OpenML
Supervised Classification on ada_agnostic

Supervised Classification on ada_agnostic

Task 3896 Supervised Classification ada_agnostic 102456 runs submitted
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  • OpenML100 study_1 study_123 study_14 study_41 study_7 under100k under1m
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102456 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.8155, kappa: 0.5003, kb_relative_information_score: 2084.5185, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8139, predictive_accuracy: 0.8176, prior_entropy: 0.8085, recall: 0.8176, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8154, kappa: 0.494, kb_relative_information_score: 1980.2649, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8131, predictive_accuracy: 0.8203, prior_entropy: 0.8085, recall: 0.8203, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.844, kappa: 0.5669, kb_relative_information_score: 1941.9855, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8447, predictive_accuracy: 0.8512, prior_entropy: 0.8085, recall: 0.8512, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.829, kappa: 0.5332, kb_relative_information_score: 1838.6511, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8271, predictive_accuracy: 0.8325, prior_entropy: 0.8085, recall: 0.8325, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.811, kappa: 0.4899, kb_relative_information_score: 1815.1695, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8098, predictive_accuracy: 0.8124, prior_entropy: 0.8085, recall: 0.8124, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8387, kappa: 0.5539, kb_relative_information_score: 1840.5719, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8381, predictive_accuracy: 0.845, prior_entropy: 0.8085, recall: 0.845, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8227, kappa: 0.5262, kb_relative_information_score: 1834.0301, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8232, predictive_accuracy: 0.8222, prior_entropy: 0.8085, recall: 0.8222, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8147, kappa: 0.5043, kb_relative_information_score: 1640.0078, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8151, predictive_accuracy: 0.8143, prior_entropy: 0.8085, recall: 0.8143, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8127, kappa: 0.4977, kb_relative_information_score: 1787.9358, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8126, predictive_accuracy: 0.8128, prior_entropy: 0.8085, recall: 0.8128, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8365, kappa: 0.5475, kb_relative_information_score: 2388.7406, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8359, predictive_accuracy: 0.8431, prior_entropy: 0.8085, recall: 0.8431, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8263, kappa: 0.5195, kb_relative_information_score: 1871.0978, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8251, predictive_accuracy: 0.8332, prior_entropy: 0.8085, recall: 0.8332, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.8398, kappa: 0.5576, kb_relative_information_score: 2452.1773, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.839, predictive_accuracy: 0.8457, prior_entropy: 0.8085, recall: 0.8457, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.8326, kappa: 0.5325, kb_relative_information_score: 2404.2494, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8346, predictive_accuracy: 0.8422, prior_entropy: 0.8085, recall: 0.8422, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.846, kappa: 0.5729, kb_relative_information_score: 2548.0331, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8464, predictive_accuracy: 0.8527, prior_entropy: 0.8085, recall: 0.8527, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.8101, kappa: 0.4721, kb_relative_information_score: 2089.7226, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8087, predictive_accuracy: 0.8192, prior_entropy: 0.8085, recall: 0.8192, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.8305, kappa: 0.529, kb_relative_information_score: 2353.326, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8304, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.845, kappa: 0.57, kb_relative_information_score: 2536.0511, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8455, predictive_accuracy: 0.8518, prior_entropy: 0.8085, recall: 0.8518, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7002, kappa: 0.3711, kb_relative_information_score: 172.6069, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8207, predictive_accuracy: 0.6789, prior_entropy: 0.8085, recall: 0.6789, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7335, kappa: 0.2339, kb_relative_information_score: 1650.078, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7842, predictive_accuracy: 0.7861, prior_entropy: 0.8085, recall: 0.7861, relative_absolute_error: 0.5807, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8225, kappa: 0.5049, kb_relative_information_score: 1398.7566, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.823, predictive_accuracy: 0.8321, prior_entropy: 0.8085, recall: 0.8321, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.819, kappa: 0.51, kb_relative_information_score: 1854.2632, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8175, predictive_accuracy: 0.8209, prior_entropy: 0.8085, recall: 0.8209, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.7703, kappa: 0.4561, kb_relative_information_score: 1221.1122, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.819, predictive_accuracy: 0.7554, prior_entropy: 0.8085, recall: 0.7554, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8426, kappa: 0.5599, kb_relative_information_score: 1565.1849, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8459, predictive_accuracy: 0.8518, prior_entropy: 0.8085, recall: 