OpenML

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(73) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.8727, kappa: 0.0552, kb_relative_information_score: 51.8156, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8557, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.322, root_relative_squared_error: 1.1536,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(80) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, f_measure: 0.8897, kappa: 0.1847, kb_relative_information_score: 112.0137, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8817, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0791,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(35) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.8696, kappa: 0.0055, kb_relative_information_score: 69.0151, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8457, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.1328,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8741, kb_relative_information_score: 137.8129, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(71) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.8852, kappa: 0.1515, kb_relative_information_score: 94.8142, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8749, predictive_accuracy: 0.9056, prior_entropy: 0.4254, recall: 0.9056, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3073, root_relative_squared_error: 1.1009,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(63) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.8713, kappa: -0.0105, kb_relative_information_score: 112.0137, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8365, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3012, root_relative_squared_error: 1.0791,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(74) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8954, kappa: 0.7884, kb_relative_information_score: 11800.0695, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8954, predictive_accuracy: 0.8955, prior_entropy: 0.9924, recall: 0.8955, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6501,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(81) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.8449, kappa: 0.6861, kb_relative_information_score: 10269.0066, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8449, predictive_accuracy: 0.8451, prior_entropy: 0.9924, recall: 0.8451, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7912,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(36) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.9472, kappa: 0.8932, kb_relative_information_score: 13375.8054, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.9924, recall: 0.9473, relative_absolute_error: 0.1066, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.4617,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8634, kappa: 0.7237, kb_relative_information_score: 10829.4487, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8634, predictive_accuracy: 0.8636, prior_entropy: 0.9924, recall: 0.8636, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7427,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(72) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.5576, kappa: 0.1221, kb_relative_information_score: 2282.7063, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5769, predictive_accuracy: 0.5826, prior_entropy: 0.9924, recall: 0.5826, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6461, root_relative_squared_error: 1.299,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(64) on task Supervised Classification on data set eeg-eye-state

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9338, kappa: 0.8659, kb_relative_information_score: 12969.6879, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9342, predictive_accuracy: 0.9339, prior_entropy: 0.9924, recall: 0.9339, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5169,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(75) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.5736, kappa: 0.4338, kb_relative_information_score: 2739.3917, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5693, predictive_accuracy: 0.5863, prior_entropy: 2.3005, recall: 0.5863, relative_absolute_error: 0.5499, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.0488,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(82) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.5408, kappa: 0.391, kb_relative_information_score: 2486.6307, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5341, predictive_accuracy: 0.5561, prior_entropy: 2.3005, recall: 0.5561, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3847, root_relative_squared_error: 1.0864,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.5792, kappa: 0.4422, kb_relative_information_score: 2765.0179, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5732, predictive_accuracy: 0.5892, prior_entropy: 2.3005, recall: 0.5892, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.37, root_relative_squared_error: 1.045,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(73) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.4123, kappa: 0.206, kb_relative_information_score: 1721.1454, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4357, predictive_accuracy: 0.4729, prior_entropy: 2.3005, recall: 0.4729, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.1839,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(65) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6201, kappa: 0.497, kb_relative_information_score: 3075.9155, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.615, predictive_accuracy: 0.6322, prior_entropy: 2.3005, recall: 0.6322, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.9889,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(76) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(83) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1333.2845, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(37) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1369.9285, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.8927, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(74) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9599, kappa: 0.9189, kb_relative_information_score: 1259.9967, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(66) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1347.5349, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(77) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.7477, kappa: 0.2558, kb_relative_information_score: 231.752, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7491, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(84) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 213.1323, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(38) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.76, kappa: 0.2912, kb_relative_information_score: 259.6816, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7667, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0759,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7583, kappa: 0.2904, kb_relative_information_score: 244.1652, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7583, predictive_accuracy: 0.7834, prior_entropy: 0.7928, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(75) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.7023, kappa: 0.1149, kb_relative_information_score: 216.2356, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.1228,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(67) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.7476, kappa: 0.2566, kb_relative_information_score: 228.6488, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7477, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4725, root_relative_squared_error: 1.1096,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(78) on task Supervised Classification on data set artificial-characters

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8943, kappa: 0.8819, kb_relative_information_score: 9055.7982, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.8945, predictive_accuracy: 0.8943, prior_entropy: 3.2849, recall: 0.8943, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.486,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(85) on task Supervised Classification on data set artificial-characters

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7983, kappa: 0.7749, kb_relative_information_score: 8035.1987, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7985, predictive_accuracy: 0.7985, prior_entropy: 3.2849, recall: 0.7985, relative_absolute_error: 0.2251, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.671,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9464, kappa: 0.9401, kb_relative_information_score: 9640.4691, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 3.2849, recall: 0.9464, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3462,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(76) on task Supervised Classification on data set artificial-characters

