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

OpenML
OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20195 runs submitted
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Visibility: Public
  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20195 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 0.1176, build_memory: 860881119.6522, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 0.1572, build_memory: 257695249.5217, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, build_cpu_time: 0.038, build_memory: 173181215.3587, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, build_cpu_time: 62.2267, build_memory: 1266281109.5978, f_measure: 0.687, kappa: 0.5992, kb_relative_information_score: 465.1601, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6904, predictive_accuracy: 0.6889, prior_entropy: 2.2629, recall: 0.6889, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.8736, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, build_cpu_time: 30.1715, build_memory: 866208010.7826, f_measure: 0.6842, kappa: 0.5952, kb_relative_information_score: 459.9318, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6867, predictive_accuracy: 0.6848, prior_entropy: 2.2629, recall: 0.6848, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.347, root_relative_squared_error: 0.8768, scimark_benchmark: 944.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 16.6701, build_memory: 2339605423.6957, f_measure: 0.67, kappa: 0.5786, kb_relative_information_score: 453.1994, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6707, predictive_accuracy: 0.6726, prior_entropy: 2.2629, recall: 0.6726, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8707, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, build_cpu_time: 7.7001, build_memory: 530957827.1522, f_measure: 0.6635, kappa: 0.5688, kb_relative_information_score: 441.8338, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6652, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.8601, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, build_cpu_time: 0.0579, build_memory: 817495948.7935, f_measure: 0.6062, kappa: 0.4958, kb_relative_information_score: 394.277, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6069, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.8722, scimark_benchmark: 947.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, build_cpu_time: 0.011, build_memory: 1690812765.1304, f_measure: 0.598, kappa: 0.4858, kb_relative_information_score: 393.3401, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5981, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.8708, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, build_cpu_time: 0.206, build_memory: 758980253.1522, f_measure: 0.5615, kappa: 0.4374, kb_relative_information_score: 332.019, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.564, predictive_accuracy: 0.5625, prior_entropy: 2.2629, recall: 0.5625, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.8282, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, build_cpu_time: 0.1102, build_memory: 493811838.9891, f_measure: 0.6081, kappa: 0.5006, kb_relative_information_score: 345.9435, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6255, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8129, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 0.0003, build_memory: 1104998326.913, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, build_cpu_time: 0.411, build_memory: 927896664.5217, f_measure: 0.3737, kappa: 0.2663, kb_relative_information_score: 146.1933, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3742, predictive_accuracy: 0.4633, prior_entropy: 2.2629, recall: 0.4633, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.378, root_relative_squared_error: 0.9552, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, build_cpu_time: 0.4072, build_memory: 640563115.75, f_measure: 0.6428, kappa: 0.5464, kb_relative_information_score: 239.4429, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.645, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8706, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, build_cpu_time: 1.1629, build_memory: 704950031.1196, f_measure: 0.6435, kappa: 0.5436, kb_relative_information_score: 428.3803, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6446, predictive_accuracy: 0.644, prior_entropy: 2.2629, recall: 0.644, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.8089, scimark_benchmark: 942.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, build_cpu_time: 0.0025, build_memory: 112374240.5435, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, build_cpu_time: 0.0752, build_memory: 1108113753.9457, f_measure: 0.4504, kappa: 0.3024, kb_relative_information_score: 263.065, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4479, predictive_accuracy: 0.462, prior_entropy: 2.2629, recall: 0.462, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9364, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, build_cpu_time: 0.0102, build_memory: 27644168.4457, f_measure: 0.3421, kappa: 0.2907, kb_relative_information_score: 228.187, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2678, predictive_accuracy: 0.4851, prior_entropy: 2.2629, recall: 0.4851, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8943, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, build_cpu_time: 0.0027, build_memory: 104933081.5435, f_measure: 0.5898, kappa: 0.4685, kb_relative_information_score: 374.4882, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6211, predictive_accuracy: 0.5829, prior_entropy: 2.2629, recall: 0.5829, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0322, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, build_cpu_time: 