0.8518, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8291, kappa: 0.5303, kb_relative_information_score: 1870.8879, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8274, predictive_accuracy: 0.8343, prior_entropy: 0.8085, recall: 0.8343, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7919, kappa: 0.4471, kb_relative_information_score: 1694.3175, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7939, predictive_accuracy: 0.7902, prior_entropy: 0.8085, recall: 0.7902, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.458, root_relative_squared_error: 1.0604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8229, kappa: 0.5085, kb_relative_information_score: 1716.1942, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8222, predictive_accuracy: 0.831, prior_entropy: 0.8085, recall: 0.831, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.348, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6467, kappa: 0.0009, kb_relative_information_score: -16.7681, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.6331, predictive_accuracy: 0.7497, prior_entropy: 0.8085, recall: 0.7497, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8369, kappa: 0.5554, kb_relative_information_score: 1761.2401, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8352, predictive_accuracy: 0.84, prior_entropy: 0.8085, recall: 0.84, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.8289, kappa: 0.5265, kb_relative_information_score: 2317.3801, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8279, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.8289, kappa: 0.5265, kb_relative_information_score: 2317.3801, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8279, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.8289, kappa: 0.5265, kb_relative_information_score: 2317.3801, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8279, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8333, kappa: 0.5316, kb_relative_information_score: 1712.7516, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8389, predictive_accuracy: 0.845, prior_entropy: 0.8085, recall: 0.845, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.7128, kappa: 0.1757, kb_relative_information_score: 653.79, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.772, predictive_accuracy: 0.776, prior_entropy: 0.8085, recall: 0.776, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6454, kb_relative_information_score: 47.9765, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8335, kappa: 0.537, kb_relative_information_score: 1673.9165, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8339, predictive_accuracy: 0.8415, prior_entropy: 0.8085, recall: 0.8415, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8289, kappa: 0.5265, kb_relative_information_score: 1638.5482, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8279, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8336, kappa: 0.5354, kb_relative_information_score: 1602.5555, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8356, predictive_accuracy: 0.8431, prior_entropy: 0.8085, recall: 0.8431, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8159, kappa: 0.4787, kb_relative_information_score: 1257.9134, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8251, predictive_accuracy: 0.8321, prior_entropy: 0.8085, recall: 0.8321, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7002, kappa: 0.3711, kb_relative_information_score: 162.2112, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8207, predictive_accuracy: 0.6789, prior_entropy: 0.8085, recall: 0.6789, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.835, kappa: 0.5454, kb_relative_information_score: 1850.2633, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8336, predictive_accuracy: 0.8404, prior_entropy: 0.8085, recall: 0.8404, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8286, kappa: 0.5261, kb_relative_information_score: 1735.8735, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8275, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8295, kappa: 0.5261, kb_relative_information_score: 1777.9999, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8294, predictive_accuracy: 0.8376, prior_entropy: 0.8085, recall: 0.8376, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.8363, kappa: 0.5422, kb_relative_information_score: 1713.061, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.839, predictive_accuracy: 0.8459, prior_entropy: 0.8085, recall: 0.8459, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7143, kappa: 0.1788, kb_relative_information_score: 404.0935, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7536, predictive_accuracy: 0.7725, prior_entropy: 0.8085, recall: 0.7725, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8288, kappa: 0.523, kb_relative_information_score: 1577.7769, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8293, predictive_accuracy: 0.8376, prior_entropy: 0.8085, recall: 0.8376, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8333, kappa: 0.5316, kb_relative_information_score: 1712.7516, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8389, predictive_accuracy: 0.845, prior_entropy: 0.8085, recall: 0.845, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.8289, kappa: 0.5265, kb_relative_information_score: 1638.5482, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8279, predictive_accuracy: 0.8358, prior_entropy: 0.8085, recall: 0.8358, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.7981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8344, kappa: 0.5388, kb_relative_information_score: 1671.815, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8353, predictive_accuracy: 0.8428, prior_entropy: 0.8085, recall: 0.8428, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.7683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.844, kappa: 