OpenML

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(55) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4169, kappa: 0.1332, kb_relative_information_score: 147.3374, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.4182, predictive_accuracy: 0.4271, prior_entropy: 1.5824, recall: 0.4271, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.618, root_relative_squared_error: 1.3121,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(62) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.5227, kappa: 0.2857, kb_relative_information_score: 242.5335, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5215, predictive_accuracy: 0.5243, prior_entropy: 1.5824, recall: 0.5243, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5632, root_relative_squared_error: 1.1957,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.3946, kappa: 0.0938, kb_relative_information_score: 119.2267, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.395, predictive_accuracy: 0.3957, prior_entropy: 1.5824, recall: 0.3957, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.3476,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(53) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.4167, kappa: 0.1305, kb_relative_information_score: 144.4209, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.414, predictive_accuracy: 0.4229, prior_entropy: 1.5824, recall: 0.4229, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6203, root_relative_squared_error: 1.317,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(45) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.5244, kappa: 0.2819, kb_relative_information_score: 239.8056, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5282, predictive_accuracy: 0.5214, prior_entropy: 1.5824, recall: 0.5214, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1993,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(56) on task Supervised Classification on data set autoUniv-au7-1100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.3532, kappa: 0.1829, kb_relative_information_score: 287.3039, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.371, predictive_accuracy: 0.3691, prior_entropy: 2.281, recall: 0.3691, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.2651,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(63) on task Supervised Classification on data set autoUniv-au7-1100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.3437, kappa: 0.1877, kb_relative_information_score: 288.9748, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3488, predictive_accuracy: 0.3682, prior_entropy: 2.281, recall: 0.3682, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.266,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set autoUniv-au7-1100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.345, kappa: 0.1802, kb_relative_information_score: 284.219, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.37, predictive_accuracy: 0.3682, prior_entropy: 2.281, recall: 0.3682, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.266,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(54) on task Supervised Classification on data set autoUniv-au7-1100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.3391, kappa: 0.1631, kb_relative_information_score: 269.9851, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.3524, predictive_accuracy: 0.3536, prior_entropy: 2.281, recall: 0.3536, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.2805,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(46) on task Supervised Classification on data set autoUniv-au7-1100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.4085, kappa: 0.2568, kb_relative_information_score: 355.9864, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.4147, predictive_accuracy: 0.4218, prior_entropy: 2.281, recall: 0.4218, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.2111,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(57) on task Supervised Classification on data set autoUniv-au4-2500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5338, kappa: 0.1775, kb_relative_information_score: 547.4354, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.3794, number_of_instances: 2500, precision: 0.5141, predictive_accuracy: 0.5572, prior_entropy: 1.3187, recall: 0.5572, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4355, root_mean_squared_error: 0.5433, root_relative_squared_error: 1.2475,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(64) on task Supervised Classification on data set autoUniv-au4-2500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.5882, kappa: 0.2822, kb_relative_information_score: 760.9864, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3794, number_of_instances: 2500, precision: 0.5653, predictive_accuracy: 0.6132, prior_entropy: 1.3187, recall: 0.6132, relative_absolute_error: 0.6796, root_mean_prior_squared_error: 0.4355, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.166,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(25) on task Supervised Classification on data set autoUniv-au4-2500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.6199, kappa: 0.3434, kb_relative_information_score: 887.3239, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.3794, number_of_instances: 2500, precision: 0.5966, predictive_accuracy: 0.6464, prior_entropy: 1.3187, recall: 0.6464, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4355, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.1148,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set autoUniv-au4-2500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.4709, kappa: 0.056, kb_relative_information_score: 297.5579, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.3794, number_of_instances: 2500, precision: 0.4532, predictive_accuracy: 0.4916, prior_entropy: 1.3187, recall: 0.4916, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.4355, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.3367,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(55) on task Supervised Classification on data set autoUniv-au4-2500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.5392, kappa: 0.1854, kb_relative_information_score: 548.2353, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.3794, number_of_instances: 2500, precision: 0.5285, predictive_accuracy: 0.5556, prior_entropy: 1.3187, recall: 0.5556, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4355, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.2498,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(47) on task Supervised Classification on data set autoUniv-au4-2500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6096, kappa: 0.3244, kb_relative_information_score: 846.5104, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.3794, number_of_instances: 2500, precision: 0.586, predictive_accuracy: 0.6356, prior_entropy: 1.3187, recall: 0.6356, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4355, root_mean_squared_error: 0.4929, root_relative_squared_error: 1.1317,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(58) on task Supervised Classification on data set autoUniv-au1-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.7488, kappa: 0.3046, kb_relative_information_score: 365.2741, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.78, prior_entropy: 0.826, recall: 0.78, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0707,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(65) on task Supervised Classification on data set autoUniv-au1-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.782, kappa: 0.4001, kb_relative_information_score: 431.5397, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7912, predictive_accuracy: 0.803, prior_entropy: 0.826, recall: 0.803, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4438, root_relative_squared_error: 1.0132,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(26) on task Supervised Classification on data set autoUniv-au1-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.7689, kappa: 0.361, kb_relative_information_score: 411.3719, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7844, predictive_accuracy: 0.796, prior_entropy: 0.826, recall: 0.796, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.031,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set autoUniv-au1-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.697, kappa: 0.1585, kb_relative_information_score: 278.8407, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7123, predictive_accuracy: 0.75, prior_entropy: 0.826, recall: 0.75, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1413,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(56) on task Supervised Classification on data set autoUniv-au1-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.6704, kappa: 