0.023, build_memory: 325182968.7065, f_measure: 0.6092, kappa: 0.5025, kb_relative_information_score: 386.0476, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6259, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.8494, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.0004, build_memory: 373722855.0435, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.0002, build_memory: 476764170.9565, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.0002, build_memory: 1097735108.3913, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.0005, build_memory: 210476304.5217, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, build_cpu_time: 0.0003, build_memory: 425529728, f_measure: 0.131, kb_relative_information_score: 0.3581, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, build_cpu_time: 0.0029, build_memory: 34756472.0217, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, build_cpu_time: 2.9957, build_memory: 509845228.6957, f_measure: 0.644, kappa: 0.548, kb_relative_information_score: 233.1803, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6499, predictive_accuracy: 0.6508, prior_entropy: 2.2629, recall: 0.6508, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8706, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 6.196, build_memory: 131447145.6957, f_measure: 0.6451, kappa: 0.5476, kb_relative_information_score: 232.8725, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6497, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.8703, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, build_cpu_time: 6.1228, build_memory: 230066570.6739, f_measure: 0.6451, kappa: 0.5476, kb_relative_information_score: 232.8725, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6497, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.8703, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, build_cpu_time: 12.9038, build_memory: 321581884.1304, f_measure: 0.6518, kappa: 0.5562, kb_relative_information_score: 233.0166, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6574, predictive_accuracy: 0.6563, prior_entropy: 2.2629, recall: 0.6563, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.87, scimark_benchmark: 931.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 48.7254, build_memory: 2966002595.4457, f_measure: 0.6478, kappa: 0.5523, kb_relative_information_score: 232.7685, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6514, predictive_accuracy: 0.6535, prior_entropy: 2.2629, recall: 0.6535, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8701, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, build_cpu_time: 0.9449, build_memory: 499403074.5652, f_measure: 0.4448, kappa: 0.2951, kb_relative_information_score: 259.4013, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4413, predictive_accuracy: 0.4565, prior_entropy: 2.2629, recall: 0.4565, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9339, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, build_cpu_time: 0.532, build_memory: 230739733.2174, f_measure: 0.4423, kappa: 0.2901, kb_relative_information_score: 258.2808, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4408, predictive_accuracy: 0.4524, prior_entropy: 2.2629, recall: 0.4524, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9345, scimark_benchmark: 946.5993,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 2.0552, build_memory: 808120985.2609, f_measure: 0.6501, kappa: 0.5534, kb_relative_information_score: 412.4109, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6531, predictive_accuracy: 0.6535, prior_entropy: 2.2629, recall: 0.6535, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.7487, scimark_benchmark: 947.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 1.0048, build_memory: 844840043.0652, f_measure: 0.6601, kappa: 0.5655, kb_relative_information_score: 412.3659, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6635, predictive_accuracy: 0.663, prior_entropy: 2.2629, recall: 0.663, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.7512, scimark_benchmark: 939.2338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, build_cpu_time: 1.0463, build_memory: 183834338.3478, f_measure: 0.6601, kappa: 0.5655, kb_relative_information_score: 412.3659, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6635, predictive_accuracy: 0.663, prior_entropy: 2.2629, recall: 0.663, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.7512, scimark_benchmark: 897.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.6279, build_memory: 639510864.5109, f_measure: 0.6465, kappa: 0.5487, kb_relative_information_score: 413.6578, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6482, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.7519, scimark_benchmark: 904.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, build_cpu_time: 0.2532, build_memory: 307078873.7717, f_measure: 0.6353, kappa: 0.5345, kb_relative_information_score: 407.8807, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6372, predictive_accuracy: 0.6386, prior_entropy: 2.2629, recall: 0.6386, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.7639, scimark_benchmark: 924.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, build_cpu_time: 0.2887, build_memory: 509047988.5543, f_measure: 0.6353, kappa: 0.5345, kb_relative_information_score: 407.8807, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6372, predictive_accuracy: 0.6386, prior_entropy: 2.2629, recall: 0.6386, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.7639, scimark_benchmark: 934.0097,
