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Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9921, kappa: 0.9912, kb_relative_information_score: 10903.033, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 3.3208, recall: 0.9921, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.039, root_relative_squared_error: 0.13, scimark_benchmark: 932.8143,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8113, kappa: 0.6497, kb_relative_information_score: 97.5789, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8058, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.7488, scimark_benchmark: 936.5659,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set audiology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.832, kappa: 0.8193, kb_relative_information_score: 170.9514, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8274, predictive_accuracy: 0.8451, prior_entropy: 3.6349, recall: 0.8451, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.5989, scimark_benchmark: 926.6988,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7699, kappa: 0.5334, kb_relative_information_score: 146.4846, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7698, predictive_accuracy: 0.7704, prior_entropy: 0.9912, recall: 0.7704, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9345, scimark_benchmark: 887.3153,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9815, kappa: 0.9794, kb_relative_information_score: 5515.6732, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9815, predictive_accuracy: 0.9815, prior_entropy: 3.3218, recall: 0.9815, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1952, scimark_benchmark: 593.4042,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set colic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8301, kappa: 0.6329, kb_relative_information_score: 228.2955, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.83, predictive_accuracy: 0.8315, prior_entropy: 0.9509, recall: 0.8315, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8157, scimark_benchmark: 940.4464,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8483, kappa: 0.8028, kb_relative_information_score: 167.5286, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.2209, number_of_instances: 205, precision: 0.8513, predictive_accuracy: 0.8488, prior_entropy: 2.3268, recall: 0.8488, relative_absolute_error: 0.1864, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.587, scimark_benchmark: 933.1971,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9146, kappa: 0.8963, kb_relative_information_score: 5771.4267, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9144, predictive_accuracy: 0.9162, prior_entropy: 2.4836, recall: 0.9162, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.4475, scimark_benchmark: 943.9617,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9895, kappa: 0.9884, kb_relative_information_score: 10880.6264, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9896, predictive_accuracy: 0.9895, prior_entropy: 3.3208, recall: 0.9895, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1443, scimark_benchmark: 925.2389,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549, scimark_benchmark: 886.5094,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set ionosphere
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9394, kappa: 0.867, kb_relative_information_score: 302.3977, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4975, scimark_benchmark: 926.8613,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set dermatology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9643, kappa: 0.9556, kb_relative_information_score: 350.1253, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.9648, predictive_accuracy: 0.9645, prior_entropy: 2.4378, recall: 0.9645, relative_absolute_error: 0.044, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.2956, scimark_benchmark: 934.5753,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set page-blocks
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9704, kappa: 0.8431, kb_relative_information_score: 4341.9037, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9702, predictive_accuracy: 0.9706, prior_entropy: 0.6391, recall: 0.9706, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5381,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set nursery
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9982, kappa: 0.9975, kb_relative_information_score: 12905.033, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9981, predictive_accuracy: 0.9983, prior_entropy: 1.7176, recall: 0.9983, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.026, root_relative_squared_error: 0.0704, scimark_benchmark: 946.0985,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.9598, kappa: -0.0184, kb_relative_information_score: -112.0087, mean_absolute_error: 0.0365, 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: 0.8072, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1878, root_relative_squared_error: 1.2896, scimark_benchmark: 937.5359,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2994, f_measure: 0.5325, kappa: -0.1704, kb_relative_information_score: -14.911, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4977, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.1016, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.2514, scimark_benchmark: 941.3211,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7861, kappa: 0.7162, kb_relative_information_score: 629.6652, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7854, predictive_accuracy: 0.7872, prior_entropy: 1.9991, recall: 0.7872, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7508, scimark_benchmark: 924.7927,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9385, kappa: 0.9326, kb_relative_information_score: 640.1247, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.077, root_relative_squared_error: 0.3515, scimark_benchmark: 920.4758,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 636.1561, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4076, scimark_benchmark: 930.5579,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.5865, kappa: 0.4724, kb_relative_information_score: 774.0495, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5831, predictive_accuracy: 0.593, prior_entropy: 2.5035, recall: 0.593, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2814, root_relative_squared_error: 1.0098, scimark_benchmark: 947.3113,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9943, kappa: 0.9861, kb_relative_information_score: 864.7897, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.2149, recall: 0.9944, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.04, root_relative_squared_error: 0.1549,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 945.3834,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.731, kappa: 0.3463, kb_relative_information_score: 329.8257, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7276, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0837, scimark_benchmark: 924.4631,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9735, kappa: 0.9705, kb_relative_information_score: 5478.036, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9736, predictive_accuracy: 0.9735, prior_entropy: 3.3218, recall: 0.9735, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.2259, scimark_benchmark: 922.3826,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9842, kappa: 0.9824, kb_relative_information_score: 5528.4095, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1848, scimark_benchmark: 946.4336,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 6.821, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.5, number_of_instances: 10, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.36, root_relative_squared_error: 0.72, scimark_benchmark: 923.638,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9853, kappa: 0.9828, kb_relative_information_score: 2273.1164, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 2.8074, recall: 0.9853, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.1809, scimark_benchmark: 925.2304,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7765, kappa: 0.5462, kb_relative_information_score: 143.9495, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.7775, predictive_accuracy: 0.7778, prior_entropy: 0.9912, recall: 0.7778, relative_absolute_error: 0.4654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.933, scimark_benchmark: 942.4046,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set waveform-5000
