3846, f_measure: 0.8068, kappa: 0.6108, kb_relative_information_score: 30.851, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8084, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8719, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, build_cpu_time: 0.1115, build_memory: 1267578879.5385, f_measure: 0.7682, kappa: 0.5329, kb_relative_information_score: 27.8945, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7695, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9309, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, build_cpu_time: 0.0896, build_memory: 953088739.6923, f_measure: 0.7868, kappa: 0.5706, kb_relative_information_score: 27.7279, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7905, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8826, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 0.0041, build_memory: 119959469.2308, f_measure: 0.8462, kappa: 0.6905, kb_relative_information_score: 28.5473, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8462, predictive_accuracy: 0.8462, prior_entropy: 0.996, recall: 0.8462, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.721, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, build_cpu_time: 0.0036, build_memory: 181458477.2308, f_measure: 0.6523, kappa: 0.3158, kb_relative_information_score: 17.0352, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6685, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9687, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, build_cpu_time: 0.0198, build_memory: 953181398, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 14.76, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8202, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, build_cpu_time: 0.0017, build_memory: 650429036.3077, f_measure: 0.7639, kappa: 0.5273, kb_relative_information_score: 24.9073, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7805, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8778, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, build_cpu_time: 0.0001, build_memory: 859813076.7692, f_measure: 0.7119, kappa: 0.4214, kb_relative_information_score: 21.0869, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7127, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0558, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0041, build_memory: 975293246, f_measure: 0.3769, kb_relative_information_score: 3.6019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, build_cpu_time: 0.0052, build_memory: 668513671.3846, f_measure: 0.711, kappa: 0.4179, kb_relative_information_score: 21.7452, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.711, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0774, scimark_benchmark: 942.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, build_cpu_time: 0.0088, build_memory: 564013115.6923, f_measure: 0.6523, kappa: 0.2994, kb_relative_information_score: 15.6974, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6527, predictive_accuracy: 0.6538, prior_entropy: 0.996, recall: 0.6538, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5883, root_relative_squared_error: 1.1802, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, build_cpu_time: 0.0066, build_memory: 279208588, f_measure: 0.5954, kappa: 0.1851, kb_relative_information_score: 8.8157, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5951, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2801, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, build_cpu_time: 0.0003, build_memory: 942949516.3077, f_measure: 0.6886, kappa: 0.3735, kb_relative_information_score: 20.271, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6933, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0018, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, build_cpu_time: 0.0066, build_memory: 479174313.8462, f_measure: 0.593, kappa: 0.1802, kb_relative_information_score: 3.6182, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5938, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0513, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5729, build_cpu_time: 0.0066, build_memory: 188286667.6923, f_measure: 0.593, kappa: 0.1802, kb_relative_information_score: 3.6182, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.5938, predictive_accuracy: 0.5962, prior_entropy: 0.996, recall: 0.5962, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5241, root_relative_squared_error: 1.0513, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, build_cpu_time: 0.006, build_memory: 260032838.4615, f_measure: 0.7692, kappa: 0.5357, kb_relative_information_score: 25.7663, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7692, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8676, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, build_cpu_time: 0.1049, build_memory: 430633529.0769, f_measure: 0.6923, kappa: 0.381, kb_relative_information_score: 14.3498, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6923, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9339, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, build_cpu_time: 0.1029, build_memory: 334547955.2308, f_measure: 0.6923, kappa: 0.381, kb_relative_information_score: 14.3498, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6923, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9339, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, build_cpu_time: 0.1044, build_memory: 241171403.5385, f_measure: 0.6923, kappa: 0.381, kb_relative_information_score: 14.3498, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.6923, predictive_accuracy: 0.6923, prior_entropy: 0.996, recall: 0.6923, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9339, scimark_benchmark: 904.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, build_cpu_time: 0.0507, build_memory: 703095588.4615, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 18.8179, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8619, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, build_cpu_time: 0.0679, build_memory: 580842406, f_measure: 0.7503, kappa: 0.4985, kb_relative_information_score: 18.8179, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7511, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8619, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, build_cpu_time: 0.1113, build_memory: 249816670.4615, f_measure: 0.711, kappa: 0.4179, kb_relative_information_score: 18.5419, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.711, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8747, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, build_cpu_time: 0.2297, build_memory: 541345326, f_measure: 0.7308, kappa: 0.4583, kb_relative_information_score: 18.9209, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7308, predictive_accuracy: 0.7308, prior_entropy: 0.996, recall: 0.7308, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8629, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, build_cpu_time: 0.4465, build_memory: 712426574, f_measure: 0.711, kappa: 0.4179, kb_relative_information_score: 18.8797, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.711, predictive_accuracy: 0.7115, prior_entropy: 0.996, recall: 0.7115, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8636, scimark_benchmark: 946.5993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 0.1482, build_memory: 72561586.3077, f_measure: 0.808, kappa: 0.6154, kb_relative_information_score: 21.5284, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8107, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7474, scimark_benchmark: 945.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.2423, build_memory: 598679042, f_measure: 0.8271, kappa: 0.6528, kb_relative_information_score: 21.7864, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8279, predictive_accuracy: 0.8269, prior_entropy: 0.996, recall: 0.8269, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7515, scimark_benchmark: 950.5837,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, build_cpu_time: 0.0329, build_memory: 58822398.9231, f_measure: 0.7682, kappa: 0.5329, kb_relative_information_score: 19.9508, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7695, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7633, scimark_benchmark: 936.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.0145, build_memory: 63744388.1538, f_measure: 0.748, kappa: 0.4925, kb_relative_information_score: 20.8065, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7512, predictive_accuracy: 0.75, prior_entropy: 0.996, recall: 0.75, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7566, scimark_benchmark: 945.5765,

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