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.3066, kappa: 0.2522, kb_relative_information_score: 2993.0695, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3077, predictive_accuracy: 0.3331, prior_entropy: 3.2849, recall: 0.3331, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.3652, root_relative_squared_error: 1.2207,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(68) on task Supervised Classification on data set artificial-characters

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.938, kappa: 0.9307, kb_relative_information_score: 9541.7153, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 3.2849, recall: 0.938, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3724,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(79) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8175, kappa: 0.6245, kb_relative_information_score: 336.9606, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8179, predictive_accuracy: 0.8185, prior_entropy: 0.9826, recall: 0.8185, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8625,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(86) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.7051, kappa: 0.3947, kb_relative_information_score: 210.6232, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7048, predictive_accuracy: 0.7056, prior_entropy: 0.9826, recall: 0.7056, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.0986,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(39) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.8327, kappa: 0.656, kb_relative_information_score: 353.5294, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8328, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8266,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7856, kappa: 0.5579, kb_relative_information_score: 303.8229, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7897, predictive_accuracy: 0.7889, prior_entropy: 0.9826, recall: 0.7889, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9303,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(77) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7735, kappa: 0.5333, kb_relative_information_score: 289.3252, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7751, predictive_accuracy: 0.7759, prior_entropy: 0.9826, recall: 0.7759, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9584,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(80) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.5632, kappa: 0.4406, kb_relative_information_score: 4672.7302, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5782, predictive_accuracy: 0.5842, prior_entropy: 2.1936, recall: 0.5842, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0418,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(87) on task Supervised Classification on data set GesturePhaseSegmentationProcessed

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.5265, kappa: 0.3886, kb_relative_information_score: 4224.5954, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5247, predictive_accuracy: 0.5405, prior_entropy: 2.1936, recall: 0.5405, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0952,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(7) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 641.0055, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(7) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.94, kappa: 0.8673, kb_relative_information_score: 601.7784, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.94, predictive_accuracy: 0.9399, prior_entropy: 0.9297, recall: 0.9399, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5157,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(2) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 638.698, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4058,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9656, kappa: 0.9237, kb_relative_information_score: 643.313, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.9297, recall: 0.9657, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3899,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(7) on task Supervised Classification on data set breast-w

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9642, kappa: 0.9208, kb_relative_information_score: 641.0055, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 1952.9409, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8257, kappa: 0.8067, kb_relative_information_score: 1636.0764, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6218,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9624, kappa: 0.9583, kb_relative_information_score: 1921.5682, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9634, predictive_accuracy: 0.9625, prior_entropy: 3.3219, recall: 0.9625, relative_absolute_error: 0.0417, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2887,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.952, kappa: 0.9467, kb_relative_information_score: 1899.6073, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9523, predictive_accuracy: 0.952, prior_entropy: 3.3219, recall: 0.952, relative_absolute_error: 0.0533, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3266,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(6) on task Supervised Classification on data set mfeat-karhunen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.96, kappa: 0.9556, kb_relative_information_score: 1916.3394, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 3.3219, recall: 0.96, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.2981,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(9) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7435, kappa: 0.72, kb_relative_information_score: 1472.9382, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7473, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.7483,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(9) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7014, kappa: 0.6839, kb_relative_information_score: 1404.964, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.709, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7951,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7156, kappa: 0.6844, kb_relative_information_score: 1406.0097, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7176, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7944,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(9) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7071, kappa: 0.6772, kb_relative_information_score: 1392.4149, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7157, predictive_accuracy: 0.7095, prior_entropy: 3.3219, recall: 0.7095, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.241, root_relative_squared_error: 0.8035,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(7) on task Supervised Classification on data set mfeat-morphological

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.6996, kappa: 0.6689, kb_relative_information_score: 1376.7285, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.702, prior_entropy: 3.3219, recall: 0.702, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.8138,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(10) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9765, kappa: 0.9739, kb_relative_information_score: 1950.8494, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9767, predictive_accuracy: 0.9765, prior_entropy: 3.3219, recall: 0.9765, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.2285,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(10) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8538, kappa: 0.8378, kb_relative_information_score: 1694.6388, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8545, predictive_accuracy: 0.854, prior_entropy: 3.3219, recall: 0.854, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.5696,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9699, kappa: 0.9667, kb_relative_information_score: 1937.2546, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9708, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.0333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2582,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(10) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9645, kappa: 0.9606, kb_relative_information_score: 1925.7512, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.2809,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 1942.4833, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9727, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(11) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 1720.1993, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 1.2099, recall: 0.9994, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0503,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(11) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9735, kappa: 0.9419, kb_relative_information_score: 1605.4552, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9736, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3412,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9205, kappa: 0.8362, kb_relative_information_score: 1354.3832, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.93, predictive_accuracy: 0.9248, prior_entropy: 1.2099, recall: 0.9248, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.5736,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(11) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8594, kappa: 0.7094, kb_relative_information_score: 1079.0215, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8666, predictive_accuracy: 0.8704, prior_entropy: 1.2099, recall: 0.8704, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.753,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(9) on task Supervised Classification on data set car

