OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9392, kappa: 0.8497, kb_relative_information_score: 25764.6274, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9393, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.4713, scimark_benchmark: 1724.947, usercpu_time_millis: 2535.389, usercpu_time_millis_testing: 27.488, usercpu_time_millis_training: 2507.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9461, kappa: 0.8673, kb_relative_information_score: 26944.9727, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.449, scimark_benchmark: 1852.4707, usercpu_time_millis: 1907.937, usercpu_time_millis_testing: 5.899, usercpu_time_millis_training: 1902.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8677, kappa: 0.6777, kb_relative_information_score: 17356.3717, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8687, predictive_accuracy: 0.867, prior_entropy: 0.863, recall: 0.867, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6804, scimark_benchmark: 1727.1069, usercpu_time_millis: 855.219, usercpu_time_millis_testing: 6.616, usercpu_time_millis_training: 848.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29449.4683, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3623, scimark_benchmark: 1843.3605, usercpu_time_millis: 776.189, usercpu_time_millis_testing: 4.361, usercpu_time_millis_training: 771.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9525, kappa: 0.8834, kb_relative_information_score: 27278.0572, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9526, prior_entropy: 0.863, recall: 0.9526, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.194, root_relative_squared_error: 0.4296, scimark_benchmark: 2010.4375, usercpu_time_millis: 524.777, usercpu_time_millis_testing: 10.559, usercpu_time_millis_training: 514.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 29096.9941, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1728.8693, usercpu_time_millis: 189.608, usercpu_time_millis_testing: 4.984, usercpu_time_millis_training: 184.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9386, kappa: 0.8481, kb_relative_information_score: 26047.8937, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4711, scimark_benchmark: 1730.9334, usercpu_time_millis: 97.376, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 96.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.5388, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1843.7454, usercpu_time_millis: 39.707, usercpu_time_millis_testing: 5.016, usercpu_time_millis_training: 34.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.1835, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1844.7258, usercpu_time_millis: 49.362, usercpu_time_millis_testing: 6.697, usercpu_time_millis_training: 42.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.8614, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 36.803, usercpu_time_millis_testing: 6.085, usercpu_time_millis_training: 30.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9505, kappa: 0.8785, kb_relative_information_score: 27501.1271, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4329, scimark_benchmark: 1848.7762, usercpu_time_millis: 8681.353, usercpu_time_millis_testing: 23.57, usercpu_time_millis_training: 8657.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 30065.0554, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1364.4286, usercpu_time_millis: 12655.695, usercpu_time_millis_testing: 20.574, usercpu_time_millis_training: 12635.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9539, kappa: 0.887, kb_relative_information_score: 28066.6055, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4156, scimark_benchmark: 1850.4554, usercpu_time_millis: 5074.008, usercpu_time_millis_testing: 15.278, usercpu_time_millis_training: 5058.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9514, kappa: 0.8808, kb_relative_information_score: 27540.4152, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.4301, scimark_benchmark: 1798.6795, usercpu_time_millis: 2761.546, usercpu_time_millis_testing: 10.092, usercpu_time_millis_training: 2751.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9521, kappa: 0.8824, kb_relative_information_score: 27593.3987, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4272, scimark_benchmark: 1846.4031, usercpu_time_millis: 2454.47, usercpu_time_millis_testing: 13.832, usercpu_time_millis_training: 2440.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29752.2955, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3535, scimark_benchmark: 1796.7453, usercpu_time_millis: 2228.458, usercpu_time_millis_testing: 6.457, usercpu_time_millis_training: 2222.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29535.5435, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3585, scimark_benchmark: 1849.3014, usercpu_time_millis: 2136.631, usercpu_time_millis_testing: 8.007, usercpu_time_millis_training: 2128.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9609, kappa: 0.9041, kb_relative_information_score: 28972.3355, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9609, predictive_accuracy: 0.961, prior_entropy: 0.863, recall: 0.961, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3848, scimark_benchmark: 1361.9489, usercpu_time_millis: 9282.219, usercpu_time_millis_testing: 20.337, usercpu_time_millis_training: 9261.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29544.3614, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3559, scimark_benchmark: 1835.2199, usercpu_time_millis: 1669.809, usercpu_time_millis_testing: 7.253, usercpu_time_millis_training: 1662.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9649, kappa: 0.9138, kb_relative_information_score: 29170.8206, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3687, scimark_benchmark: 1333.8089, usercpu_time_millis: 3230.103, usercpu_time_millis_testing: 18.327, usercpu_time_millis_training: 3211.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9602, kappa: 0.9022, kb_relative_information_score: 28277.9706, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3919, scimark_benchmark: 1800.5913, usercpu_time_millis: 564.261, usercpu_time_millis_testing: 12.251, usercpu_time_millis_training: 552.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.954, kappa: 0.8871, kb_relative_information_score: 27503.5154, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4226, scimark_benchmark: 1786.2862, usercpu_time_millis: 510.646, usercpu_time_millis_testing: 5.253, usercpu_time_millis_training: 505.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9386, kappa: 0.8482, kb_relative_information_score: 26042.8146, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4721, scimark_benchmark: 1808.2302, usercpu_time_millis: 473.142, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 469.