OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8896, kappa: 0.879, kb_relative_information_score: 9739.2651, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8904, predictive_accuracy: 0.8911, prior_entropy: 3.3208, recall: 0.8911, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.492,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9912, kappa: 0.9902, kb_relative_information_score: 10890.9297, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 3.3208, recall: 0.9912, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.042, root_relative_squared_error: 0.14,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(19) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9705, kappa: 0.9657, kb_relative_information_score: 2236.6132, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9705, predictive_accuracy: 0.9706, prior_entropy: 2.8074, recall: 0.9706, relative_absolute_error: 0.0343, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.2621,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(19) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9628, kappa: 0.9566, kb_relative_information_score: 2217.1873, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 2.8074, recall: 0.9628, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2947,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9656, kappa: 0.9601, kb_relative_information_score: 2224.7418, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 2.8074, recall: 0.9658, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.2825,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(19) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8878, kappa: 0.8697, kb_relative_information_score: 2031.5618, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8894, predictive_accuracy: 0.8883, prior_entropy: 2.8074, recall: 0.8883, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5105,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9805, kappa: 0.9773, kb_relative_information_score: 2261.4352, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9805, predictive_accuracy: 0.9805, prior_entropy: 2.8074, recall: 0.9805, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2132,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(20) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7569, kappa: 0.4535, kb_relative_information_score: 357.8742, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7618, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0129,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(20) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.7423, kappa: 0.4235, kb_relative_information_score: 325.8199, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7419, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0517,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(6) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7491, kappa: 0.4362, kb_relative_information_score: 344.1366, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.753, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0297,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7363, kappa: 0.4079, kb_relative_information_score: 321.2408, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0572,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(20) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.7607, kappa: 0.4625, kb_relative_information_score: 362.4533, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7643, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0072,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(16) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 355.5846, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.0157,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(21) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9305, kappa: 0.9245, kb_relative_information_score: 636.9532, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9337, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(21) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9222, kappa: 0.9149, kb_relative_information_score: 632.5287, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9228, kappa: 0.915, kb_relative_information_score: 632.8777, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9255, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(21) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.933, kappa: 0.9277, kb_relative_information_score: 637.5522, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9359, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(22) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 3998.5459, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5066,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(22) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9274, kappa: 0.8477, kb_relative_information_score: 3889.6161, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9275, predictive_accuracy: 0.9276, prior_entropy: 0.9674, recall: 0.9276, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5506,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(7) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9537, kappa: 0.903, kb_relative_information_score: 4145.9217, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9674, recall: 0.9537, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4403,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.92, kappa: 0.8319, kb_relative_information_score: 3816.9961, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9201, predictive_accuracy: 0.9202, prior_entropy: 0.9674, recall: 0.9202, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.578,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(22) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.9132, kappa: 0.8172, kb_relative_information_score: 3755.0556, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9145, predictive_accuracy: 0.9139, prior_entropy: 0.9674, recall: 0.9139, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6004,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(17) on task Supervised Classification on data set spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9549, kappa: 0.9054, kb_relative_information_score: 4158.7369, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9674, recall: 0.955, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.4341,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(23) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9581, kappa: 0.932, kb_relative_information_score: 2986.7882, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9584, predictive_accuracy: 0.958, prior_entropy: 1.4804, recall: 0.958, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3696,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(23) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9476, kappa: 0.9149, kb_relative_information_score: 2935.9463, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9481, predictive_accuracy: 0.9473, prior_entropy: 1.4804, recall: 0.9473, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.4138,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8742, kappa: 0.8049, kb_relative_information_score: 2633.162, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.8969, predictive_accuracy: 0.874, prior_entropy: 1.4804, recall: 0.874, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6401,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(23) on task Supervised Classification on data set splice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9603, kappa: 0.9355, kb_relative_information_score: 2996.8602, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9605, predictive_accuracy: 0.9602, prior_entropy: 1.4804, recall: 0.9602, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3598,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(24) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 955.3995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9312, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(24) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9498, kappa: 0.8889, kb_relative_information_score: 847.2887, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9498, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4704,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(8) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9969, kappa: 0.9931, kb_relative_information_score: 950.7991, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 0.9312, recall: 0.9969, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1176,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9853, kappa: 0.9675, kb_relative_information_score: 925.4965, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9856, predictive_accuracy: 0.9854, prior_entropy: 0.9312, recall: 0.9854, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.254,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(24) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.9097, kappa: 0.7969, kb_relative_information_score: 764.4804, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9175, predictive_accuracy: 0.9123, prior_entropy: 0.9312, recall: 0.9123, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.6223,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(18) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.8984, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1663,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(25) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8473, kappa: 0.7966, kb_relative_information_score: 690.7495, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8471, predictive_accuracy: 0.8475, prior_entropy: 1.9991, recall: 0.8475, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6378,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(25) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6718, kappa: 0.5728, kb_relative_information_score: 519.7816, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6669, predictive_accuracy: 0.6797, prior_entropy: 1.9991, recall: 0.6797, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.9244,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7068, kappa: 0.62, kb_relative_information_score: 555.6344, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7033, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.8718,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(25) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7361, kappa: 0.6613, kb_relative_information_score: 587.6235, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7327, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.8234,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(19) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7489, kappa: 0.6754, kb_relative_information_score: 598.3274, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7454, predictive_accuracy: 0.7565, prior_entropy: 1.9991, recall: 0.7565, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.806,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(26) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8637, kappa: 0.796, kb_relative_information_score: 4069.8257, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 1.5849, recall: 0.864, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6388,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(26) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7645, kappa: 0.6472, kb_relative_information_score: 3390.61, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7647, predictive_accuracy: 0.7648, prior_entropy: 1.5849, recall: 0.7648, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.396, root_relative_squared_error: 0.84,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8289, kappa: 0.7445, kb_relative_information_score: 3834.6448, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8303, predictive_accuracy: 0.8296, prior_entropy: 1.5849, recall: 0.8296, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.337, root_relative_squared_error: 0.715,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(26) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8672, kappa: 0.8011, kb_relative_information_score: 4092.8603, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8675, predictive_accuracy: 0.8674, prior_entropy: 1.5849, recall: 0.8674, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6307,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(20) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8554, kappa: 0.7847, kb_relative_information_score: 4018.4137, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8589, predictive_accuracy: 0.8564, prior_entropy: 1.5849, recall: 0.8564, relative_absolute_error: 0.2154, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6564,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8901, kappa: 0.7752, kb_relative_information_score: 35020.8105, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8901, predictive_accuracy: 0.8901, prior_entropy: 0.9835, recall: 0.8901, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6706,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9219, kappa: 0.9049, kb_relative_information_score: 5828.5865, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9216, predictive_accuracy: 0.923, prior_entropy: 2.4836, recall: 0.923, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4359,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.865, kappa: 0.8364, kb_relative_information_score: 5391.6698, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8638, predictive_accuracy: 0.8678, prior_entropy: 2.4836, recall: 0.8678, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.5712,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.912, kappa: 0.8913, kb_relative_information_score: 5749.9227, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 2.4836, recall: 0.912, relative_absolute_error: 0.1086, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.4661,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.814, kappa: 0.792, kb_relative_information_score: 5037.5396, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8163, predictive_accuracy: 0.8337, prior_entropy: 2.4836, recall: 0.8337, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.6406,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(21) on task Supervised Classification on data set satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9157, kappa: 0.8983, kb_relative_information_score: 5771.9566, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9159, predictive_accuracy: 0.9179, prior_entropy: 2.4836, recall: 0.9179, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.4502,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.2482, kappa: 0.1659, kb_relative_information_score: 855.2858, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2554, predictive_accuracy: 0.2732, prior_entropy: 3.6268, recall: 0.2732, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2239, root_relative_squared_error: 1.2741,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.2188, kappa: 0.1451, kb_relative_information_score: 807.6188, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2404, predictive_accuracy: 0.2545, prior_entropy: 3.6268, recall: 0.2545, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2267, root_relative_squared_error: 1.2904,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.2304, kappa: 0.1433, kb_relative_information_score: 777.9956, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2277, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 0.8364, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2273, root_relative_squared_error: 1.2937,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(22) on task Supervised Classification on data set abalone