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8295, kappa: 0.7447, kb_relative_information_score: 3850.0486, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8299, predictive_accuracy: 0.8298, prior_entropy: 1.5849, recall: 0.8298, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6894, scimark_benchmark: 944.7578,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.774, kappa: 0.5811, kb_relative_information_score: 325.4525, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7961, predictive_accuracy: 0.7536, prior_entropy: 1.3212, recall: 0.7536, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9216, scimark_benchmark: 903.4948,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set vote
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 393.5132, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4087, scimark_benchmark: 920.8771,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8583, kappa: 0.7326, kb_relative_information_score: 103.415, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8585, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7175, scimark_benchmark: 928.3391,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set primary-tumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 945.2177,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7734, kappa: 0.5774, kb_relative_information_score: 322.6775, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.7504, prior_entropy: 1.3212, recall: 0.7504, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9315, scimark_benchmark: 948.1844,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set postoperative-patient-data
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2928, f_measure: 0.5325, kappa: -0.1704, kb_relative_information_score: -15.2815, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.4977, predictive_accuracy: 0.5778, prior_entropy: 1.0305, recall: 0.5778, relative_absolute_error: 1.1054, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.2455, scimark_benchmark: 942.8249,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.2214, kappa: 0.1291, kb_relative_information_score: 793.5787, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2262, prior_entropy: 3.6268, recall: 0.2262, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2189, root_relative_squared_error: 1.2456, scimark_benchmark: 947.1161,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8583, kappa: 0.7326, kb_relative_information_score: 103.6822, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8585, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.7167, scimark_benchmark: 941.3249,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8547, kappa: 0.7054, kb_relative_information_score: 487.3211, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7611, scimark_benchmark: 936.8815,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.4734, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4337, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9273, kappa: 0.89, kb_relative_information_score: 135.6223, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9288, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4534, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.7124, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4324, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9603, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4309, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9339, kappa: 0.9, kb_relative_information_score: 136.9903, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.936, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4308, scimark_benchmark: 1273.5018,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 879.9788,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9852, kappa: 0.9828, kb_relative_information_score: 2273.3863, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9852, predictive_accuracy: 0.9853, prior_entropy: 2.8074, recall: 0.9853, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1833, scimark_benchmark: 942.1566,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7067, kappa: 0.6911, kb_relative_information_score: 1515.0973, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7087, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6631, scimark_benchmark: 944.9845,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set sonar
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 141.5919, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8455, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7959, scimark_benchmark: 939.3245,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.938, kappa: 0.9311, kb_relative_information_score: 1870.3439, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9383, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3622, scimark_benchmark: 946.0365,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.2214, kappa: 0.1291, kb_relative_information_score: 793.5787, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2262, prior_entropy: 3.6268, recall: 0.2262, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2189, root_relative_squared_error: 1.2456, scimark_benchmark: 942.3554,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set covertype
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8641, kappa: 0.7922, kb_relative_information_score: 84572.6692, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1853, number_of_instances: 110393, precision: 0.8634, predictive_accuracy: 0.8675, prior_entropy: 1.8698, recall: 0.8675, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.3044, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6126, scimark_benchmark: 944.6569,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.5804, kappa: 0.465, kb_relative_information_score: 766.2642, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5768, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2803, root_relative_squared_error: 1.0056, scimark_benchmark: 931.0717,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.5894, kappa: 0.476, kb_relative_information_score: 773.1186, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5863, predictive_accuracy: 0.5957, prior_entropy: 2.5035, recall: 0.5957, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.283, root_relative_squared_error: 1.0155, scimark_benchmark: 931.448,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.5079, kappa: 0.2382, kb_relative_information_score: 402.411, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5068, predictive_accuracy: 0.5092, prior_entropy: 1.5392, recall: 0.5092, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0643, scimark_benchmark: 945.9358,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8032, kappa: 0.6008, kb_relative_information_score: 