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Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.5562, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1.3181, recall: 1, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.6248,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.7427, kappa: 0.3651, kb_relative_information_score: 0.3846, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.745, predictive_accuracy: 0.759, prior_entropy: 0.8813, recall: 0.759, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0713,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.8001, kappa: 0.3278, kb_relative_information_score: 0.4052, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8333, prior_entropy: 0.7318, recall: 0.8333, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0113,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.6377, kappa: 0.5396, kb_relative_information_score: 0.3253, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6369, predictive_accuracy: 0.6413, prior_entropy: 2.2621, recall: 0.6413, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8705,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.922, kappa: 0.2848, kb_relative_information_score: 0.3364, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9271, predictive_accuracy: 0.9387, prior_entropy: 0.3638, recall: 0.9387, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9742,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.9028, kappa: 0.4991, kb_relative_information_score: 0.489, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.915, prior_entropy: 0.5353, recall: 0.915, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.8908,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.977, kappa: 0.9507, kb_relative_information_score: 0.9497, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9775, predictive_accuracy: 0.9772, prior_entropy: 0.9526, recall: 0.9772, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3126,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.1917, kappa: 0.0399, kb_relative_information_score: 0.1244, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.201, predictive_accuracy: 0.2058, prior_entropy: 2.5803, recall: 0.2058, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3786, root_relative_squared_error: 1.0164,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.8657, kappa: 0.1217, kb_relative_information_score: 0.303, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8937, predictive_accuracy: 0.9034, prior_entropy: 0.4765, recall: 0.9034, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0254,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 0.2888, mean_absolute_error: 0.1488, 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: 0.9001, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.9162,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8657, kappa: 0.6984, kb_relative_information_score: 0.6869, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8654, predictive_accuracy: 0.8664, prior_entropy: 0.9223, recall: 0.8664, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7732,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.623, kappa: 0.0542, kb_relative_information_score: 0.255, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6869, predictive_accuracy: 0.7187, prior_entropy: 0.8641, recall: 0.7187, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5304, root_relative_squared_error: 1.1731,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9701, kappa: 0.9341, kb_relative_information_score: 0.9306, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9706, predictive_accuracy: 0.97, prior_entropy: 0.9293, recall: 0.97, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3647,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 0.4398, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7874, recall: 0.9976, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.312, root_relative_squared_error: 0.7527,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8595, kappa: 0.8124, kb_relative_information_score: 0.4539, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8597, predictive_accuracy: 0.8593, prior_entropy: 1.9991, recall: 0.8593, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.7631,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.9223, kappa: 0.242, kb_relative_information_score: 0.2291, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9176, predictive_accuracy: 0.9357, prior_entropy: 0.3398, recall: 0.9357, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2536, root_relative_squared_error: 1.0428,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8161, kappa: 0.6209, kb_relative_information_score: 0.6241, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8197, predictive_accuracy: 0.8185, prior_entropy: 0.9825, recall: 0.8185, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8625,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.8239, kappa: 0.2395, kb_relative_information_score: 0.326, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8311, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3778, root_relative_squared_error: 1.045,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7638, kappa: 0.4692, kb_relative_information_score: 0.4811, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.769, predictive_accuracy: 0.7734, prior_entropy: 0.9331, recall: 0.7734, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9986,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9775, kappa: 0.975, kb_relative_information_score: 0.298, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9776, predictive_accuracy: 0.9775, prior_entropy: 3.3219, recall: 0.9775, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9083,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8494, kappa: 0.8328, kb_relative_information_score: 0.2895, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8498, predictive_accuracy: 0.8495, prior_entropy: 3.3219, recall: 0.8495, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.7467, kappa: 0.2523, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7488, predictive_accuracy: 0.7781, prior_entropy: 0.7916, recall: 0.7781, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8569, kappa: 0.7142, kb_relative_information_score: 0.708, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8565, prior_entropy: 0.9912, 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,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.5038, kappa: 0.2326, kb_relative_information_score: 0.2353, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.506, predictive_accuracy: 