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: 0.6921, f_measure: 0.5156, kappa: 0.3773, kb_relative_information_score: 312.1376, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5232, predictive_accuracy: 0.5109, prior_entropy: 2.2629, recall: 0.5109, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4407, root_relative_squared_error: 1.1136, scimark_benchmark: 895.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5572, kappa: 0.4282, kb_relative_information_score: 351.7632, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6339, predictive_accuracy: 0.553, prior_entropy: 2.2629, recall: 0.553, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9446, scimark_benchmark: 861.1072,
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: 0.8668, f_measure: 0.6359, kappa: 0.5358, kb_relative_information_score: 237.8875, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6387, predictive_accuracy: 0.6359, prior_entropy: 2.2629, recall: 0.6359, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8721, scimark_benchmark: 598.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.5926, kappa: 0.4871, kb_relative_information_score: 76.5213, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5913, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9663, scimark_benchmark: 600.1642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.6661, kappa: 0.5773, kb_relative_information_score: 387.3461, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6787, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.7492, scimark_benchmark: 947.2183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.644, kappa: 0.5426, kb_relative_information_score: 249.0621, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6569, predictive_accuracy: 0.6467, prior_entropy: 2.2629, recall: 0.6467, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.329, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.5996, kappa: 0.4871, kb_relative_information_score: 332.9391, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6152, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.325, root_relative_squared_error: 0.8213, scimark_benchmark: 588.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.4423, kappa: 0.2901, kb_relative_information_score: 258.2808, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4408, predictive_accuracy: 0.4524, prior_entropy: 2.2629, recall: 0.4524, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9345, scimark_benchmark: 592.4927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.6291, kappa: 0.5338, kb_relative_information_score: 387.1415, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6663, predictive_accuracy: 0.6427, prior_entropy: 2.2629, recall: 0.6427, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.8118, scimark_benchmark: 859.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.4771, kappa: 0.3309, kb_relative_information_score: 280.3295, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4808, predictive_accuracy: 0.4742, prior_entropy: 2.2629, recall: 0.4742, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1483, scimark_benchmark: 595.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.6542, kappa: 0.5605, kb_relative_information_score: 403.9454, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.655, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.7752, scimark_benchmark: 895.3094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.5925, kappa: 0.4717, kb_relative_information_score: 376.7284, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6265, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9673, scimark_benchmark: 896.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.6818, kappa: 0.5934, kb_relative_information_score: 450.5969, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6864, predictive_accuracy: 0.6848, prior_entropy: 2.2629, recall: 0.6848, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.7951, scimark_benchmark: 944.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.4771, kappa: 0.3309, kb_relative_information_score: 280.3295, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4808, predictive_accuracy: 0.4742, prior_entropy: 2.2629, recall: 0.4742, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1483, scimark_benchmark: 944.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.6468, kappa: 0.5518, kb_relative_information_score: 313.9975, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6492, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.8104, scimark_benchmark: 886.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.5502, kappa: 0.4267, kb_relative_information_score: 319.6221, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5622, predictive_accuracy: 0.5584, prior_entropy: 2.2629, recall: 0.5584, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.838, scimark_benchmark: 944.0557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.588, kappa: 0.472, kb_relative_information_score: 349.4185, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6083, predictive_accuracy: 0.5897, prior_entropy: 2.2629, recall: 0.5897, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.823, scimark_benchmark: 933.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.4874, kappa: 0.3409, kb_relative_information_score: 183.8029, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4973, predictive_accuracy: 0.4918, prior_entropy: 2.2629, recall: 0.4918, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9284, scimark_benchmark: 944.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.5511, kappa: 0.4209, kb_relative_information_score: 353.7627, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.578, predictive_accuracy: 0.5421, prior_entropy: 2.2629, recall: 0.5421, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9425, scimark_benchmark: 924.9655,

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