161.3977, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4939, number_of_instances: 270, precision: 0.8033, predictive_accuracy: 0.8037, prior_entropy: 0.9912, recall: 0.8037, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8897, scimark_benchmark: 949.3373,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set primary-tumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, f_measure: 0.3864, kappa: 0.348, kb_relative_information_score: 15.7165, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.3625, predictive_accuracy: 0.4336, prior_entropy: 3.7542, recall: 0.4336, relative_absolute_error: 1.0503, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2049, root_relative_squared_error: 1.0189, scimark_benchmark: 943.4416,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9517, kappa: 0.8988, kb_relative_information_score: 4126.4881, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9517, predictive_accuracy: 0.9518, prior_entropy: 0.9674, recall: 0.9518, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4274, scimark_benchmark: 936.8319,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9938, kappa: 0.9931, kb_relative_information_score: 10921.0697, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 3.3208, recall: 0.9938, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.1169, scimark_benchmark: 947.868,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8258, kappa: 0.8061, kb_relative_information_score: 1643.5971, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8264, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6079, scimark_benchmark: 941.8757,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set audiology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.834, kappa: 0.8194, kb_relative_information_score: 171.7335, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8318, predictive_accuracy: 0.8451, prior_entropy: 3.6349, recall: 0.8451, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.6011, scimark_benchmark: 886.9431,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.5781, kappa: 0.4618, kb_relative_information_score: 766.9751, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5752, predictive_accuracy: 0.5842, prior_entropy: 2.5035, recall: 0.5842, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9863, scimark_benchmark: 939.6851,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set breast-cancer
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.6793, kappa: 0.2202, kb_relative_information_score: 58.198, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4183, number_of_instances: 286, precision: 0.675, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.127, scimark_benchmark: 925.6317,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9729, kappa: 0.9718, kb_relative_information_score: 19459.3742, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.973, predictive_accuracy: 0.9729, prior_entropy: 4.6998, recall: 0.9729, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.2355, scimark_benchmark: 943.8531,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.938, kappa: 0.9311, kb_relative_information_score: 1870.3439, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9383, predictive_accuracy: 0.938, prior_entropy: 3.3219, recall: 0.938, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.3622, scimark_benchmark: 930.7058,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(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: 941.9037,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.6532, kappa: 0.5561, kb_relative_information_score: 433.2334, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6546, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4426, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9313, scimark_benchmark: 939.4268,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 641.2158, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9297, recall: 0.9642, relative_absolute_error: 0.0787, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.396, scimark_benchmark: 882.474,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7883, kappa: 0.6089, kb_relative_information_score: 344.4471, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8065, predictive_accuracy: 0.7712, prior_entropy: 1.3212, recall: 0.7712, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.8652, scimark_benchmark: 945.8478,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.7654, kappa: 0.74, kb_relative_information_score: 1519.5223, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7656, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7051, scimark_benchmark: 946.7891,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set nursery
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9943, kappa: 0.9917, kb_relative_information_score: 12839.1346, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9943, predictive_accuracy: 0.9944, prior_entropy: 1.7176, recall: 0.9944, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.118, scimark_benchmark: 905.0007,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set vote
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9564, kappa: 0.9082, kb_relative_information_score: 393.5132, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9627, recall: 0.9563, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4087, scimark_benchmark: 934.4772,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3168.0329, 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: 0.0087, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.065, root_relative_squared_error: 0.1301, scimark_benchmark: 943.0528,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.821, kappa: 0.5022, kb_relative_information_score: 21562.619, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8192, predictive_accuracy: 0.8233, prior_entropy: 0.7939, recall: 0.8233, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9405, scimark_benchmark: 926.0924,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set arrhythmia
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.6877, kappa: 0.5473, kb_relative_information_score: 238.2753, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0855, number_of_instances: 452, precision: 0.6738, predictive_accuracy: 0.708, prior_entropy: 2.5222, recall: 0.708, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.2055, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.8836, scimark_benchmark: 944.2078,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set page-blocks
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9707, kappa: 0.8452, kb_relative_information_score: 4350.7784, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9706, predictive_accuracy: 0.9709, prior_entropy: 0.6391, recall: 0.9709, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5359, scimark_benchmark: 946.0184,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set haberman
