OpenML
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 479.965, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3843, scimark_benchmark: 1873.5991, usercpu_time_millis: 19.439, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 18.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 440.7606, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4512, scimark_benchmark: 1850.6792, usercpu_time_millis: 6.471, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 6.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9274, kappa: 0.8436, kb_relative_information_score: 410.5982, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9282, predictive_accuracy: 0.9279, prior_entropy: 0.953, recall: 0.9279, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4746, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.207, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 476.2783, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3779, scimark_benchmark: 1852.9259, usercpu_time_millis: 7.439, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 6.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 431.3784, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.4497, scimark_benchmark: 1892.5388, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4838, kb_relative_information_score: 0.5489, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 485.2717, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3622, scimark_benchmark: 1867.7991, usercpu_time_millis: 5.533, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 5.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 470.5936, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3983, scimark_benchmark: 1854.4951, usercpu_time_millis: 11.748, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 11.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 464.5789, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4024, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.498, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 6.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 476.6848, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3725, scimark_benchmark: 1871.576, usercpu_time_millis: 5.866, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 5.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9578, kappa: 0.9096, kb_relative_information_score: 463.3593, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3956, scimark_benchmark: 1871.9601, usercpu_time_millis: 5.008, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 4.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 467.3093, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3819, scimark_benchmark: 1854.1097, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9542, kappa: 0.9017, kb_relative_information_score: 422.1793, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4378, scimark_benchmark: 1854.1098, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 466.6291, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4007, scimark_benchmark: 1860.4615, usercpu_time_millis: 2.773, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 460.2494, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4087, scimark_benchmark: 1844.6502, usercpu_time_millis: 3.017, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 2.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9367, kappa: 0.8644, kb_relative_information_score: 424.2812, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4493, scimark_benchmark: 1851.9456, usercpu_time_millis: 2.428, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9579, kappa: 0.91, kb_relative_information_score: 470.9107, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.3939, scimark_benchmark: 1849.408, usercpu_time_millis: 0.515, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 475.6267, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3728, scimark_benchmark: 1857.66, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 482.2078, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.38, scimark_benchmark: 1862.7829, usercpu_time_millis: 2.731, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 2.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 480.6754, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3776, scimark_benchmark: 1861.4051, usercpu_time_millis: 2.121, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 2.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9456, kappa: 0.8838, kb_relative_information_score: 455.0352, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9457, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4257, scimark_benchmark: 1866.1679, usercpu_time_millis: 2.099, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 413.6598, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4586, scimark_benchmark: 1860.8771, usercpu_time_millis: 2.187, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9406, kappa: 0.8739, kb_relative_information_score: 441.6491, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9421, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4304, scimark_benchmark: 1835.7221, usercpu_time_millis: 0.681, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 462.9535, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4108, scimark_benchmark: 1850.0906, usercpu_time_millis: 6.851, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 6.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: 0.1608, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1867.1358, usercpu_time_millis: 1.28, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 464.1267, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4139, scimark_benchmark: 1849.2985, usercpu_time_millis: 5.247, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 5.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 465.812, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.404, scimark_benchmark: 1817.8966, usercpu_time_millis: 2.572, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 2.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9056, kappa: 0.7963, kb_relative_information_score: 390.7969, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9077, predictive_accuracy: 0.9069, prior_entropy: 0.953, recall: 0.9069, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5358, scimark_benchmark: 1866.6776, usercpu_time_millis: 1.662, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 355.1675, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5138, scimark_benchmark: 1814.0297, usercpu_time_millis: 1.526, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 414.7102, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.438, scimark_benchmark: 1852.6134, usercpu_time_millis: 2.924, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 2.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9525, kappa: 0.8982, kb_relative_information_score: 482.5341, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4125, scimark_benchmark: 1868.1832, usercpu_time_millis: 3.623, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 3.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 487.6034, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3667, scimark_benchmark: 1865.7127, usercpu_time_millis: 9.405, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 9.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.935, kappa: 0.861, kb_relative_information_score: 422.6847, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.935, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4513, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.654, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 421.0177, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4609, scimark_benchmark: 1871.5019, usercpu_time_millis: 3.734, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 3.