OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7913, kappa: 0.579, kb_relative_information_score: 1386.3392, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7916, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7848, scimark_benchmark: 1858.1494, usercpu_time_millis: 222.056, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 220.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7546, kappa: 0.5048, kb_relative_information_score: 1066.5109, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8382, scimark_benchmark: 1848.7925, usercpu_time_millis: 256.331, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 255.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7603, kappa: 0.5163, kb_relative_information_score: 1193.0977, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7625, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.826, scimark_benchmark: 1730.6192, usercpu_time_millis: 317.012, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 316.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7869, kappa: 0.57, kb_relative_information_score: 1427.7826, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7874, predictive_accuracy: 0.7875, prior_entropy: 0.9948, recall: 0.7875, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7912, scimark_benchmark: 1752.7516, usercpu_time_millis: 2449.302, usercpu_time_millis_testing: 2.909, usercpu_time_millis_training: 2446.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7515, kappa: 0.4987, kb_relative_information_score: 1244.5208, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7548, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8349, scimark_benchmark: 1721.5874, usercpu_time_millis: 1326.268, usercpu_time_millis_testing: 1.463, usercpu_time_millis_training: 1324.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7946, kappa: 0.5859, kb_relative_information_score: 1414.9881, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7836, scimark_benchmark: 1745.6448, usercpu_time_millis: 4201.229, usercpu_time_millis_testing: 5.162, usercpu_time_millis_training: 4196.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7648, kappa: 0.5253, kb_relative_information_score: 1057.1956, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7655, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8304, scimark_benchmark: 1806.3111, usercpu_time_millis: 386.009, usercpu_time_millis_testing: 2.321, usercpu_time_millis_training: 383.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8065, kappa: 0.61, kb_relative_information_score: 1728.8607, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.754, scimark_benchmark: 1736.6871, usercpu_time_millis: 437.762, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 436.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.797, kappa: 0.5905, kb_relative_information_score: 1550.1051, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7711, scimark_benchmark: 1731.3956, usercpu_time_millis: 522.021, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 520.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1717.0926, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471, scimark_benchmark: 1829.7933, usercpu_time_millis: 2850.85, usercpu_time_millis_testing: 3.924, usercpu_time_millis_training: 2846.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.777, kappa: 0.5499, kb_relative_information_score: 1343.5893, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8039, scimark_benchmark: 1648.0617, usercpu_time_millis: 2690.632, usercpu_time_millis_testing: 2.53, usercpu_time_millis_training: 2688.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7798, kappa: 0.5557, kb_relative_information_score: 1362.7711, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8011, scimark_benchmark: 1478.2485, usercpu_time_millis: 1932.946, usercpu_time_millis_testing: 3.903, usercpu_time_millis_training: 1929.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.809, kappa: 0.6147, kb_relative_information_score: 1635.7009, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537, scimark_benchmark: 1805.8094, usercpu_time_millis: 2022.174, usercpu_time_millis_testing: 2.553, usercpu_time_millis_training: 2019.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8112, kappa: 0.6194, kb_relative_information_score: 1704.9114, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.746, scimark_benchmark: 1810.7195, usercpu_time_millis: 2117.493, usercpu_time_millis_testing: 4.566, usercpu_time_millis_training: 2112.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1499.051, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7715, scimark_benchmark: 1762.2687, usercpu_time_millis: 2737.448, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 2733.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7814, kappa: 0.559, kb_relative_information_score: 1396.7905, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7817, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7962, scimark_benchmark: 2075.9423, usercpu_time_millis: 1757.162, usercpu_time_millis_testing: 2.456, usercpu_time_millis_training: 1754.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8043, kappa: 0.6052, kb_relative_information_score: 1571.0858, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8048, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7605, scimark_benchmark: 1819.0423, usercpu_time_millis: 2165.153, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 2161.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7973, kappa: 0.5912, kb_relative_information_score: 1516.7082, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7974, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7706, scimark_benchmark: 1835.7227, usercpu_time_millis: 4488.412, usercpu_time_millis_testing: 4.694, usercpu_time_millis_training: 4483.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8006, kappa: 0.5978, kb_relative_information_score: 1576.823, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1814.2836, usercpu_time_millis: 4497.244, usercpu_time_millis_testing: 2.656, usercpu_time_millis_training: 4494.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8049, kappa: 0.6064, kb_relative_information_score: 1496.0653, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8053, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7677, scimark_benchmark: 1782.6195, usercpu_time_millis: 1630.026, usercpu_time_millis_testing: 4.153, usercpu_time_millis_training: 1625.