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8568, kappa: 0.6539, kb_relative_information_score: 16944.2397, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8597, predictive_accuracy: 0.855, prior_entropy: 0.863, recall: 0.855, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.712, scimark_benchmark: 1800.0885, usercpu_time_millis: 438.041, usercpu_time_millis_testing: 3.081, usercpu_time_millis_training: 434.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9586, kappa: 0.8985, kb_relative_information_score: 28424.4562, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3975, scimark_benchmark: 1748.1474, usercpu_time_millis: 434.64, usercpu_time_millis_testing: 1.994, usercpu_time_millis_training: 432.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.917, kappa: 0.7911, kb_relative_information_score: 24239.1018, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9222, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.5188, scimark_benchmark: 1742.8032, usercpu_time_millis: 826.666, usercpu_time_millis_testing: 6.014, usercpu_time_millis_training: 820.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9564, kappa: 0.8925, kb_relative_information_score: 26738.8648, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4187, scimark_benchmark: 1801.5761, usercpu_time_millis: 99.223, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 95.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8654, kappa: 0.6689, kb_relative_information_score: 15514.8586, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.865, predictive_accuracy: 0.8658, prior_entropy: 0.863, recall: 0.8658, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6876, scimark_benchmark: 1736.3937, usercpu_time_millis: 39.406, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 38.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 29319.5789, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3716, scimark_benchmark: 1805.5053, usercpu_time_millis: 39.743, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 39.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -1.3628, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1783.4083, usercpu_time_millis: 28.046, usercpu_time_millis_testing: 2.84, usercpu_time_millis_training: 25.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8598, kappa: 0.655, kb_relative_information_score: 14469.2192, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8605, prior_entropy: 0.863, recall: 0.8605, relative_absolute_error: 0.6152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.72, scimark_benchmark: 1850.8706, usercpu_time_millis: 14.349, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 13.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 1.9205, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1710.3172, usercpu_time_millis: 15.337, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 14.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9179, kappa: 0.7935, kb_relative_information_score: 24465.5508, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.519, scimark_benchmark: 1744.6206, usercpu_time_millis: 679.831, usercpu_time_millis_testing: 7.985, usercpu_time_millis_training: 671.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8687, kappa: 0.6802, kb_relative_information_score: 17349.4549, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8679, prior_entropy: 0.863, recall: 0.8679, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6804, scimark_benchmark: 1754.2603, usercpu_time_millis: 408.893, usercpu_time_millis_testing: 1.931, usercpu_time_millis_training: 406.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 30092.6165, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3414, scimark_benchmark: 1364.1982, usercpu_time_millis: 8607.147, usercpu_time_millis_testing: 38.097, usercpu_time_millis_training: 8569.05,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.958, kappa: 0.8966, kb_relative_information_score: 27417.2498, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.4064, scimark_benchmark: 1736.8063, usercpu_time_millis: 203.388, usercpu_time_millis_testing: 6.465, usercpu_time_millis_training: 196.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9311, kappa: 0.8285, kb_relative_information_score: 24973.3747, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4975, scimark_benchmark: 1852.0126, usercpu_time_millis: 224.632, usercpu_time_millis_testing: 3.605, usercpu_time_millis_training: 221.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9213, kappa: 0.8026, kb_relative_information_score: 23017.8487, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9249, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5247, scimark_benchmark: 1718.2275, usercpu_time_millis: 180.698, usercpu_time_millis_testing: 4.94, usercpu_time_millis_training: 175.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9408, kappa: 0.8534, kb_relative_information_score: 25156.19, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4706, scimark_benchmark: 1838.168, usercpu_time_millis: 175.097, usercpu_time_millis_testing: 5.495, usercpu_time_millis_training: 169.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9141, kappa: 0.7863, kb_relative_information_score: 22446.6299, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9147, predictive_accuracy: 0.9156, prior_entropy: 0.863, recall: 0.9156, relative_absolute_error: 0.3747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5433, scimark_benchmark: 1793.5035, usercpu_time_millis: 168.099, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 166.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.899, kappa: 0.7501, kb_relative_information_score: 19562.7234, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8987, predictive_accuracy: 0.9, prior_entropy: 0.863, recall: 0.9, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5938, scimark_benchmark: 1843.2259, usercpu_time_millis: 145.755, usercpu_time_millis_testing: 5.204, usercpu_time_millis_training: 140.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9341, kappa: 0.8364, kb_relative_information_score: 24882.9608, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9347, predictive_accuracy: 0.9351, prior_entropy: 0.863, recall: 0.9351, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4913, scimark_benchmark: 1723.0408, usercpu_time_millis: 84.368, usercpu_time_millis_testing: 1.262, usercpu_time_millis_training: 83.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.103, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1787.4704, usercpu_time_millis: 58.739, usercpu_time_millis_testing: 4.754, usercpu_time_millis_training: 53.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9273, kappa: 0.8188, kb_relative_information_score: 22623.8733, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9285, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5249, scimark_benchmark: 1764.4966, usercpu_time_millis: 65.04, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 63.