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4838, kb_relative_information_score: 0.445, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.261,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 464.0303, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4005, scimark_benchmark: 1819.5577, usercpu_time_millis: 3.363, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 3.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 472.159, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4014, scimark_benchmark: 1851.3688, usercpu_time_millis: 9.16, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 8.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9507, kappa: 0.8945, kb_relative_information_score: 468.9011, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4068, scimark_benchmark: 1843.1989, usercpu_time_millis: 14.65, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 14.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 446.1591, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4306, scimark_benchmark: 1864.2743, usercpu_time_millis: 3.759, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 3.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4838, kb_relative_information_score: 0.2372, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.615, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9543, kappa: 0.9023, kb_relative_information_score: 477.8235, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9543, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3855, scimark_benchmark: 1850.1541, usercpu_time_millis: 10.801, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 10.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 466.3605, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1952, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3954, scimark_benchmark: 1867.3397, usercpu_time_millis: 2.551, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 458.6293, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4114, scimark_benchmark: 1867.1541, usercpu_time_millis: 0.9, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9296, kappa: 0.8491, kb_relative_information_score: 426.2747, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9295, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4663, scimark_benchmark: 1845.7881, usercpu_time_millis: 0.371, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9421, kappa: 0.8765, kb_relative_information_score: 477.6457, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9424, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.438, scimark_benchmark: 1858.581, usercpu_time_millis: 23.158, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 22.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9335, kappa: 0.8582, kb_relative_information_score: 436.6988, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9341, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4467, scimark_benchmark: 1846.4518, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 473.2744, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3866, scimark_benchmark: 1868.1832, usercpu_time_millis: 7.732, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 7.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 443.3107, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4129, scimark_benchmark: 1835.9386, usercpu_time_millis: 1.938, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 481.0135, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.186, root_relative_squared_error: 0.3846, scimark_benchmark: 1872.4216, usercpu_time_millis: 9.814, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 9.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.4838, kb_relative_information_score: 0.2785, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1836.0776, usercpu_time_millis: 0.878, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9421, kappa: 0.8763, kb_relative_information_score: 462.0277, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4207, scimark_benchmark: 1861.8632, usercpu_time_millis: 1.925, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 465.7016, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4117, scimark_benchmark: 1872.0299, usercpu_time_millis: 12.406, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 12.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9353, kappa: 0.8624, kb_relative_information_score: 435.4305, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9363, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2585, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4401, scimark_benchmark: 1860.4231, usercpu_time_millis: 3.032, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9301, kappa: 0.8513, kb_relative_information_score: 441.732, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9313, predictive_accuracy: 0.9297, prior_entropy: 0.953, recall: 0.9297, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.452, scimark_benchmark: 1861.8632, usercpu_time_millis: 4.927, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 4.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 479.7962, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3705, scimark_benchmark: 1845.6739, usercpu_time_millis: 3.399, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 3.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9666, kappa: 0.9286, kb_relative_information_score: 489.0664, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.953, recall: 0.9666, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.358, scimark_benchmark: 1871.8506, usercpu_time_millis: 10.183, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 9.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4838, kb_relative_information_score: 0.0674, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1823.9791, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.92, kappa: 0.8274, kb_relative_information_score: 398.0341, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9218, predictive_accuracy: 0.9209, prior_entropy: 0.953, recall: 0.9209, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4865, scimark_benchmark: 1866.7459, usercpu_time_millis: 0.372, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9595, kappa: 0.9133, kb_relative_information_score: 481.0035, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3928, scimark_benchmark: 1864.7294, usercpu_time_millis: 6.148, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 5.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.0981, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9631, kappa: 0.921, kb_relative_information_score: 478.5904, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3655, scimark_benchmark: 1867.725, usercpu_time_millis: 5.225, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 4.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9166, kappa: 0.8204, kb_relative_information_score: 401.5243, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9177, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4975, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 463.723, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3951, scimark_benchmark: 1863.9794, usercpu_time_millis: 3.121, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 479.8451, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3846, scimark_benchmark: 1869.9448, usercpu_time_millis: 13.296, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 12.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9544, kappa: 0.9028, kb_relative_information_score: 455.6198, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9548, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4023, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.825, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.558,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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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

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