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

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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: loadpage

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

OpenML
OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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Metric:

703 Runs

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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8105, kappa: 0.5849, kb_relative_information_score: 159.727, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8649, scimark_benchmark: 917.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.8019, kappa: 0.5643, kb_relative_information_score: 150.6234, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8036, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8779, scimark_benchmark: 944.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8425, kappa: 0.6564, kb_relative_information_score: 143.2563, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.7253, scimark_benchmark: 945.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 128.0653, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7502, scimark_benchmark: 856.1927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 905.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7943, kappa: 0.5471, kb_relative_information_score: 151.1166, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7966, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.8096, scimark_benchmark: 920.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7603, kappa: 0.4772, kb_relative_information_score: 113.5978, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7594, predictive_accuracy: 0.7619, prior_entropy: 1.0314, recall: 0.7619, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.277, root_relative_squared_error: 0.9119, scimark_benchmark: 904.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8311, kappa: 0.6302, kb_relative_information_score: 159.0133, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8315, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.7355, scimark_benchmark: 934.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.8019, kappa: 0.5686, kb_relative_information_score: 155.1871, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8013, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.9151, scimark_benchmark: 925.5153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.8389, kappa: 0.6482, kb_relative_information_score: 152.6723, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8386, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.7686, scimark_benchmark: 909.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8036, kappa: 0.5698, kb_relative_information_score: 132.8151, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8035, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.741, scimark_benchmark: 941.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7317, kappa: 0.4065, kb_relative_information_score: -0.9361, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.74, predictive_accuracy: 0.7449, prior_entropy: 1.0314, recall: 0.7449, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.977, scimark_benchmark: 942.1412,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 943.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8432, kappa: 0.6593, kb_relative_information_score: 169.2269, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.843, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.7312, scimark_benchmark: 924.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 141.556, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4903, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7454, scimark_benchmark: 937.0165,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8051, kappa: 0.5752, kb_relative_information_score: 156.1045, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8045, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9038, scimark_benchmark: 944.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.8155, kappa: 0.5984, kb_relative_information_score: 141.3794, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.815, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.7463, scimark_benchmark: 944.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8302, kappa: 0.627, kb_relative_information_score: 166.8497, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8318, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.823, scimark_benchmark: 913.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8252, kappa: 0.6183, kb_relative_information_score: 166.2867, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8248, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8526, scimark_benchmark: 940.5297,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8095, kappa: 0.5869, kb_relative_information_score: 155.8278, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8095, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.8388, scimark_benchmark: 944.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8339, kappa: 0.6354, kb_relative_information_score: 149.398, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8352, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.4656, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.7057, scimark_benchmark: 946.1869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7741, kappa: 0.5031, kb_relative_information_score: 142.6842, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7749, predictive_accuracy: 0.7789, prior_entropy: 1.0314, recall: 0.7789, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.8978, scimark_benchmark: 896.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8055, kappa: 0.5769, kb_relative_information_score: 136.488, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8051, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.7235, scimark_benchmark: 941.5739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8425, kappa: 0.6564, kb_relative_information_score: 143.2563, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.7253, scimark_benchmark: 867.5323,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.836, kappa: 0.643, kb_relative_information_score: 174.6259, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8356, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8414, scimark_benchmark: 931.2615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.8183, kappa: 0.6033, kb_relative_information_score: 162.9011, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8179, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.883, scimark_benchmark: 896.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8247, kappa: 0.6167, kb_relative_information_score: 150.6415, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8246, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8413, kappa: 0.6521, kb_relative_information_score: 164.5437, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8421, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7414, scimark_benchmark: 927.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 7.9964, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9502, scimark_benchmark: 945.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7726, kappa: 0.4989, kb_relative_information_score: 140.072, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7751, predictive_accuracy: 0.7789, prior_entropy: 1.0314, recall: 0.7789, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9272, scimark_benchmark: 918.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.7242, kappa: 0.4013, kb_relative_information_score: 111.3204, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7239, predictive_accuracy: 0.7245, prior_entropy: 1.0314, recall: 0.7245, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.9982, scimark_benchmark: 935.0211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7967, kappa: 0.5547, kb_relative_information_score: 149.9104, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7964, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8316, scimark_benchmark: 943.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8344, kappa: 0.637, kb_relative_information_score: 150.3947, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.835, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7114, scimark_benchmark: 945.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 940.1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8069, kappa: 0.5741, kb_relative_information_score: 120.1864, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8123, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.759, scimark_benchmark: 933.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8068, kappa: 0.5765, kb_relative_information_score: 126.9394, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.23, root_relative_squared_error: 0.7572, scimark_benchmark: 933.9467,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7666, kappa: 0.49, kb_relative_information_score: 104.5448, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7657, predictive_accuracy: 0.7687, prior_entropy: 1.0314, recall: 0.7687, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.8961, scimark_benchmark: 924.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7967, kappa: 0.5547, kb_relative_information_score: 142.2276, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7964, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8651, scimark_benchmark: 945.1884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7977, kappa: 0.5584, kb_relative_information_score: 151.314, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7971, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.91, scimark_benchmark: 942.1433,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.7803, kappa: 0.52, kb_relative_information_score: 142.7231, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7795, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9504, scimark_benchmark: 936.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 150.0725, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 948.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 933.6179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 946.2197,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8201, kappa: 0.605, kb_relative_information_score: 165.6887, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8211, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.7914, kappa: 0.5454, kb_relative_information_score: 143.9621, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7907, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.7992, scimark_benchmark: 946.