Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24423 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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24423 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.2904, kappa: 0.2228, kb_relative_information_score: 536.9853, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2978, predictive_accuracy: 0.3005, prior_entropy: 3.3219, recall: 0.3005, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.374, root_relative_squared_error: 1.2468, scimark_benchmark: 1990.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.7716, kappa: 0.7478, kb_relative_information_score: 1476.0539, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368, scimark_benchmark: 1989.1628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 2018.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.808, kappa: 0.7867, kb_relative_information_score: 1563.212, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8122, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.6148, scimark_benchmark: 2013.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.0889, kappa: 0.105, kb_relative_information_score: 410.4581, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0609, predictive_accuracy: 0.1945, prior_entropy: 3.3219, recall: 0.1945, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.9656, scimark_benchmark: 2016.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.927, kappa: 0.9189, kb_relative_information_score: 585.612, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9283, predictive_accuracy: 0.927, prior_entropy: 3.3219, recall: 0.927, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9113, scimark_benchmark: 2018.1713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8731, kappa: 0.8594, kb_relative_information_score: 1623.5388, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8736, predictive_accuracy: 0.8735, prior_entropy: 3.3219, recall: 0.8735, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.4772, scimark_benchmark: 2014.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9636, kappa: 0.9594, kb_relative_information_score: 592.8675, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.964, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9084, scimark_benchmark: 2013.1202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9184, kappa: 0.9094, kb_relative_information_score: 1594.149, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9193, predictive_accuracy: 0.9185, prior_entropy: 3.3219, recall: 0.9185, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4836, scimark_benchmark: 950.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9032, kappa: 0.8928, kb_relative_information_score: 1702.7169, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9037, predictive_accuracy: 0.9035, prior_entropy: 3.3219, recall: 0.9035, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.441, scimark_benchmark: 947.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9237, kappa: 0.915, kb_relative_information_score: 1845.1393, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9246, predictive_accuracy: 0.9235, prior_entropy: 3.3219, recall: 0.9235, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3786, scimark_benchmark: 908.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9353, kappa: 0.9278, kb_relative_information_score: 1870.9382, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.937, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3519, scimark_benchmark: 944.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.5743, kappa: 0.6028, kb_relative_information_score: 688.2023, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6833, predictive_accuracy: 0.6425, prior_entropy: 3.3219, recall: 0.6425, relative_absolute_error: 0.8538, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.8931, scimark_benchmark: 911.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1891.8705, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9547, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.2785, scimark_benchmark: 943.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9521, kappa: 0.9467, kb_relative_information_score: 1603.767, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9526, predictive_accuracy: 0.952, prior_entropy: 3.3219, recall: 0.952, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4537, scimark_benchmark: 947.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 594.8588, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9079, scimark_benchmark: 911.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8086, kappa: 0.7883, kb_relative_information_score: 1606.914, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6187, scimark_benchmark: 950.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 596.3207, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9086, scimark_benchmark: 910.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.794, kappa: 0.7722, kb_relative_information_score: 1569.6703, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6115, scimark_benchmark: 943.0285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.3976, kappa: 0.2778, kb_relative_information_score: 331.0613, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9106, predictive_accuracy: 0.35, prior_entropy: 3.3219, recall: 0.35, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9771, scimark_benchmark: 934.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8086, kappa: 0.7883, kb_relative_information_score: 1606.743, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186, scimark_benchmark: 947.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9686, kappa: 0.965, kb_relative_information_score: 593.9914, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9079, scimark_benchmark: 946.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8961, kappa: 0.8844, kb_relative_information_score: 1786.4524, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8966, predictive_accuracy: 0.896, prior_entropy: 3.3219, recall: 0.896, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1411, root_relative_squared_error: 0.4703, scimark_benchmark: 911.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.0489, kappa: 0.0172, kb_relative_information_score: 163.3361, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1155, prior_entropy: 3.3219, recall: 0.1155, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0208, scimark_benchmark: 938.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.941, kappa: 0.9317, kb_relative_information_score: 584.2535, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9503, predictive_accuracy: 0.9385, prior_entropy: 3.3219, recall: 0.9385, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.9118, scimark_benchmark: 947.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8193, kappa: 0.7567, kb_relative_information_score: 532.2267, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9234, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9255, scimark_benchmark: 944.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1909.63, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9615, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2598, scimark_benchmark: 942.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9034, kappa: 0.8928, kb_relative_information_score: 1540.0354, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9039, predictive_accuracy: 0.9035, prior_entropy: 3.3219, recall: 0.9035, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.15, root_relative_squared_error: 0.5, scimark_benchmark: 949.7806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7869, kappa: 0.7644, kb_relative_information_score: 1530.2588, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7876, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.6154, scimark_benchmark: 947.