Task
Supervised Classification on kc3

Supervised Classification on kc3

Task 3915 Supervised Classification kc3 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.8764, kappa: 0.1785, kb_relative_information_score: -68.3748, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8664, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2939, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.8571, kappa: -0.0162, kb_relative_information_score: -177.1385, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8203, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8787, kappa: 0.1589, kb_relative_information_score: -44.2085, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8762, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, f_measure: 0.8375, kappa: 0.1072, kb_relative_information_score: -160.7727, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8485, predictive_accuracy: 0.8275, prior_entropy: 0.4551, recall: 0.8275, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.4153, root_relative_squared_error: 1.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.8816, kappa: 0.1717, kb_relative_information_score: -799.2102, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8883, predictive_accuracy: 0.9105, prior_entropy: 0.4551, recall: 0.9105, relative_absolute_error: 1.5626, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3471, root_relative_squared_error: 1.1902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.8937, kappa: 0.3007, kb_relative_information_score: 95.2403, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8889, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.294, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.8661, kappa: 0.1101, kb_relative_information_score: -104.0238, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8524, predictive_accuracy: 0.8865, prior_entropy: 0.4551, recall: 0.8865, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2954, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.8787, kappa: 0.1589, kb_relative_information_score: -55.3138, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8762, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.9309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -80.7591, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.0321, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.8785, kappa: 0.2008, kb_relative_information_score: 21.611, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8693, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.8626, kappa: 0.1448, kb_relative_information_score: -178.3954, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8551, predictive_accuracy: 0.8712, prior_entropy: 0.4551, recall: 0.8712, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8628, kappa: 0.1154, kb_relative_information_score: 26.3503, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8512, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3318, root_relative_squared_error: 1.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.8383, kappa: 0.1821, kb_relative_information_score: -561.3929, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8636, predictive_accuracy: 0.8188, prior_entropy: 0.4551, recall: 0.8188, relative_absolute_error: 1.4103, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.2804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.8601, kappa: 0.1067, kb_relative_information_score: -38.6482, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8492, predictive_accuracy: 0.8734, prior_entropy: 0.4551, recall: 0.8734, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.8796, kappa: 0.243, kb_relative_information_score: -7.2305, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8728, predictive_accuracy: 0.8886, prior_entropy: 0.4551, recall: 0.8886, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7786, f_measure: 0.8739, kappa: 0.2893, kb_relative_information_score: -27.9703, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8795, predictive_accuracy: 0.869, prior_entropy: 0.4551, recall: 0.869, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3421, root_relative_squared_error: 1.1727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -92.749, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.8656, kappa: 0.0364, kb_relative_information_score: 115.4872, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8696, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -45.9168, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.8604, kappa: -0.0043, kb_relative_information_score: -71.6791, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8209, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.8744, kappa: 0.1411, kb_relative_information_score: -119.1918, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2924, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8744, kappa: 0.1411, kb_relative_information_score: -70.8298, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8648, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: 2.2627, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.8859, kappa: 0.2898, kb_relative_information_score: 8.0239, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8804, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -104.3666, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3924, root_relative_squared_error: 1.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -107.6801, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7677, kappa: 0.2216, kb_relative_information_score: -637.5035, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8989, predictive_accuracy: 0.7074, prior_entropy: 0.4551, recall: 0.7074, relative_absolute_error: 1.6874, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.7249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: -95.7213, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7809, kappa: 0.2393, kb_relative_information_score: -557.9696, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9007, predictive_accuracy: 0.7249, prior_entropy: 0.4551, recall: 0.7249, relative_absolute_error: 1.6304, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.8859, kappa: 0.2898, kb_relative_information_score: 8.0239, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8804, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.8567, kappa: 0.2484, kb_relative_information_score: -139.5591, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8745, predictive_accuracy: 0.8428, prior_entropy: 0.4551, recall: 0.8428, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.3248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.8615, kb_relative_information_score: -194.4773, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.285, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.8478, kappa: -0.021, kb_relative_information_score: -130.8334, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8253, predictive_accuracy: 0.8734, prior_entropy: 0.4551, recall: 0.8734, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.308, root_relative_squared_error: 1.