0.0857, kb_relative_information_score: 235.624, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.6763, predictive_accuracy: 0.735, prior_entropy: 0.826, recall: 0.735, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.5148, root_relative_squared_error: 1.1751,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(48) on task Supervised Classification on data set autoUniv-au1-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.775, kappa: 0.3815, kb_relative_information_score: 411.3719, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3841, number_of_instances: 1000, precision: 0.7817, predictive_accuracy: 0.796, prior_entropy: 0.826, recall: 0.796, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.4381, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.031,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(59) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9878, kappa: 0.8803, kb_relative_information_score: 3993.7247, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9878, predictive_accuracy: 0.9878, prior_entropy: 0.3037, recall: 0.9878, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4888,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(66) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9818, kappa: 0.818, kb_relative_information_score: 3612.4509, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9816, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5902,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(27) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9844, kappa: 0.844, kb_relative_information_score: 3781.9059, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5474,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.9674, kappa: 0.6447, kb_relative_information_score: 2864.0244, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.7503,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(57) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(49) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.9842, kappa: 0.8421, kb_relative_information_score: 3767.7847, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.5511,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(60) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9718, kappa: 0.9396, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(67) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9367, kappa: 0.8644, kb_relative_information_score: 489.6142, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9366, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5202,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(28) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 540.2054, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9772, predictive_accuracy: 0.9772, prior_entropy: 0.953, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9681, kappa: 0.9314, kb_relative_information_score: 529.2073, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9692, predictive_accuracy: 0.9684, prior_entropy: 0.953, recall: 0.9684, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3679,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(58) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9717, kappa: 0.939, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9728, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(50) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9631, kappa: 0.9211, kb_relative_information_score: 522.6084, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.953, recall: 0.9631, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.3973,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(61) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8941, kappa: 0.743, kb_relative_information_score: 3927.1862, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8938, predictive_accuracy: 0.8949, prior_entropy: 0.8733, recall: 0.8949, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.712,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(68) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.8716, kappa: 0.6886, kb_relative_information_score: 3610.1118, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8711, predictive_accuracy: 0.8723, prior_entropy: 0.8733, recall: 0.8723, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7847,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(29) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8909, kappa: 0.7363, kb_relative_information_score: 3875.2068, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8907, predictive_accuracy: 0.8912, prior_entropy: 0.8733, recall: 0.8912, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.7244,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.9057, kappa: 0.7706, kb_relative_information_score: 4090.9213, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9055, predictive_accuracy: 0.9066, prior_entropy: 0.8733, recall: 0.9066, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6713,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(59) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.7331, kappa: 0.3362, kb_relative_information_score: 1829.8175, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7304, predictive_accuracy: 0.7456, prior_entropy: 0.8733, recall: 0.7456, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.1077,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(51) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.9052, kappa: 0.7708, kb_relative_information_score: 4075.3274, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.905, predictive_accuracy: 0.9054, prior_entropy: 0.8733, recall: 0.9054, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6753,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(62) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8473, kappa: 0.846, kb_relative_information_score: 1355.4675, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8506, predictive_accuracy: 0.8475, prior_entropy: 6.6439, recall: 0.8475, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.5551,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(69) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.4634, kappa: 0.459, kb_relative_information_score: 741.1297, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4738, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1035, root_relative_squared_error: 1.0402,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7956, kappa: 0.7955, kb_relative_information_score: 1275.2929, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8081, predictive_accuracy: 0.7975, prior_entropy: 6.6439, recall: 0.7975, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.6396,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(60) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8169, kappa: 0.8176, kb_relative_information_score: 1310.3693, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8212, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.6041,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(52) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.871, kappa: 0.8731, kb_relative_information_score: 1398.5613, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8786, predictive_accuracy: 0.8744, prior_entropy: 6.6439, recall: 0.8744, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.5038,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(63) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7203, kappa: 0.726, kb_relative_information_score: 1165.0528, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.734, predictive_accuracy: 0.7288, prior_entropy: 6.6439, recall: 0.7288, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7403,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(70) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.4438, kappa: 0.4388, kb_relative_information_score: 709.0598, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4541, predictive_accuracy: 0.4444, prior_entropy: 6.6439, recall: 0.4444, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1054, root_relative_squared_error: 1.0595,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.6301, kappa: 0.6357, kb_relative_information_score: 1021.7408, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6564, predictive_accuracy: 0.6394, prior_entropy: 6.6439, recall: 0.6394, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8535,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(61) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.4947, kappa: 0.5284, kb_relative_information_score: 851.3697, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5146, predictive_accuracy: 0.5331, prior_entropy: 6.6439, recall: 0.5331, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.9712,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(53) on task Supervised Classification on data set one-hundred-plants-shape

