OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6345, kappa: 0.5255, kb_relative_information_score: 5508.286, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6351, predictive_accuracy: 0.6383, prior_entropy: 2.1936, recall: 0.6383, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.9717,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.8957, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.9931, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set mozilla4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8905, kappa: 0.7521, kb_relative_information_score: 11479.9733, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8906, predictive_accuracy: 0.8904, prior_entropy: 0.9135, recall: 0.8904, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.331, root_relative_squared_error: 0.7047,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.8795, kappa: 0.3635, kb_relative_information_score: 579.1347, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8868, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9666,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.8497, kappa: 0.017, kb_relative_information_score: 342.5192, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8271, predictive_accuracy: 0.8919, prior_entropy: 0.478, recall: 0.8919, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3288, root_relative_squared_error: 1.0848,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.7769, kappa: 0.21, kb_relative_information_score: 3352.4075, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.817, prior_entropy: 0.7088, recall: 0.817, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0829,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.8377, kappa: 0.4792, kb_relative_information_score: 235.798, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8356, predictive_accuracy: 0.8467, prior_entropy: 0.734, recall: 0.8467, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9698,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.8254, kappa: 0.2571, kb_relative_information_score: 634.8211, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8231, predictive_accuracy: 0.8521, prior_entropy: 0.622, recall: 0.8521, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3846, root_relative_squared_error: 1.064,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, f_measure: 0.9151, kappa: 0.2217, kb_relative_information_score: 305.7153, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.8371, kappa: 0.635, kb_relative_information_score: 12264.2527, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8498, predictive_accuracy: 0.8442, prior_entropy: 0.9355, recall: 0.8442, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3947, 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 autoUniv-au6-1000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.1557, kappa: 0.0289, kb_relative_information_score: 123.5267, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1675, predictive_accuracy: 0.221, prior_entropy: 2.9228, recall: 0.221, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.3469,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set autoUniv-au7-500

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.3399, kappa: 0.1251, kb_relative_information_score: 113.1426, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2996, number_of_instances: 500, precision: 0.3511, predictive_accuracy: 0.414, prior_entropy: 2.1516, recall: 0.414, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.3869, root_mean_squared_error: 0.4841, root_relative_squared_error: 1.2513,

Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set autoUniv-au6-750

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.1517, kappa: 0.0168, kb_relative_information_score: 80.2079, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2137, number_of_instances: 750, precision: 0.1419, predictive_accuracy: 0.2, prior_entropy: 2.8958, recall: 0.2, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3269, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3682,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Michel Lang 8 years ago
ran flow mlr.classif.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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,

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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.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.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set synthetic_control

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9783, kappa: 0.974, kb_relative_information_score: 585.6772, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9788, predictive_accuracy: 0.9783, prior_entropy: 2.585, recall: 0.9783, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.085, root_relative_squared_error: 0.228,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 485.7089, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9861, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2381,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.994, kappa: 0.9914, kb_relative_information_score: 833.9717, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0545, root_relative_squared_error: 0.1315,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.198, kappa: 0.0335, kb_relative_information_score: 92.9314, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2046, predictive_accuracy: 0.1995, prior_entropy: 2.5803, recall: 0.1995, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5166, root_relative_squared_error: 1.387,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.6105, kappa: 0.1068, kb_relative_information_score: 145.2349, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6282, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.222,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.6775, kappa: 0.6558, kb_relative_information_score: 328.0452, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 0.7003, predictive_accuracy: 0.688, prior_entropy: 3.6642, recall: 0.688, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.204, root_relative_squared_error: 0.829,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.8101, kappa: 0.4721, kb_relative_information_score: 2089.7226, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8087, predictive_accuracy: 0.8192, prior_entropy: 0.8085, recall: 0.8192, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.9845,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9777, kappa: 0.9443, kb_relative_information_score: 820.7977, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9778, predictive_accuracy: 0.9777, prior_entropy: 1.2149, recall: 0.9777, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.3337,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9471, kappa: 0.894, kb_relative_information_score: 2857.0309, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9986, recall: 0.9471, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4604,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9584, kappa: 0.9567, kb_relative_information_score: 19156.6465, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9585, predictive_accuracy: 0.9584, prior_entropy: 4.6998, recall: 0.9584, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.2942,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8571, kappa: 0.8014, kb_relative_information_score: 456.3337, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8242, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.6137,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9689, kappa: 0.9656, kb_relative_information_score: 1935.163, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9692, predictive_accuracy: 0.969, prior_entropy: 3.3219, recall: 0.969, relative_absolute_error: 0.0344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.2625,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8154, kappa: 0.7956, kb_relative_information_score: 1615.1612, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8182, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,

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