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9295, kappa: 0.8246, kb_relative_information_score: 21058.3331, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 0.863, recall: 0.9308, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5501, scimark_benchmark: 1759.3358, usercpu_time_millis: 50.8, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 48.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9151, kappa: 0.7864, kb_relative_information_score: 24332.4704, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9182, prior_entropy: 0.863, recall: 0.9182, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5269, scimark_benchmark: 1849.8294, usercpu_time_millis: 61.37, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 60.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.2868, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1798.4879, usercpu_time_millis: 12.148, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 10.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.485, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1845.8517, usercpu_time_millis: 29.816, usercpu_time_millis_testing: 3.186, usercpu_time_millis_training: 26.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29113.6372, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3694, scimark_benchmark: 1356.5058, usercpu_time_millis: 1463.847, usercpu_time_millis_testing: 11.928, usercpu_time_millis_training: 1451.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29436.2219, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3607, scimark_benchmark: 1368.4892, usercpu_time_millis: 5173.117, usercpu_time_millis_testing: 26.003, usercpu_time_millis_training: 5147.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9504, kappa: 0.8781, kb_relative_information_score: 27183.8345, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9503, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2222, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4353, scimark_benchmark: 1360.1217, usercpu_time_millis: 183.71, usercpu_time_millis_testing: 1.696, usercpu_time_millis_training: 182.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9689, kappa: 0.9237, kb_relative_information_score: 29817.3787, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3475, scimark_benchmark: 1365.4688, usercpu_time_millis: 3041.678, usercpu_time_millis_testing: 13.539, usercpu_time_millis_training: 3028.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9659, kappa: 0.9164, kb_relative_information_score: 29634.3859, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3611, scimark_benchmark: 1365.4843, usercpu_time_millis: 17533.275, usercpu_time_millis_testing: 25.367, usercpu_time_millis_training: 17507.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.97, kappa: 0.9264, kb_relative_information_score: 30250.3892, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3369, scimark_benchmark: 1368.5148, usercpu_time_millis: 7780.269, usercpu_time_millis_testing: 33.236, usercpu_time_millis_training: 7747.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9639, kappa: 0.9112, kb_relative_information_score: 28690.8245, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3717, scimark_benchmark: 1369.1416, usercpu_time_millis: 1724.34, usercpu_time_millis_testing: 31.922, usercpu_time_millis_training: 1692.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9586, kappa: 0.8984, kb_relative_information_score: 28317.4605, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1850.3885, usercpu_time_millis: 2698.844, usercpu_time_millis_testing: 11.89, usercpu_time_millis_training: 2686.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 28325.3075, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, scimark_benchmark: 1369.6122, usercpu_time_millis: 353.453, usercpu_time_millis_testing: 6.363, usercpu_time_millis_training: 347.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9642, kappa: 0.9122, kb_relative_information_score: 29210.5769, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.3709, scimark_benchmark: 1741.1518, usercpu_time_millis: 2137.702, usercpu_time_millis_testing: 9.066, usercpu_time_millis_training: 2128.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9565, kappa: 0.8933, kb_relative_information_score: 28036.7574, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1369.0625, usercpu_time_millis: 1289.324, usercpu_time_millis_testing: 5.736, usercpu_time_millis_training: 1283.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9555, kappa: 0.8909, kb_relative_information_score: 28134.9276, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4106, scimark_benchmark: 1780.9945, usercpu_time_millis: 1743.684, usercpu_time_millis_testing: 5.134, usercpu_time_millis_training: 1738.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29426.7633, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, scimark_benchmark: 1371.6062, usercpu_time_millis: 3583.68, usercpu_time_millis_testing: 9.396, usercpu_time_millis_training: 3574.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 27749.1698, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371, scimark_benchmark: 1838.2372, usercpu_time_millis: 8101.018, usercpu_time_millis_testing: 16.26, usercpu_time_millis_training: 8084.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.3126, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1368.9586, usercpu_time_millis: 82.813, usercpu_time_millis_testing: 8.47, usercpu_time_millis_training: 74.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9615, kappa: 0.9055, kb_relative_information_score: 29227.5302, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3816, scimark_benchmark: 1369.3021, usercpu_time_millis: 13682.31, usercpu_time_millis_testing: 19.966, usercpu_time_millis_training: 13662.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9385, kappa: 0.8476, kb_relative_information_score: 25152.3171, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9392, prior_entropy: 0.863, recall: 0.9392, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4783, scimark_benchmark: 1849.2344, usercpu_time_millis: 409.021, usercpu_time_millis_testing: 9.524, usercpu_time_millis_training: 399.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.942, kappa: 0.8564, kb_relative_information_score: 25582.4648, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9422, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4641, scimark_benchmark: 1846.3057, usercpu_time_millis: 366.991, usercpu_time_millis_testing: 9.119, usercpu_time_millis_training: 357.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29307.5045, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 1804.4426, usercpu_time_millis: 289.104, usercpu_time_millis_testing: 6.329, usercpu_time_millis_training: 282.775,

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

OpenML bootcamp

From your own software

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

OpenML APIs