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.8403, kappa: 0.0998, kb_relative_information_score: -143.0559, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.847, predictive_accuracy: 0.8341, prior_entropy: 0.4551, recall: 0.8341, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.408, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.8859, kappa: 0.2788, kb_relative_information_score: 37.1515, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8795, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3088, root_relative_squared_error: 1.0586, scimark_benchmark: 1586.7278, usercpu_time_millis: 3156.25, usercpu_time_millis_training: 3156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5794, kappa: 0.0368, kb_relative_information_score: -1386.7988, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8513, predictive_accuracy: 0.4825, prior_entropy: 0.4551, recall: 0.4825, relative_absolute_error: 3.0159, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.7194, root_relative_squared_error: 2.4663, scimark_benchmark: 1922.3298, usercpu_time_millis: 27375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 27343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.7492, kappa: 0.0682, kb_relative_information_score: -657.3909, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8482, predictive_accuracy: 0.6878, prior_entropy: 0.4551, recall: 0.6878, relative_absolute_error: 1.8197, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.9157, scimark_benchmark: 1922.3298, usercpu_time_millis: 17593.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 17562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1922.3298, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.8403, kappa: -0.0611, kb_relative_information_score: -28.8585, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8174, predictive_accuracy: 0.8646, prior_entropy: 0.4551, recall: 0.8646, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3679, root_relative_squared_error: 1.2614, scimark_benchmark: 1280.301, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.8962, kappa: 0.3703, kb_relative_information_score: 19.0051, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8933, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2993, root_relative_squared_error: 1.026, scimark_benchmark: 1377.9315, usercpu_time_millis: 3510, usercpu_time_millis_training: 3510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.8403, kappa: -0.0611, kb_relative_information_score: -28.8585, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8174, predictive_accuracy: 0.8646, prior_entropy: 0.4551, recall: 0.8646, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3679, root_relative_squared_error: 1.2614, scimark_benchmark: 1619.4968, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1662.4958, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5794, kappa: 0.0368, kb_relative_information_score: -1386.7988, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8513, predictive_accuracy: 0.4825, prior_entropy: 0.4551, recall: 0.4825, relative_absolute_error: 3.0159, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.7194, root_relative_squared_error: 2.4663, scimark_benchmark: 1707.6415, usercpu_time_millis: 28530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 28500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.7492, kappa: 0.0682, kb_relative_information_score: -657.3909, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8482, predictive_accuracy: 0.6878, prior_entropy: 0.4551, recall: 0.6878, relative_absolute_error: 1.8197, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.9157, scimark_benchmark: 1381.8713, usercpu_time_millis: 20680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.8955, kappa: 0.3294, kb_relative_information_score: 11.2527, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8901, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.287, root_relative_squared_error: 0.984, scimark_benchmark: 1665.974, usercpu_time_millis: 281.25, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.8542, kappa: 0.1865, kb_relative_information_score: -162.2361, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.862, predictive_accuracy: 0.8472, prior_entropy: 0.4551, recall: 0.8472, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3592, root_relative_squared_error: 1.2313, scimark_benchmark: 1377.3476, usercpu_time_millis: 4080, usercpu_time_millis_training: 4080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.8703, kappa: 0.1089, kb_relative_information_score: 87.5364, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8582, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.0983, usercpu_time_millis: 0.44, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.8561, kappa: 0.0024, kb_relative_information_score: 56.4977, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8306, predictive_accuracy: 0.8886, prior_entropy: 0.4551, recall: 0.8886, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3337, root_relative_squared_error: 1.1441, usercpu_time_millis: 31.59, usercpu_time_millis_testing: 8.29, usercpu_time_millis_training: 23.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.8877, kappa: 0.2389, kb_relative_information_score: 126.3347, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8846, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0382, usercpu_time_millis: 147.77, usercpu_time_millis_testing: 65.78, usercpu_time_millis_training: 81.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.8549, kappa: -0.0235, kb_relative_information_score: 72.0171, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8199, predictive_accuracy: 0.893, prior_entropy: 0.4551, recall: 0.893, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.1214, usercpu_time_millis: 69.95, usercpu_time_millis_testing: 13.35, usercpu_time_millis_training: 56.6,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348, scimark_benchmark: 1370.3887, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348, scimark_benchmark: 1327.9322, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 126.3347, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0382, scimark_benchmark: 1255.5332, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.875, kappa: 0.2501, kb_relative_information_score: -119.4164, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8725, predictive_accuracy: 0.8777, prior_entropy: 0.4551, recall: 0.8777, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3061, root_relative_squared_error: 1.0496, scimark_benchmark: 1273.8466, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -19.5534, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9799, scimark_benchmark: 1327.7931, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 31.4483, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.1744, scimark_benchmark: 1353.7928, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.8755, kappa: 0.1606, kb_relative_information_score: -53.5316, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8655, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9962, scimark_benchmark: 1251.1137, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5946, f_measure: 0.8836, kappa: 0.2341, kb_relative_information_score: 28.4851, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8759, predictive_accuracy: 0.8996, prior_entropy: 0.4551, recall: 0.8996, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2964, root_relative_squared_error: 1.0161, scimark_benchmark: 925.477, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.8693, kappa: 0.0702, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8712, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.8828, kappa: 0.1913, kb_relative_information_score: -42.038, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2837, root_relative_squared_error: 0.9725, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.8661, kappa: 0.0758, kb_relative_information_score: -97.0352, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8506, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8258, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.9587, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.8755, kappa: 0.1606, kb_relative_information_score: -55.4654, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8655, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9967, scimark_benchmark: 1074.7887, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.8843, kappa: 0.2837, kb_relative_information_score: 0.2643, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8791, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3124, root_relative_squared_error: 1.0711, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8552, kappa: 0.2444, kb_relative_information_score: -111.6299, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8739, predictive_accuracy: 0.8406, prior_entropy: 0.4551, recall: 0.8406, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.348, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 126.3347, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0382, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.8693, kappa: 0.0702, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8712, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.8751, kappa: 0.2387, kb_relative_information_score: -121.3706, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8799, prior_entropy: 0.4551, recall: 0.8799, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.059, scimark_benchmark: 1925.3565, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -19.5534, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9799, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.875, kappa: 0.2264, kb_relative_information_score: 31.4483, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8692, predictive_accuracy: 0.8821, prior_entropy: 0.4551, recall: 0.8821, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.1744, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.8889, kappa: 0.2799, kb_relative_information_score: 30.5326, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8823, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9852, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.8843, kappa: 0.198, kb_relative_information_score: -54.0727, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8876, predictive_accuracy: 0.9105, prior_entropy: 0.4551, recall: 0.9105, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.9822, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.8635, kappa: 0.0664, kb_relative_information_score: -111.4537, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8463, predictive_accuracy: 0.8908, prior_entropy: 0.4551, recall: 0.8908, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.9613, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.8615, kb_relative_information_score: -7.2965, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2917, root_relative_squared_error: 1.0001, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.8812, kappa: 0.2608, kb_relative_information_score: -7.4954, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8754, predictive_accuracy: 0.8886, prior_entropy: 0.4551, recall: 0.8886, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3159, root_relative_squared_error: 1.083, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -19.5534, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9799, scimark_benchmark: 1327.5254, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.8785, kappa: 0.2008, kb_relative_information_score: 21.611, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8693, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0006, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.8751, kappa: 0.2387, kb_relative_information_score: -121.5656, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8708, predictive_accuracy: 0.8799, prior_entropy: 0.4551, recall: 0.8799, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3055, root_relative_squared_error: 1.0474, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.8755, kappa: 0.1606, kb_relative_information_score: -55.4654, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8655, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9967, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.8755, kappa: 0.1606, kb_relative_information_score: -55.4654, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8655, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.9967, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.8861, kappa: 0.2321, kb_relative_information_score: -50.7283, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8813, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.9605, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.8859, kappa: 0.2788, kb_relative_information_score: 14.5217, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8795, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9866, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.8755, kappa: 0.1606, kb_relative_information_score: -56.1951, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8655, predictive_accuracy: 0.8974, prior_entropy: 0.4551, recall: 0.8974, relative_absolute_error: 0.8902, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.9657, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, f_measure: 0.8758, kappa: 0.1469, kb_relative_information_score: -36.2259, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.868, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.9654, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.8667, kappa: 0.0414, kb_relative_information_score: 126.3347, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.9167, predictive_accuracy: 0.9083, prior_entropy: 0.4551, recall: 0.9083, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.0382, scimark_benchmark: 1133.301, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.8887, kappa: 0.2674, kb_relative_information_score: -19.5534, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8824, predictive_accuracy: 0.9039, prior_entropy: 0.4551, recall: 0.9039, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.9799, scimark_benchmark: 792.0072, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5716, f_measure: 0.8785, kappa: 0.2008, kb_relative_information_score: 21.611, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8693, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0006, scimark_benchmark: 913.6883, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.8716, kappa: 0.1302, kb_relative_information_score: -101.5586, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8597, predictive_accuracy: 0.8952, prior_entropy: 0.4551, recall: 0.8952, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9895, scimark_benchmark: 1447.2612, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.8632, kappa: 0.027, kb_relative_information_score: -107.4272, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.8458, predictive_accuracy: 0.9017, prior_entropy: 0.4551, recall: 0.9017, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.9597, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,

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