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.2426, kappa: 0.1588, kb_relative_information_score: 843.6165, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2467, predictive_accuracy: 0.2665, prior_entropy: 3.6268, recall: 0.2665, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2249, root_relative_squared_error: 1.28,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.6489, kappa: 0.5552, kb_relative_information_score: 429.5513, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6491, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9389,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(30) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.6083, kappa: 0.5009, kb_relative_information_score: 393.4018, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6143, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9928,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.5786, kappa: 0.4626, kb_relative_information_score: 367.1466, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5851, predictive_accuracy: 0.5856, prior_entropy: 2.2629, recall: 0.5856, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0289,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6038, kappa: 0.4992, kb_relative_information_score: 389.8815, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6039, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9946,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(30) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8569, kappa: 0.7142, kb_relative_information_score: 488.4748, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, 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.rpart.preproc.preproc.tuned(31) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.8453, kappa: 0.6884, kb_relative_information_score: 472.1928, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8608, kappa: 0.7181, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8531, kappa: 0.702, kb_relative_information_score: 484.4043, mean_absolute_error: 0.1464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8537, 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.glmnet.preproc.preproc.tuned(29) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 504.7569, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7308,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(23) on task Supervised Classification on data set Australian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 494.5806, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7506,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(31) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9805, kappa: 0.8263, kb_relative_information_score: 2872.538, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9803, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.5762,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(32) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9847, kappa: 0.8656, kb_relative_information_score: 3057.7699, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9846, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.5127,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(10) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9873, kappa: 0.8902, kb_relative_information_score: 3168.9091, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9874, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4705,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.9633, kappa: 0.6534, kb_relative_information_score: 2205.7032, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.964, predictive_accuracy: 0.9666, prior_entropy: 0.3333, recall: 0.9666, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.7623,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(30) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.9461, kappa: 0.4648, kb_relative_information_score: 1637.6586, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9485, predictive_accuracy: 0.9544, prior_entropy: 0.3333, recall: 0.9544, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8906,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(32) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 984.8013, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.995, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.1054,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8352, kappa: 0.8189, kb_relative_information_score: 820.5212, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8357, predictive_accuracy: 0.8354, prior_entropy: 3.4594, recall: 0.8354, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.173, root_relative_squared_error: 0.6018,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(31) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.6029, kappa: 0.5811, kb_relative_information_score: 598.0152, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6123, predictive_accuracy: 0.6192, prior_entropy: 3.4594, recall: 0.6192, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9153,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(24) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9666, kappa: 0.9633, kb_relative_information_score: 955.6883, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 3.4594, recall: 0.9667, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2708,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(34) on task Supervised Classification on data set isolet