0.5688, kb_relative_information_score: 1982.2098, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8437, predictive_accuracy: 0.8501, prior_entropy: 0.8085, recall: 0.8501, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.6454, kb_relative_information_score: 47.9275, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8336, kappa: 0.5354, kb_relative_information_score: 1602.5555, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8356, predictive_accuracy: 0.8431, prior_entropy: 0.8085, recall: 0.8431, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8178, kappa: 0.4842, kb_relative_information_score: 1254.7433, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8273, predictive_accuracy: 0.8338, prior_entropy: 0.8085, recall: 0.8338, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7959, kappa: 0.442, kb_relative_information_score: 1435.3327, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.793, predictive_accuracy: 0.8005, prior_entropy: 0.8085, recall: 0.8005, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8304, kappa: 0.5287, kb_relative_information_score: 1783.0362, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8304, predictive_accuracy: 0.8384, prior_entropy: 0.8085, recall: 0.8384, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8286, kappa: 0.5261, kb_relative_information_score: 1735.8735, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8275, predictive_accuracy: 0.8354, prior_entropy: 0.8085, recall: 0.8354, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7828,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.-1).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.835, kappa: 0.5454, kb_relative_information_score: 1850.2633, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8336, predictive_accuracy: 0.8404, prior_entropy: 0.8085, recall: 0.8404, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.7635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7002, kappa: 0.3711, kb_relative_information_score: 162.2112, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8207, predictive_accuracy: 0.6789, prior_entropy: 0.8085, recall: 0.6789, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.2866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.7164, kappa: 0.1848, kb_relative_information_score: 458.3344, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.7565, predictive_accuracy: 0.7738, prior_entropy: 0.8085, recall: 0.7738, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8454, kappa: 0.5723, kb_relative_information_score: 1998.5098, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8453, predictive_accuracy: 0.8516, prior_entropy: 0.8085, recall: 0.8516, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.835, kappa: 0.5431, kb_relative_information_score: 1594.0734, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8344, predictive_accuracy: 0.8417, prior_entropy: 0.8085, recall: 0.8417, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.836, kappa: 0.5403, kb_relative_information_score: 1690.3957, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8401, predictive_accuracy: 0.8466, prior_entropy: 0.8085, recall: 0.8466, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.8052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8416, kappa: 0.5646, kb_relative_information_score: 1791.8216, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8403, predictive_accuracy: 0.8463, prior_entropy: 0.8085, recall: 0.8463, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.7619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8271, kappa: 0.5184, kb_relative_information_score: 1742.3, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8276, predictive_accuracy: 0.836, prior_entropy: 0.8085, recall: 0.836, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8103, kappa: 0.4709, kb_relative_information_score: 1567.2962, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8099, predictive_accuracy: 0.8207, prior_entropy: 0.8085, recall: 0.8207, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8383, kappa: 0.556, kb_relative_information_score: 1859.1992, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8369, predictive_accuracy: 0.8431, prior_entropy: 0.8085, recall: 0.8431, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8293, kappa: 0.5246, kb_relative_information_score: 1577.8976, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8298, predictive_accuracy: 0.838, prior_entropy: 0.8085, recall: 0.838, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.8029, kappa: 0.4454, kb_relative_information_score: 1110.0198, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8053, predictive_accuracy: 0.8172, prior_entropy: 0.8085, recall: 0.8172, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8528,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.8029, kappa: 0.4454, kb_relative_information_score: 1110.0198, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8053, predictive_accuracy: 0.8172, prior_entropy: 0.8085, recall: 0.8172, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.8029, kappa: 0.4454, kb_relative_information_score: 1110.0198, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8053, predictive_accuracy: 0.8172, prior_entropy: 0.8085, recall: 0.8172, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.835, kappa: 0.5431, kb_relative_information_score: 1594.0734, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8344, predictive_accuracy: 0.8417, prior_entropy: 0.8085, recall: 0.8417, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6454, kb_relative_information_score: 0.6013, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.5653, predictive_accuracy: 0.7519, prior_entropy: 0.8085, recall: 0.7519, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4319, root_relative_squared_error: 1,

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