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8115, kappa: 0.6198, kb_relative_information_score: 1666.9819, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7477, scimark_benchmark: 779.2687, usercpu_time_millis: 2584.871, usercpu_time_millis_testing: 7.474, usercpu_time_millis_training: 2577.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8045, kappa: 0.6057, kb_relative_information_score: 1490.7163, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8046, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7683, scimark_benchmark: 784.776, usercpu_time_millis: 2466.536, usercpu_time_millis_testing: 6.893, usercpu_time_millis_training: 2459.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1309.2522, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7917, scimark_benchmark: 1835.7575, usercpu_time_millis: 374.274, usercpu_time_millis_testing: 3.748, usercpu_time_millis_training: 370.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7668, kappa: 0.5295, kb_relative_information_score: 1256.3413, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.818, scimark_benchmark: 1827.25, usercpu_time_millis: 739.974, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 738.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1614.7952, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7534, scimark_benchmark: 1759.5639, usercpu_time_millis: 936.79, usercpu_time_millis_testing: 1.856, usercpu_time_millis_training: 934.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8022, kappa: 0.6011, kb_relative_information_score: 1459.1916, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7723, scimark_benchmark: 1831.5824, usercpu_time_millis: 342.918, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 340.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7711, kappa: 0.5382, kb_relative_information_score: 1230.1229, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7715, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8155, scimark_benchmark: 1810.3093, usercpu_time_millis: 520.741, usercpu_time_millis_testing: 2.747, usercpu_time_millis_training: 517.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7951, kappa: 0.5868, kb_relative_information_score: 1346.7047, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7885, scimark_benchmark: 1835.8892, usercpu_time_millis: 1323.408, usercpu_time_millis_testing: 4.078, usercpu_time_millis_training: 1319.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8036, kappa: 0.6037, kb_relative_information_score: 1516.155, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7656, scimark_benchmark: 1822.1004, usercpu_time_millis: 1663.566, usercpu_time_millis_testing: 4.503, usercpu_time_millis_training: 1659.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8084, kappa: 0.6136, kb_relative_information_score: 1704.4836, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7505, scimark_benchmark: 1815.2515, usercpu_time_millis: 1725.173, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 1723.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7894, kappa: 0.5751, kb_relative_information_score: 1462.885, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7835, scimark_benchmark: 782.9474, usercpu_time_millis: 3400.75, usercpu_time_millis_testing: 5.505, usercpu_time_millis_training: 3395.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0424, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1747.2705, usercpu_time_millis: 9.759, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 8.291,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7574, kappa: 0.5107, kb_relative_information_score: 1349.9182, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.811, scimark_benchmark: 1734.693, usercpu_time_millis: 2291.871, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 2290.016,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1672.3411, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8056, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1819.5285, usercpu_time_millis: 10740.778, usercpu_time_millis_testing: 3.705, usercpu_time_millis_training: 10737.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0298, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1810.5539, usercpu_time_millis: 9.065, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 7.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0182, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1802.4236, usercpu_time_millis: 8.965, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 7.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1645, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.776, usercpu_time_millis: 6.964, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 5.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7475, kappa: 0.4906, kb_relative_information_score: 864.1397, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 1805.1562, usercpu_time_millis: 27.259, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 26.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.097, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.6923, usercpu_time_millis: 7.257, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 6.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.7445, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1798.2896, usercpu_time_millis: 5.259, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 4.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1295, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1833.1288, usercpu_time_millis: 7.137, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 6.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7598, kappa: 0.5156, kb_relative_information_score: 1357.0565, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8249, scimark_benchmark: 1915.4627, usercpu_time_millis: 14.262, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 13.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.134, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8782, scimark_benchmark: 1790.4748, usercpu_time_millis: 33.793, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 33.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7141, kappa: 0.4231, kb_relative_information_score: 593.4704, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7146, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8989, scimark_benchmark: 788.7496, usercpu_time_millis: 31.185, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 29.