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8286, kappa: 0.8217, kb_relative_information_score: 6443.9224, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8294, predictive_accuracy: 0.8285, prior_entropy: 4.7004, recall: 0.8285, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5972,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(35) on task Supervised Classification on data set scene

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.952, kappa: 0.8291, kb_relative_information_score: 1960.889, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9571, predictive_accuracy: 0.9547, prior_entropy: 0.6786, recall: 0.9547, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.555,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(33) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(36) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.964, kappa: 0.9281, kb_relative_information_score: 516, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 1, recall: 0.964, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3793,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(11) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9478, kappa: 0.8957, kb_relative_information_score: 498, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9509, predictive_accuracy: 0.9478, prior_entropy: 1, recall: 0.9478, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4568,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(32) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(25) on task Supervised Classification on data set monks-problems-1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(34) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(37) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 589.1033, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1922,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(12) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.8737, kappa: 0.72, kb_relative_information_score: 424.6591, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8739, predictive_accuracy: 0.8735, prior_entropy: 0.9279, recall: 0.8735, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7492,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(33) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: 77.2417, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4242, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.292,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(26) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 593.7355, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.1489,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(35) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(38) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083,

Michel Lang 8 years ago
ran flow mlr.classif.gbm.preproc.preproc.tuned(13) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8911, kappa: 0.7821, kb_relative_information_score: 433.724, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8959, predictive_accuracy: 0.8917, prior_entropy: 0.9989, recall: 0.8917, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6587,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(34) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,

Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(27) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 541.9683, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0217, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2083,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(39) on task Supervised Classification on data set webdata_wXa

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.8218, kappa: 0.4969, kb_relative_information_score: 17358.461, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8196, predictive_accuracy: 0.8282, prior_entropy: 0.7951, recall: 0.8282, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9706,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(36) on task Supervised Classification on data set JapaneseVowels

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9978, kappa: 0.9975, kb_relative_information_score: 9937.2576, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.1321, recall: 0.9978, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0222, root_relative_squared_error: 0.0707,

Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(40) on task Supervised Classification on data set JapaneseVowels

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8782, kappa: 0.8623, kb_relative_information_score: 8656.8842, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.878, predictive_accuracy: 0.8784, prior_entropy: 3.1321, recall: 0.8784, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.5248,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.9949, kb_relative_information_score: 9912.5561, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.1321, recall: 0.9955, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0317, root_relative_squared_error: 0.1012,

Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(35) on task Supervised Classification on data set JapaneseVowels

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9075, kappa: 0.8969, kb_relative_information_score: 8967.2733, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9082, predictive_accuracy: 0.9091, prior_entropy: 3.1321, recall: 0.9091, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4537,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9755, kappa: 0.9724, kb_relative_information_score: 9694.0913, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 3.1321, recall: 0.9756, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2351,

Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(37) on task Supervised Classification on data set synthetic_control

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.995, kappa: 0.994, kb_relative_information_score: 596.6947, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 2.585, recall: 0.995, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1095,

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