0.5024, prior_entropy: 1.539, recall: 0.5024, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4707, root_relative_squared_error: 1.0142,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.7519, kappa: 0.7261, kb_relative_information_score: 0.2812, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7543, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9156,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8315, kappa: 0.815, kb_relative_information_score: 0.2883, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8297, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9129,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.9687, kappa: 0.719, kb_relative_information_score: 0.6258, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9682, predictive_accuracy: 0.9698, prior_entropy: 0.3324, recall: 0.9698, relative_absolute_error: 0.2624, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.7251,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5907, kappa: 0.1675, kb_relative_information_score: 0.2113, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.612, predictive_accuracy: 0.62, prior_entropy: 0.9815, recall: 0.62, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.249,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9593, kappa: 0.9547, kb_relative_information_score: 0.2973, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9598, predictive_accuracy: 0.9592, prior_entropy: 3.3218, recall: 0.9592, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9084,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.9443, kappa: 0.6299, kb_relative_information_score: 0.5324, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9431, predictive_accuracy: 0.9463, prior_entropy: 0.4202, recall: 0.9463, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.8301,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 1, kappa: 1, kb_relative_information_score: 0.025, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 1, predictive_accuracy: 1, prior_entropy: 1.2058, recall: 1, relative_absolute_error: 1.0924, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9216,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7538, kappa: 0.6829, kb_relative_information_score: 0.2405, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7555, predictive_accuracy: 0.7537, prior_entropy: 2.4107, recall: 0.7537, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.9253,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9727, kappa: 0.9682, kb_relative_information_score: 0.3525, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 2.8074, recall: 0.9727, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.8627,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9646, kappa: 0.9426, kb_relative_information_score: 0.5806, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9648, predictive_accuracy: 0.9646, prior_entropy: 1.4802, recall: 0.9646, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6353,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6121, kappa: 0.2254, kb_relative_information_score: 0.2254, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6134, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.2447,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 0.2986, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9786, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.9077,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 0.3317, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.993, recall: 0.9991, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8812,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9372, kappa: 0.9292, kb_relative_information_score: 0.3071, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9378, predictive_accuracy: 0.937, prior_entropy: 3.1699, recall: 0.937, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8995,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9859, kappa: 0.8608, kb_relative_information_score: 0.8011, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9858, predictive_accuracy: 0.9859, prior_entropy: 0.3029, recall: 0.9859, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.5248,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.982, kappa: 0.98, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.3219, recall: 0.982, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.9081,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9612, kappa: 0.9371, kb_relative_information_score: 0.5784, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9617, predictive_accuracy: 0.9611, prior_entropy: 1.4798, recall: 0.9611, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6383,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9987, kappa: 0.9986, kb_relative_information_score: 0.289, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9987, predictive_accuracy: 0.9987, prior_entropy: 3.4594, recall: 0.9987, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.9159,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9931, kappa: 0.9923, kb_relative_information_score: 0.3005, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 3.3218, recall: 0.9931, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.9071,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.9174, kappa: 0.645, kb_relative_information_score: 0.5934, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9167, predictive_accuracy: 0.9214, prior_entropy: 0.5879, recall: 0.9214, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.8046,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.8921, kappa: 0.7386, kb_relative_information_score: 0.721, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8918, predictive_accuracy: 0.8927, prior_entropy: 0.8732, recall: 0.8927, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.7195,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9108, kappa: 0.8907, kb_relative_information_score: 0.3479, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9104, predictive_accuracy: 0.9115, prior_entropy: 2.4834, recall: 0.9115, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.8526,
Jan van Rijn 5 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set Internet-Advertisements
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.9732, kappa: 0.8851, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9742, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.161, root_relative_squared_error: 0.464,
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
Jan van Rijn 6 years ago
ran flow weka.classifiers.meta.MultiSea ... fiers.functions.Logistic)))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)