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8187, kappa: 0.605, kb_relative_information_score: 94.6905, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8182, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.7992, scimark_benchmark: 947.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8292, kappa: 0.6281, kb_relative_information_score: 167.1177, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8288, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.8287, scimark_benchmark: 948.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7967, kappa: 0.5547, kb_relative_information_score: 142.2276, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7964, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8396, kappa: 0.6511, kb_relative_information_score: 168.1323, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7363, scimark_benchmark: 934.6998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8041, kappa: 0.5716, kb_relative_information_score: 132.0879, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8037, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.7495, scimark_benchmark: 948.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 131.3248, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.226, root_relative_squared_error: 0.7443, scimark_benchmark: 898.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8413, kappa: 0.6521, kb_relative_information_score: 164.5437, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8421, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7414, scimark_benchmark: 574.3241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8025, kappa: 0.5661, kb_relative_information_score: 115.3577, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8034, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.6071, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.7653, scimark_benchmark: 575.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7866, kappa: 0.533, kb_relative_information_score: 146.2886, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7861, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8425, kappa: 0.6564, kb_relative_information_score: 143.2563, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8422, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4967, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.7253, scimark_benchmark: 943.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8324, kappa: 0.6348, kb_relative_information_score: 143.9699, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.832, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4968, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.7459, scimark_benchmark: 943.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.8012, kappa: 0.5624, kb_relative_information_score: 133.1535, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8039, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5201, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.793, scimark_benchmark: 938.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8105, kappa: 0.5849, kb_relative_information_score: 160.0587, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.8533, scimark_benchmark: 927.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8311, kappa: 0.6302, kb_relative_information_score: 144.7236, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8315, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.7301, scimark_benchmark: 949.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.8014, kappa: 0.5668, kb_relative_information_score: 150.8457, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8008, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9258, scimark_benchmark: 938.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7755, kappa: 0.5131, kb_relative_information_score: 139.2562, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7755, predictive_accuracy: 0.7755, prior_entropy: 1.0314, recall: 0.7755, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.933, scimark_benchmark: 849.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7987, kappa: 0.5621, kb_relative_information_score: 148.8282, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7982, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9195, scimark_benchmark: 918.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.7829, kappa: 0.5245, kb_relative_information_score: 144.0068, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7824, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9484, scimark_benchmark: 946.7887,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.785, kappa: 0.5324, kb_relative_information_score: 146.1832, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7845, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.825, scimark_benchmark: 944.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 155.1151, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8773, scimark_benchmark: 934.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8348, kappa: 0.6385, kb_relative_information_score: 161.6251, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.835, predictive_accuracy: 0.8367, prior_entropy: 1.0314, recall: 0.8367, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7434, scimark_benchmark: 941.1725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8131, kappa: 0.5899, kb_relative_information_score: 124.6829, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.814, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.7655, scimark_benchmark: 913.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 946.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 123.2528, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.7512, scimark_benchmark: 947.0922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 909.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.8178, kappa: 0.5982, kb_relative_information_score: 8.3196, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.823, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.9519, scimark_benchmark: 946.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 107.1776, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8135, scimark_benchmark: 912.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8036, kappa: 0.5698, kb_relative_information_score: 121.9792, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8035, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.7582, scimark_benchmark: 949.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.8142, kappa: 0.5933, kb_relative_information_score: 7.5147, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.814, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9541, scimark_benchmark: 920.7688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8275, kappa: 0.6218, kb_relative_information_score: 147.2945, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.828, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 106.3034, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8136, scimark_benchmark: 947.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 947.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5125, kappa: 0.0172, kb_relative_information_score: -13.0088, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.6513, predictive_accuracy: 0.6429, prior_entropy: 1.0314, recall: 0.6429, relative_absolute_error: 1.0275, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0088, scimark_benchmark: 946.5196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.5143, kappa: 0.024, kb_relative_information_score: -12.6063, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7722, predictive_accuracy: 0.6463, prior_entropy: 1.0314, recall: 0.6463, relative_absolute_error: 1.0264, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3061, root_relative_squared_error: 1.0078, scimark_benchmark: 945.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7955, kappa: 0.5509, kb_relative_information_score: 130.795, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7963, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.249, root_relative_squared_error: 0.8198, scimark_benchmark: 910.3421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.7779, kappa: 0.5118, kb_relative_information_score: 103.1774, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7785, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8515, scimark_benchmark: 948.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8025, kappa: 0.5661, kb_relative_information_score: 123.6995, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8034, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.7511, scimark_benchmark: 946.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 111.2037, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.8138, scimark_benchmark: 947.1369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8152, kappa: 0.5931, kb_relative_information_score: 137.9831, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8183, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.5039, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.226, root_relative_squared_error: 0.744, scimark_benchmark: 917.9064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7766, kappa: 0.5115, kb_relative_information_score: 120.7028, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7758, predictive_accuracy: 0.7789, prior_entropy: 1.0314, recall: 0.7789, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7872, kappa: 0.535, kb_relative_information_score: 137.5906, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7865, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8344, scimark_benchmark: 910.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.6475, kappa: 0.2444, kb_relative_information_score: -5.3628, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7514, predictive_accuracy: 0.7075, prior_entropy: 1.0314, recall: 0.7075, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.9888, scimark_benchmark: 947.5192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 911.7944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 106.3034, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.8136, scimark_benchmark: 946.8921,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs