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Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(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: 3167.9145, 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, scimark_benchmark: 932.058,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set heart-c
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7949, kappa: 0.586, kb_relative_information_score: 167.4173, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7951, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.8899, scimark_benchmark: 933.1327,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set colic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8181, kappa: 0.6099, kb_relative_information_score: 219.7946, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8182, predictive_accuracy: 0.8179, prior_entropy: 0.9509, recall: 0.8179, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8839, scimark_benchmark: 902.321,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set waveform-5000
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8586, kappa: 0.7882, kb_relative_information_score: 4032.1265, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.859, predictive_accuracy: 0.8588, prior_entropy: 1.5849, recall: 0.8588, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.649, scimark_benchmark: 449.0152,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.6673, kappa: 0.5743, kb_relative_information_score: 452.0165, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.668, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.8812, scimark_benchmark: 946.3919,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set glass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7312, kappa: 0.6349, kb_relative_information_score: 140.536, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7322, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.8253, scimark_benchmark: 945.2082,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9528, kappa: 0.9012, kb_relative_information_score: 4127.4646, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1014, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4319, scimark_benchmark: 946.288,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.4949, kb_relative_information_score: 0.6398, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6534, root_relative_squared_error: 1.3068, scimark_benchmark: 915.3443,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9939, kappa: 0.9932, kb_relative_information_score: 10922.0838, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 3.3208, recall: 0.9939, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.1149, scimark_benchmark: 803.9525,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -89.7886, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9568, predictive_accuracy: 0.9628, prior_entropy: 0.1666, recall: 0.9628, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1869, root_relative_squared_error: 1.2836, scimark_benchmark: 898.0638,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9955, kappa: 0.9949, kb_relative_information_score: 10939.7289, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 3.3208, recall: 0.9955, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.1005, scimark_benchmark: 897.1589,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set page-blocks
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9718, kappa: 0.8516, kb_relative_information_score: 4400.3254, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9717, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.5213, scimark_benchmark: 944.432,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set hepatitis
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.8396, kappa: 0.5134, kb_relative_information_score: 66.2189, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9919, scimark_benchmark: 939.3173,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(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, scimark_benchmark: 925.5344,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8146, kappa: 0.7928, kb_relative_information_score: 1654.8521, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.169, root_relative_squared_error: 0.5634, scimark_benchmark: 941.2356,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6054, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9326, kappa: 0.8798, kb_relative_information_score: 539.056, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9343, predictive_accuracy: 0.9312, prior_entropy: 1.3212, recall: 0.9312, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4643, scimark_benchmark: 944.8425,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.5907, kappa: 0.4783, kb_relative_information_score: 772.2346, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.586, predictive_accuracy: 0.5977, prior_entropy: 2.5035, recall: 0.5977, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2813, root_relative_squared_error: 1.0092, scimark_benchmark: 908.9076,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.6796, kappa: 0.59, kb_relative_information_score: 458.1269, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6805, predictive_accuracy: 0.6807, prior_entropy: 2.2629, recall: 0.6807, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.354, root_relative_squared_error: 0.8947, scimark_benchmark: 936.4962,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.694, kappa: 0.66, kb_relative_information_score: 1413.7594, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6946, predictive_accuracy: 0.694, prior_entropy: 3.3219, recall: 0.694, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.757,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8392, kappa: 0.8189, kb_relative_information_score: 1671.6278, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8426, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812, scimark_benchmark: 934.045,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9931, kappa: 0.9848, kb_relative_information_score: 1693.5597, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 1.2099, recall: 0.9931, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.1623, scimark_benchmark: 945.7526,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8281, kappa: 0.8067, kb_relative_information_score: 1657.8428, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.831, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5863, scimark_benchmark: 929.9513,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set haberman
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.6573, kappa: 0.1129, kb_relative_information_score: 10.705, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6547, predictive_accuracy: 0.6601, prior_entropy: 0.836, recall: 0.6601, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5572, root_relative_squared_error: 1.263, scimark_benchmark: 922.973,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 1699.1016, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1518, scimark_benchmark: 945.8983,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.5595, kappa: 0.4353, kb_relative_information_score: 733.7973, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5567, predictive_accuracy: 0.5654, prior_entropy: 2.5035, recall: 0.5654, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9943, scimark_benchmark: 941.3237,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9141, kappa: 0.895, kb_relative_information_score: 5771.9873, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9137, predictive_accuracy: 0.9151, prior_entropy: 2.4836, recall: 0.9151, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4521,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9505, kappa: 0.945, kb_relative_information_score: 1900.7074, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9506, predictive_accuracy: 0.9505, prior_entropy: 3.3219, recall: 0.9505, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3214, scimark_benchmark: 920.6608,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -636.5144, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0807, root_relative_squared_error: 1.4449, scimark_benchmark: 940.2268,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(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, scimark_benchmark: 941.5539,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 1699.1016, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 1.2099, recall: 0.9936, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1518, scimark_benchmark: 919.7995,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set arrhythmia
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.6928, kappa: 0.549, kb_relative_information_score: 233.9036, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6843, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.9284, scimark_benchmark: 942.8401,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9555, kappa: 0.8897, kb_relative_information_score: 782.3046, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 1.2149, recall: 0.9555, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.46, scimark_benchmark: 926.797,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9414, kappa: 0.9358, kb_relative_information_score: 643.8706, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9427, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.353, scimark_benchmark: 938.081,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.6909, kappa: 0.6561, kb_relative_information_score: 1411.1579, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.692, predictive_accuracy: 0.6905, prior_entropy: 3.3219, recall: 0.6905, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7635, scimark_benchmark: 949.4771,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set haberman
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6691, kappa: 0.1401, kb_relative_information_score: 21.4925, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6654, predictive_accuracy: 0.6732, prior_entropy: 0.836, recall: 0.6732, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.1617, scimark_benchmark: 943.7786,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set heart-h
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.8183, kappa: 0.6033, kb_relative_information_score: 162.9011, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8179, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.883, scimark_benchmark: 896.203,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9835, kappa: 0.9816, kb_relative_information_score: 5524.1583, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.057, root_relative_squared_error: 0.19, scimark_benchmark: 942.4188,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set sonar
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8022, kappa: 0.6022, kb_relative_information_score: 125.5643, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8034, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8812, scimark_benchmark: 937.0612,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7884, kappa: 0.5707, kb_relative_information_score: 154.5362, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7884, predictive_accuracy: 0.7889, prior_entropy: 0.9912, recall: 0.7889, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.893, scimark_benchmark: 937.4798,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9955, kappa: 0.9889, kb_relative_information_score: 867.5124, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9956, predictive_accuracy: 0.9955, prior_entropy: 1.2149, recall: 0.9955, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.1492, scimark_benchmark: 579.9541,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(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, scimark_benchmark: 923.11,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 922.3055, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2581, scimark_benchmark: 945.2103,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(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, scimark_benchmark: 945.6737,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(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, scimark_benchmark: 923.7999,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set vote
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9632, kappa: 0.9224, kb_relative_information_score: 399.2722, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.9627, recall: 0.9632, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3895, scimark_benchmark: 873.3293,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set nursery
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9989, kappa: 0.9984, kb_relative_information_score: 12914.1503, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9988, predictive_accuracy: 0.9989, prior_entropy: 1.7176, recall: 0.9989, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0207, root_relative_squared_error: 0.056, scimark_benchmark: 943.8465,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8032, kappa: 0.7772, kb_relative_information_score: 1591.4049, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8072, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6496, scimark_benchmark: 907.5623,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 863.7881, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1667, scimark_benchmark: 939.4412,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9785, kappa: 0.9761, kb_relative_information_score: 1955.6422, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9787, predictive_accuracy: 0.9785, prior_entropy: 3.3219, recall: 0.9785, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.065, root_relative_squared_error: 0.2168, scimark_benchmark: 945.643,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9615, kappa: 0.9151, kb_relative_information_score: 637.2052, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9618, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4045, scimark_benchmark: 921.6354,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 863.7881, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1667, scimark_benchmark: 945.874,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8481, kappa: 0.7982, kb_relative_information_score: 690.723, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8476, predictive_accuracy: 0.8487, prior_entropy: 1.9991, recall: 0.8487, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.6289, scimark_benchmark: 947.111,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9601, kappa: 0.94, kb_relative_information_score: 141.3055, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9604, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3493, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 141.3121, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, recall: 0.96, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3511, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9469, kappa: 0.92, kb_relative_information_score: 138.7017, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9472, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4025, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set hepatitis
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.8341, kappa: 0.4996, kb_relative_information_score: 64.1357, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9811, scimark_benchmark: 908.449,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set labor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9298, kappa: 0.8459, kb_relative_information_score: 48.9338, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9298, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4876, scimark_benchmark: 944.6527,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8982, kappa: 0.8746, kb_relative_information_score: 5663.7758, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8981, predictive_accuracy: 0.8984, prior_entropy: 2.4836, recall: 0.8984, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.4721, scimark_benchmark: 923.4593,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9944, kappa: 0.9861, kb_relative_information_score: 865.8549, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0131, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1594, scimark_benchmark: 576.0186,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set colic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8209, kappa: 0.6163, kb_relative_information_score: 220.6369, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8212, predictive_accuracy: 0.8207, prior_entropy: 0.9509, recall: 0.8207, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8437, scimark_benchmark: 944.2152,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 905.8414, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, scimark_benchmark: 946.879,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5879, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -622.6093, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0798, root_relative_squared_error: 1.4299, scimark_benchmark: 919.9723,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 3172.2217, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1159, scimark_benchmark: 936.9125,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6051, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635, scimark_benchmark: 948.935,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 919.5184, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.267, scimark_benchmark: 945.1746,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set sonar
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8312, kappa: 0.6604, kb_relative_information_score: 137.5655, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8325, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8203, scimark_benchmark: 947.9345,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9942, kappa: 0.9874, kb_relative_information_score: 1698.5286, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9943, predictive_accuracy: 0.9942, prior_entropy: 1.2099, recall: 0.9942, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.1587, scimark_benchmark: 943.7272,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set breast-cancer
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6923, kappa: 0.245, kb_relative_information_score: 65.6641, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.687, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.1379, scimark_benchmark: 942.6424,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.6933, kappa: 0.6589, kb_relative_information_score: 1411.4218, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6944, predictive_accuracy: 0.693, prior_entropy: 3.3219, recall: 0.693, relative_absolute_error: 0.3355, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.764, scimark_benchmark: 942.7573,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set waveform-5000
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8445, kappa: 0.7669, kb_relative_information_score: 3938.1506, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8446, predictive_accuracy: 0.8446, prior_entropy: 1.5849, recall: 0.8446, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6623, scimark_benchmark: 945.8265,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3173.8094, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1175, scimark_benchmark: 925.6397,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set labor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9649, kappa: 0.923, kb_relative_information_score: 52.2126, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.9393, recall: 0.9649, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3925, scimark_benchmark: 939.4029,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9801, kappa: 0.9561, kb_relative_information_score: 912.3413, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2947,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8982, kappa: 0.8746, kb_relative_information_score: 5663.7758, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8981, predictive_accuracy: 0.8984, prior_entropy: 2.4836, recall: 0.8984, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.4721, scimark_benchmark: 947.46,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 905.8414, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, scimark_benchmark: 946.7155,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.937, kappa: 0.931, kb_relative_information_score: 641.6051, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.3635, scimark_benchmark: 946.4529,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8043, kappa: 0.7772, kb_relative_information_score: 1587.5363, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8096, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6559, scimark_benchmark: 945.5146,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set dermatology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9617, kappa: 0.9521, kb_relative_information_score: 348.2109, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 2.4378, recall: 0.9617, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2982, scimark_benchmark: 927.9328,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set ecoli
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8422, kappa: 0.7901, kb_relative_information_score: 255.3478, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8379, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6422, scimark_benchmark: 935.0724,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set arrhythmia
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.6991, kappa: 0.5585, kb_relative_information_score: 242.4359, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6904, predictive_accuracy: 0.7146, prior_entropy: 2.5222, recall: 0.7146, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.8969, scimark_benchmark: 933.1822,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4224, f_measure: 0.5116, kappa: -0.2245, kb_relative_information_score: -5.347, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4741, predictive_accuracy: 0.5556, prior_entropy: 1.0305, recall: 0.5556, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.3215, scimark_benchmark: 935.0323,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set audiology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8478, kappa: 0.8349, kb_relative_information_score: 172.1844, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8445, predictive_accuracy: 0.8584, prior_entropy: 3.6349, recall: 0.8584, relative_absolute_error: 0.1637, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.108, root_relative_squared_error: 0.5703, scimark_benchmark: 943.8831,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.9901, kappa: -0.0046, kb_relative_information_score: -634.5857, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9897, prior_entropy: 0.0626, recall: 0.9897, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.0804, root_relative_squared_error: 1.4398, scimark_benchmark: 908.8152,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set breast-cancer
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6894, kappa: 0.2388, kb_relative_information_score: 64.767, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.6841, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.521, root_relative_squared_error: 1.1399, scimark_benchmark: 911.2244,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set heart-c
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8049, kappa: 0.6063, kb_relative_information_score: 168.4141, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.805, predictive_accuracy: 0.8053, prior_entropy: 1.0792, recall: 0.8053, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.8688,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8647, kappa: 0.7427, kb_relative_information_score: 108.4402, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8656, predictive_accuracy: 0.8649, prior_entropy: 1.2818, recall: 0.8649, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.253, root_relative_squared_error: 0.6951, scimark_benchmark: 905.7116,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set braziltourism
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.6621, kappa: 0.0772, kb_relative_information_score: 25.5572, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6467, predictive_accuracy: 0.6796, prior_entropy: 1.1781, recall: 0.6796, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2967, root_relative_squared_error: 1.2762, scimark_benchmark: 896.1565,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tae
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.6623, kappa: 0.4935, kb_relative_information_score: 80.6583, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.663, predictive_accuracy: 0.6623, prior_entropy: 1.5845, recall: 0.6623, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9448, scimark_benchmark: 916.5704,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4429, f_measure: 0.5181, kappa: -0.2103, kb_relative_information_score: -5.3944, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4772, predictive_accuracy: 0.5667, prior_entropy: 1.0305, recall: 0.5667, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.3223, scimark_benchmark: 942.5679,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set ionosphere
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9397, kappa: 0.8679, kb_relative_information_score: 303.5461, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9405, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5096, scimark_benchmark: 930.7698,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9025, kappa: 0.8805, kb_relative_information_score: 5695.2586, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9021, predictive_accuracy: 0.9033, prior_entropy: 2.4836, recall: 0.9033, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4689, scimark_benchmark: 938.0404,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.6993, kappa: 0.6661, kb_relative_information_score: 1425.5516, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6997, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.7349, scimark_benchmark: 928.8801,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set tae
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.676, kappa: 0.5131, kb_relative_information_score: 80.9839, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6767, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9302, scimark_benchmark: 944.2524,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set heart-c
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8112, kappa: 0.6187, kb_relative_information_score: 178.8349, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.812, predictive_accuracy: 0.8119, prior_entropy: 1.0792, recall: 0.8119, relative_absolute_error: 0.3679, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8544, scimark_benchmark: 902.2003,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set primary-tumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.3839, kappa: 0.3115, kb_relative_information_score: 77.96, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3807, predictive_accuracy: 0.3894, prior_entropy: 3.7542, recall: 0.3894, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.9338, scimark_benchmark: 936.9315,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8483, kappa: 0.7982, kb_relative_information_score: 691.916, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8479, predictive_accuracy: 0.8487, prior_entropy: 1.9991, recall: 0.8487, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.6332, scimark_benchmark: 927.9287,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_LMT(1) on task Supervised Classification on data set hepatitis
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 66.0151, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.979, scimark_benchmark: 925.3661,