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7538, kappa: 0.5033, kb_relative_information_score: 900.9451, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8546, scimark_benchmark: 1825.2596, usercpu_time_millis: 98.581, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 97.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 920.3493, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796, scimark_benchmark: 1853.454, usercpu_time_millis: 177.628, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 176.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7368, kappa: 0.4705, kb_relative_information_score: 744.3559, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8818, scimark_benchmark: 1828.686, usercpu_time_millis: 140.923, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 139.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8093, kappa: 0.6155, kb_relative_information_score: 1713.8461, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7478, scimark_benchmark: 1714.7312, usercpu_time_millis: 4107.608, usercpu_time_millis_testing: 4.552, usercpu_time_millis_training: 4103.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8027, kappa: 0.6021, kb_relative_information_score: 1743.5277, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1713.3283, usercpu_time_millis: 8514.79, usercpu_time_millis_testing: 3.388, usercpu_time_millis_training: 8511.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7798, kappa: 0.5559, kb_relative_information_score: 1414.1851, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1826.2443, usercpu_time_millis: 2084.902, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 2082.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8012, kappa: 0.599, kb_relative_information_score: 1618.1111, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7602, scimark_benchmark: 1760.2087, usercpu_time_millis: 6358.663, usercpu_time_millis_testing: 3.542, usercpu_time_millis_training: 6355.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7944, kappa: 0.5854, kb_relative_information_score: 1787.4626, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7647, scimark_benchmark: 1753.45, usercpu_time_millis: 3185.145, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 3183.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8019, kappa: 0.6005, kb_relative_information_score: 1756.7801, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.802, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7558, scimark_benchmark: 759.7414, usercpu_time_millis: 15529.45, usercpu_time_millis_testing: 7.337, usercpu_time_millis_training: 15522.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7934, kappa: 0.5832, kb_relative_information_score: 1476.9014, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7938, predictive_accuracy: 0.7939, prior_entropy: 0.9948, recall: 0.7939, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7808, scimark_benchmark: 1797.3125, usercpu_time_millis: 634.162, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 632.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1570.6988, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7568, scimark_benchmark: 1809.6182, usercpu_time_millis: 862.53, usercpu_time_millis_testing: 2.903, usercpu_time_millis_training: 859.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8034, kappa: 0.6033, kb_relative_information_score: 1513.0608, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7643, scimark_benchmark: 780.0496, usercpu_time_millis: 903.137, usercpu_time_millis_testing: 4.402, usercpu_time_millis_training: 898.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7974, kappa: 0.5912, kb_relative_information_score: 1534.83, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7978, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7704, scimark_benchmark: 1832.5153, usercpu_time_millis: 1241.623, usercpu_time_millis_testing: 1.835, usercpu_time_millis_training: 1239.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8058, kappa: 0.6084, kb_relative_information_score: 1609.838, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 1825.9508, usercpu_time_millis: 1468.614, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 1467.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1261.0233, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1803.1904, usercpu_time_millis: 726.073, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 723.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7999, kappa: 0.5963, kb_relative_information_score: 1612.3308, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7651, scimark_benchmark: 1844.2935, usercpu_time_millis: 6582.251, usercpu_time_millis_testing: 3.685, usercpu_time_millis_training: 6578.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.783, kappa: 0.5621, kb_relative_information_score: 1341.9914, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7948, scimark_benchmark: 1734.2336, usercpu_time_millis: 785.073, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 781.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7861, kappa: 0.5684, kb_relative_information_score: 1342.9414, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7866, predictive_accuracy: 0.7867, prior_entropy: 0.9948, recall: 0.7867, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.7951, scimark_benchmark: 1812.88, usercpu_time_millis: 713.721, usercpu_time_millis_testing: 2.724, usercpu_time_millis_training: 710.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7853, kappa: 0.5668, kb_relative_information_score: 1272.275, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7858, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8001, scimark_benchmark: 1801.1155, usercpu_time_millis: 826.154, usercpu_time_millis_testing: 3.053, usercpu_time_millis_training: 823.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1642.4567, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7564, scimark_benchmark: 1825.3439, usercpu_time_millis: 9838.663, usercpu_time_millis_testing: 5.071, usercpu_time_millis_training: 9833.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0882, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 7.516, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 6.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7518, kappa: 0.4992, kb_relative_information_score: 850.7655, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8621, scimark_benchmark: 1848.916, usercpu_time_millis: 15.979, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 15.32,

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