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, f_measure: 0.6915, kappa: 0.166, kb_relative_information_score: 24.1628, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.39, number_of_instances: 306, precision: 0.6832, predictive_accuracy: 0.719, prior_entropy: 0.836, recall: 0.719, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4412, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0824, scimark_benchmark: 945.3413,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.73, kappa: 0.3416, kb_relative_information_score: 333.0063, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7267, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.1102, scimark_benchmark: 932.5664,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8403, kappa: 0.8228, kb_relative_information_score: 1670.4003, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8406, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.589, scimark_benchmark: 944.204,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set labor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 43.4464, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6593, scimark_benchmark: 920.0184,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set colic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8261, kappa: 0.6268, kb_relative_information_score: 218.2179, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.4662, number_of_instances: 368, precision: 0.8261, predictive_accuracy: 0.8261, prior_entropy: 0.9509, recall: 0.8261, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8105, scimark_benchmark: 943.63,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7271, kappa: 0.3347, kb_relative_information_score: 324.9677, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7236, predictive_accuracy: 0.736, prior_entropy: 0.8818, recall: 0.736, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.1053, scimark_benchmark: 941.9141,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set labor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8934, kappa: 0.7635, kb_relative_information_score: 42.9226, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.457, number_of_instances: 57, precision: 0.8944, predictive_accuracy: 0.8947, prior_entropy: 0.9393, recall: 0.8947, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6625, scimark_benchmark: 945.4056,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.5079, kappa: 0.2382, kb_relative_information_score: 402.411, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5068, predictive_accuracy: 0.5092, prior_entropy: 1.5392, recall: 0.5092, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0643, scimark_benchmark: 945.2082,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set audiology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.836, kappa: 0.8244, kb_relative_information_score: 172.9786, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.83, predictive_accuracy: 0.8496, prior_entropy: 3.6349, recall: 0.8496, relative_absolute_error: 0.1727, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.111, root_relative_squared_error: 0.5864, scimark_benchmark: 901.8423,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5798, kappa: 0.4619, kb_relative_information_score: 769.5681, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5772, predictive_accuracy: 0.5849, prior_entropy: 2.5035, recall: 0.5849, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.9608, scimark_benchmark: 906.5729,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9383, kappa: 0.9326, kb_relative_information_score: 640.4821, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.939, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3508, scimark_benchmark: 894.9059,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9216, kappa: 0.9051, kb_relative_information_score: 5816.1005, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9216, predictive_accuracy: 0.9233, prior_entropy: 2.4836, recall: 0.9233, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.4337, scimark_benchmark: 869.3914,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6568, kappa: 0.561, kb_relative_information_score: 435.3971, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6585, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9291, scimark_benchmark: 942.4148,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.8319, kappa: 0.6896, kb_relative_information_score: 95.4008, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8261, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.7623, scimark_benchmark: 933.3686,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.95, kappa: 0.8754, kb_relative_information_score: 772.8568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9503, predictive_accuracy: 0.9499, prior_entropy: 1.2149, recall: 0.9499, relative_absolute_error: 0.1241, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4765, scimark_benchmark: 921.708,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.7848, kappa: 0.7146, kb_relative_information_score: 626.9711, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7842, predictive_accuracy: 0.7861, prior_entropy: 1.9991, recall: 0.7861, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.7407, scimark_benchmark: 943.9899,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set audiology
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8534, kappa: 0.8404, kb_relative_information_score: 177.5008, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0724, number_of_instances: 226, precision: 0.8544, predictive_accuracy: 0.8628, prior_entropy: 3.6349, recall: 0.8628, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.5512, scimark_benchmark: 941.5186,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9966, kappa: 0.9917, kb_relative_information_score: 871.2408, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9968, predictive_accuracy: 0.9967, prior_entropy: 1.2149, recall: 0.9967, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1292, scimark_benchmark: 930.6254,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set ecoli
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8447, kappa: 0.7902, kb_relative_information_score: 256.2785, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8431, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6424, scimark_benchmark: 944.6179,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.7985, kappa: 0.6293, kb_relative_information_score: 357.1446, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.814, predictive_accuracy: 0.784, prior_entropy: 1.3212, recall: 0.784, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.8148, scimark_benchmark: 901.96,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set heart-c
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7986, kappa: 0.5939, kb_relative_information_score: 172.1332, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.8684, scimark_benchmark: 946.012,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set sonar
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8506, kappa: 0.6996, kb_relative_information_score: 145.443, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8513, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7582, scimark_benchmark: 932.2202,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set ecoli
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8509, kappa: 0.8021, kb_relative_information_score: 258.9136, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8491, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6227, scimark_benchmark: 939.0079,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 308.7158, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0217, scimark_benchmark: 925.3625,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9397, kappa: 0.9342, kb_relative_information_score: 641.4264, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.3493, scimark_benchmark: 947.2372,
Felicia West 11 years ago
ran flow weka.AdaBoostM1_J48(1) on task Supervised Classification on data set tae
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6703, kappa: 0.5028, kb_relative_information_score: 76.252, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6744, predictive_accuracy: 0.6689, prior_entropy: 1.5845, recall: 0.6689, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8891, scimark_benchmark: 593.4269,