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9353, kappa: 0.9278, kb_relative_information_score: 1870.9729, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9371, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3519, scimark_benchmark: 948.6277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9636, kappa: 0.9594, kb_relative_information_score: 592.4209, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.9635, prior_entropy: 3.3219, recall: 0.9635, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.9091, scimark_benchmark: 907.2466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8076, kappa: 0.7872, kb_relative_information_score: 1606.1781, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8078, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.6205, scimark_benchmark: 947.2772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9039, kappa: 0.8933, kb_relative_information_score: 1643.9568, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9042, predictive_accuracy: 0.904, prior_entropy: 3.3219, recall: 0.904, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.135, root_relative_squared_error: 0.4499, scimark_benchmark: 944.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7564, kappa: 0.7306, kb_relative_information_score: 1459.2584, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7564, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6489, scimark_benchmark: 909.7867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9525, kappa: 0.9472, kb_relative_information_score: 1892.4358, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 3.3219, recall: 0.9525, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2834, scimark_benchmark: 948.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9565, kappa: 0.9517, kb_relative_information_score: 1892.2994, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9585, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2721, scimark_benchmark: 949.1903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9545, kappa: 0.9494, kb_relative_information_score: 1885.1197, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9561, predictive_accuracy: 0.9545, prior_entropy: 3.3219, recall: 0.9545, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.2792, scimark_benchmark: 946.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.424, kappa: 0.3006, kb_relative_information_score: 330.6025, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9123, predictive_accuracy: 0.3705, prior_entropy: 3.3219, recall: 0.3705, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.9773, scimark_benchmark: 947.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.979, kappa: 0.9767, kb_relative_information_score: 596.3207, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.3219, recall: 0.979, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9086, scimark_benchmark: 949.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9499, kappa: 0.9439, kb_relative_information_score: 589.1615, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9519, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9104, scimark_benchmark: 946.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9639, kappa: 0.96, kb_relative_information_score: 1920.5568, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9644, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2821, scimark_benchmark: 942.8585,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.7888, kappa: 0.7667, kb_relative_information_score: 1528.7957, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7891, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6136, scimark_benchmark: 945.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8072, kappa: 0.7867, kb_relative_information_score: 1601.204, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8075, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.618, scimark_benchmark: 909.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.959, kappa: 0.9544, kb_relative_information_score: 1904.1987, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9609, predictive_accuracy: 0.959, prior_entropy: 3.3219, recall: 0.959, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.079, root_relative_squared_error: 0.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.0743, kappa: 0.0117, kb_relative_information_score: 162.9359, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6404, predictive_accuracy: 0.1105, prior_entropy: 3.3219, recall: 0.1105, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0209, scimark_benchmark: 910.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8874, kappa: 0.8606, kb_relative_information_score: 563.4527, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9268, predictive_accuracy: 0.8745, prior_entropy: 3.3219, recall: 0.8745, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9175, scimark_benchmark: 945.3239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8869, kappa: 0.8744, kb_relative_information_score: 1723.7706, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8871, predictive_accuracy: 0.887, prior_entropy: 3.3219, recall: 0.887, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.4276, scimark_benchmark: 949.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9606, kappa: 0.9561, kb_relative_information_score: 593.0132, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9611, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.908, scimark_benchmark: 945.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.0527, kappa: 0.0194, kb_relative_information_score: 164.5929, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9102, predictive_accuracy: 0.1175, prior_entropy: 3.3219, recall: 0.1175, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.0206, scimark_benchmark: 945.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7941, kappa: 0.7722, kb_relative_information_score: 1571.7199, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6109, scimark_benchmark: 944.9742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9596, kappa: 0.955, kb_relative_information_score: 591.888, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9599, predictive_accuracy: 0.9595, prior_entropy: 3.3219, recall: 0.9595, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 910.1533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 591.6534, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9579, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081, scimark_benchmark: 944.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 911.1447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9445, kappa: 0.9383, kb_relative_information_score: 1879.1237, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9449, predictive_accuracy: 0.9445, prior_entropy: 3.3219, recall: 0.9445, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3124, scimark_benchmark: 947.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.0743, kappa: 0.0117, kb_relative_information_score: 162.9359, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6404, predictive_accuracy: 0.1105, prior_entropy: 3.3219, recall: 0.1105, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0209, scimark_benchmark: 947.7039,

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