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9817, kappa: 0.96, kb_relative_information_score: 1652.0986, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9822, predictive_accuracy: 0.9815, prior_entropy: 1.2099, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(12) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8292, kappa: 0.8133, kb_relative_information_score: 1648.6255, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8269, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.611,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(12) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.6812, kappa: 0.6511, kb_relative_information_score: 1343.2643, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6796, predictive_accuracy: 0.686, prior_entropy: 3.3219, recall: 0.686, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.8353,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7924, kappa: 0.7711, kb_relative_information_score: 1569.1479, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7918, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(12) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7997, kappa: 0.7822, kb_relative_information_score: 1590.0631, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7962, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.198, root_relative_squared_error: 0.66,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(10) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7742, kappa: 0.7528, kb_relative_information_score: 1534.6379, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7716, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7032,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(13) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.5458, kappa: 0.296, kb_relative_information_score: 515.0311, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5481, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.1794,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(13) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.5367, kappa: 0.2825, kb_relative_information_score: 493.5655, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5452, predictive_accuracy: 0.5384, prior_entropy: 1.5392, recall: 0.5384, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.1953,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5214, kappa: 0.2592, kb_relative_information_score: 463.0781, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5248, predictive_accuracy: 0.5207, prior_entropy: 1.5392, recall: 0.5207, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.218,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(13) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.5042, kappa: 0.2289, kb_relative_information_score: 431.1976, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5034, predictive_accuracy: 0.5098, prior_entropy: 1.5392, recall: 0.5098, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.2317,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(11) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.5389, kappa: 0.2838, kb_relative_information_score: 498.7605, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5397, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1918,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(14) on task Supervised Classification on data set mushroom

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(14) on task Supervised Classification on data set mushroom

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8121.9925, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0111, root_relative_squared_error: 0.0222,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(3) on task Supervised Classification on data set mushroom

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(14) on task Supervised Classification on data set mushroom

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9995, kappa: 0.999, kb_relative_information_score: 8115.9813, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9991, recall: 0.9995, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0222, root_relative_squared_error: 0.0444,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(15) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9883, kappa: 0.987, kb_relative_information_score: 5550.9432, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 3.3218, recall: 0.9883, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1615,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(15) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9023, kappa: 0.8913, kb_relative_information_score: 5045.0135, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9025, predictive_accuracy: 0.9021, prior_entropy: 3.3218, recall: 0.9021, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9822, kappa: 0.9802, kb_relative_information_score: 5515.4021, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.3218, recall: 0.9822, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1989,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(15) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9584, kappa: 0.9537, kb_relative_information_score: 5375.3926, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 3.3218, recall: 0.9584, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.3042,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(12) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9843, kappa: 0.9826, kb_relative_information_score: 5527.9789, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 3.3218, recall: 0.9843, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1865,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(16) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.8583, kappa: 0.7174, kb_relative_information_score: 490.5101, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7583,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(16) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8538, kappa: 0.7043, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7699,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(4) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8567, kappa: 0.7102, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.857, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8398, kappa: 0.6749, kb_relative_information_score: 466.0871, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8409, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8034,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(16) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.867, kappa: 0.7321, kb_relative_information_score: 502.7216, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7348,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(17) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.7401, kappa: 0.3607, kb_relative_information_score: 371.6154, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7399, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0823,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(17) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.7329, kappa: 0.3432, kb_relative_information_score: 353.7502, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7319, predictive_accuracy: 0.747, prior_entropy: 0.8818, recall: 0.747, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0976,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(5) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7448, kappa: 0.3724, kb_relative_information_score: 381.824, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7446, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.7164, kappa: 0.2953, kb_relative_information_score: 356.3024, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7332, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0954,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(17) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7542, kappa: 0.3997, kb_relative_information_score: 394.5849, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7523, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0623,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(13) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.7453, kappa: 0.3724, kb_relative_information_score: 386.9284, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7465, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.069,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(18) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.996, kappa: 0.9956, kb_relative_information_score: 10945.8531, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 3.3208, recall: 0.996, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0943,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(18) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9586, kappa: 0.954, kb_relative_information_score: 10516.221, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 3.3208, recall: 0.9586, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3033,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9938, kappa: 0.9931, kb_relative_information_score: 10920.9531, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 3.3208, recall: 0.9938, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.1173,

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