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.6382, kappa: 0.6439, kb_relative_information_score: 1034.7691, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6486, predictive_accuracy: 0.6475, prior_entropy: 6.6439, recall: 0.6475, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.084, root_relative_squared_error: 0.8439,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(64) on task Supervised Classification on data set one-hundred-plants-texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8671, kappa: 0.8661, kb_relative_information_score: 1386.5495, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8723, predictive_accuracy: 0.8674, prior_entropy: 6.6438, recall: 0.8674, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.5175,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(71) on task Supervised Classification on data set one-hundred-plants-texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.5113, kappa: 0.5092, kb_relative_information_score: 820.2424, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.5187, predictive_accuracy: 0.5141, prior_entropy: 6.6438, recall: 0.5141, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9908,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set one-hundred-plants-texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8105, kappa: 0.8111, kb_relative_information_score: 1299.3573, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8195, predictive_accuracy: 0.813, prior_entropy: 6.6438, recall: 0.813, relative_absolute_error: 0.1889, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.6146,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(62) on task Supervised Classification on data set one-hundred-plants-texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8128, kappa: 0.8181, kb_relative_information_score: 1310.3669, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8201, predictive_accuracy: 0.8199, prior_entropy: 6.6438, recall: 0.8199, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.06, root_relative_squared_error: 0.6032,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(54) on task Supervised Classification on data set one-hundred-plants-texture

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8399, kappa: 0.8446, kb_relative_information_score: 1352.4404, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8484, predictive_accuracy: 0.8462, prior_entropy: 6.6438, recall: 0.8462, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.5575,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(65) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8775, kappa: 0.7237, kb_relative_information_score: 754.9258, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8775, predictive_accuracy: 0.8787, prior_entropy: 0.9226, recall: 0.8787, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7367,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(72) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.8196, kappa: 0.594, kb_relative_information_score: 612.0845, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8189, predictive_accuracy: 0.8209, prior_entropy: 0.9226, recall: 0.8209, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8951,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(30) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8699, kappa: 0.7069, kb_relative_information_score: 736.1925, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7593,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.866, kappa: 0.7019, kb_relative_information_score: 722.1425, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.867, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7759,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(63) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8509, kappa: 0.6642, kb_relative_information_score: 689.3593, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8505, predictive_accuracy: 0.8521, prior_entropy: 0.9226, recall: 0.8521, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8133,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(55) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8581, kappa: 0.6784, kb_relative_information_score: 710.4342, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8592, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7894,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(66) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9294, kappa: 0.8933, kb_relative_information_score: 4914.4447, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 1.7151, recall: 0.9294, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4616,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(73) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5391.0842, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.1543,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8877, kappa: 0.8303, kb_relative_information_score: 4602.2268, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8878, predictive_accuracy: 0.8876, prior_entropy: 1.7151, recall: 0.8876, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5824,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(64) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6564, kappa: 0.4817, kb_relative_information_score: 2764.128, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6731, predictive_accuracy: 0.6701, prior_entropy: 1.7151, recall: 0.6701, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.998,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(56) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5427.4669, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0998,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(67) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1938.3996, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(74) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(31) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9871, kappa: 0.9716, kb_relative_information_score: 1883.1953, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.9313, recall: 0.9871, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.2385,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(65) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(57) on task Supervised Classification on data set steel-plates-fault

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(68) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(75) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(66) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(58) on task Supervised Classification on data set tamilnadu-electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(69) on task Supervised Classification on data set hill-valley

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6903, kappa: 0.3845, kb_relative_information_score: 466, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6971, predictive_accuracy: 0.6922, prior_entropy: 1, recall: 0.6922, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.1095,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(76) on task Supervised Classification on data set hill-valley

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5494, kappa: 0.1073, kb_relative_information_score: 130, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5557, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6681, root_relative_squared_error: 1.3362,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(32) on task Supervised Classification on data set hill-valley

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6336, kappa: 0.2673, kb_relative_information_score: 324, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6337, predictive_accuracy: 0.6337, prior_entropy: 1, recall: 0.6337, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2105,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set hill-valley

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5831, kappa: 0.1667, kb_relative_information_score: 202, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6455, root_relative_squared_error: 1.291,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(67) on task Supervised Classification on data set hill-valley

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6068, kappa: 0.2954, kb_relative_information_score: 358, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.753, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5936, root_relative_squared_error: 1.1871,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(59) on task Supervised Classification on data set hill-valley

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5914, kappa: 0.1832, kb_relative_information_score: 222, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5918, predictive_accuracy: 0.5916, prior_entropy: 1, recall: 0.5916, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6391, root_relative_squared_error: 1.2781,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(70) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.6385, kappa: 0.08, kb_relative_information_score: 140.5802, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6618, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.7002, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1838,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(77) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.6334, kappa: 0.0583, kb_relative_information_score: 98.2546, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5603, root_relative_squared_error: 1.2392,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(33) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, f_measure: 0.6565, kappa: 0.1175, kb_relative_information_score: 124.7081, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6557, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.6575, kappa: 0.1201, kb_relative_information_score: 129.9988, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6595, predictive_accuracy: 0.7067, prior_entropy: 0.8651, recall: 0.7067, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1979,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(68) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.6534, kappa: 0.1126, kb_relative_information_score: 143.2256, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6695, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.1803,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(60) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.6842, kappa: 0.1888, kb_relative_information_score: 164.3884, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6975, predictive_accuracy: 0.729, prior_entropy: 0.8651, recall: 0.729, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.1515,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(71) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.9292, kappa: 0.3216, kb_relative_information_score: 697.7086, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.926, predictive_accuracy: 0.9396, prior_entropy: 0.3411, recall: 0.9396, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2457, root_relative_squared_error: 1.0103,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(78) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.9062, kappa: 0.022, kb_relative_information_score: 482.8433, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.8896, predictive_accuracy: 0.9325, prior_entropy: 0.3411, recall: 0.9325, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2598, root_relative_squared_error: 1.0681,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(34) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6345, f_measure: 0.9332, kappa: 0.359, kb_relative_information_score: 805.1412, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.9801,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.927, kappa: 0.2661, kb_relative_information_score: 793.2042, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9302, predictive_accuracy: 0.9428, prior_entropy: 0.3411, recall: 0.9428, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.9835,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(69) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.9254, kappa: 0.2524, kb_relative_information_score: 745.4564, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9265, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.997,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(61) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.9277, kappa: 0.2669, kb_relative_information_score: 840.9521, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9351, predictive_accuracy: 0.9444, prior_entropy: 0.3411, recall: 0.9444, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.9699,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(72) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2123.091, mean_prior_absolute_error: 0.1679, number_of_instances: 2126, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9174, recall: 1, root_mean_prior_squared_error: 0.2897,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(79) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9986, kappa: 0.9983, kb_relative_information_score: 2118.0659, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1679, number_of_instances: 2126, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 2.9174, recall: 0.9986, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.2897, root_mean_squared_error: 0.0168, root_relative_squared_error: 0.058,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9972, kappa: 0.9966, kb_relative_information_score: 2116.6348, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.1679, number_of_instances: 2126, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 2.9174, recall: 0.9972, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.2897, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.082,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(70) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2123.091, mean_prior_absolute_error: 0.1679, number_of_instances: 2126, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9174, recall: 1, root_mean_prior_squared_error: 0.2897,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(62) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2123.091, mean_prior_absolute_error: 0.1679, number_of_instances: 2126, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9174, recall: 1, root_mean_prior_squared_error: 0.2897,

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