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Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set MegaWatt1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8429, kb_relative_information_score: 66.8768, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1931, number_of_instances: 253, precision: 0.798, predictive_accuracy: 0.8933, prior_entropy: 0.4993, recall: 0.8933, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3088, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.058,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set analcatdata_michiganacc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.7083, kappa: 0.4156, kb_relative_information_score: 46.922, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.7402, predictive_accuracy: 0.7222, prior_entropy: 0.9914, recall: 0.7222, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0607,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set machine_cpu
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6188, kb_relative_information_score: 52.3583, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.5359, predictive_accuracy: 0.7321, prior_entropy: 0.8417, recall: 0.7321, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.1688,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set vertebra-column
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7985, kappa: 0.5274, kb_relative_information_score: 164.8355, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.802, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9411,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set strikes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7248, kappa: 0.4521, kb_relative_information_score: 282.9684, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.7309, predictive_accuracy: 0.7264, prior_entropy: 1, recall: 0.7264, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5231, root_relative_squared_error: 1.0462,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c4_100_100
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5475, kappa: 0.0913, kb_relative_information_score: 9.5391, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5477, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3441,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set chscase_census2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.499, kappa: 0.0111, kb_relative_information_score: 5.8727, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.506, predictive_accuracy: 0.5075, prior_entropy: 0.9998, recall: 0.5075, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c3_100_5
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.8285, kappa: 0.6508, kb_relative_information_score: 65.2705, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.8313, predictive_accuracy: 0.83, prior_entropy: 0.99, recall: 0.83, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8306,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set grub-damage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.401, kappa: 0.1896, kb_relative_information_score: 42.8183, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.3638, number_of_instances: 155, precision: 0.3956, predictive_accuracy: 0.4194, prior_entropy: 1.9281, recall: 0.4194, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.2639,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set JapaneseVowels
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9784, kappa: 0.9197, kb_relative_information_score: 8994.3889, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9783, predictive_accuracy: 0.9785, prior_entropy: 0.6393, recall: 0.9785, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3978,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set strikes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.7356, kappa: 0.4745, kb_relative_information_score: 296.9697, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.744, predictive_accuracy: 0.7376, prior_entropy: 1, recall: 0.7376, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0245,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.821, kappa: 0.6718, kb_relative_information_score: 89.8495, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8236, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.7985,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9833, kappa: 0.9627, kb_relative_information_score: 577.5227, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9836, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2718,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set socmob
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.955, kappa: 0.8692, kb_relative_information_score: 982.151, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.7637, recall: 0.955, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5108,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c1_100_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6297, kappa: 0.2564, kb_relative_information_score: 25.6192, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6296, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2187,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set JapaneseVowels
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9784, kappa: 0.9197, kb_relative_information_score: 8994.3889, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9783, predictive_accuracy: 0.9785, prior_entropy: 0.6393, recall: 0.9785, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3978,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c4_1000_100
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6437, kappa: 0.275, kb_relative_information_score: 270.8962, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.6435, predictive_accuracy: 0.644, prior_entropy: 0.9882, recall: 0.644, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.2032,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8521, kappa: 0.8264, kb_relative_information_score: 5290.0887, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8503, predictive_accuracy: 0.8603, prior_entropy: 2.4836, recall: 0.8603, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5871,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set sonar
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8487, kappa: 0.6968, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8615, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set tae
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.5354, kappa: 0.3056, kb_relative_information_score: 55.216, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5415, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1795,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.831, kappa: 0.6587, kb_relative_information_score: 97.3404, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8309, predictive_accuracy: 0.8311, prior_entropy: 0.9937, recall: 0.8311, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8257,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set mu284
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9437, kappa: 0.8873, kb_relative_information_score: 252, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 1, recall: 0.9437, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4747,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set SPECT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8164, kappa: 0.4188, kb_relative_information_score: 99.8353, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3284, number_of_instances: 267, precision: 0.8125, predictive_accuracy: 0.824, prior_entropy: 0.738, recall: 0.824, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4044, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.0374,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set bank32nh
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.8189, kappa: 0.5732, kb_relative_information_score: 4538.767, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4281, number_of_instances: 8192, precision: 0.8179, predictive_accuracy: 0.8208, prior_entropy: 0.8937, recall: 0.8208, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.915,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9073, kappa: 0.8926, kb_relative_information_score: 715.505, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9337, predictive_accuracy: 0.9275, prior_entropy: 1.7898, recall: 0.9275, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4594,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c4_500_100
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.6367, kappa: 0.2588, kb_relative_information_score: 128.7542, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6361, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.214,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.7894, kappa: 0.2943, kb_relative_information_score: 189.5434, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8008, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0456,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set autoUniv-au7-700
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.2486, kappa: -0.003, kb_relative_information_score: 68.1863, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.2447, predictive_accuracy: 0.3471, prior_entropy: 1.5824, recall: 0.3471, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6597, root_relative_squared_error: 1.4007,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set mu284
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.9366, kappa: 0.8732, kb_relative_information_score: 248, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9367, predictive_accuracy: 0.9366, prior_entropy: 1, recall: 0.9366, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.5035,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set chscase_census2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, f_measure: 0.4823, kappa: -0.0281, kb_relative_information_score: -10.1324, mean_absolute_error: 0.5125, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4856, predictive_accuracy: 0.4875, prior_entropy: 0.9998, recall: 0.4875, relative_absolute_error: 1.0252, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7159, root_relative_squared_error: 1.4319,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c4_250_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.6287, kappa: 0.255, kb_relative_information_score: 61.9161, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.631, predictive_accuracy: 0.628, prior_entropy: 0.9945, recall: 0.628, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2246,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_500_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.808, kappa: 0.6158, kb_relative_information_score: 307.84, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4997, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9996, recall: 0.808, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8766,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set ailerons
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8792, kappa: 0.7526, kb_relative_information_score: 10316.0957, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4884, number_of_instances: 13750, precision: 0.8792, predictive_accuracy: 0.8793, prior_entropy: 0.9832, recall: 0.8793, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4942, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7031,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set BNG(cmc,nominal,55296)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.5161, kappa: 0.2491, kb_relative_information_score: 17056.991, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4309, number_of_instances: 55296, precision: 0.5166, predictive_accuracy: 0.5163, prior_entropy: 1.5394, recall: 0.5163, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4642, root_mean_squared_error: 0.5679, root_relative_squared_error: 1.2234,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set page-blocks
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.8881, kappa: 0.3129, kb_relative_information_score: 1839.0705, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8785, predictive_accuracy: 0.9169, prior_entropy: 0.6391, recall: 0.9169, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.9359,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_1000_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.8439, kappa: 0.6879, kb_relative_information_score: 687.9838, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8444, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set energy-efficiency
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.0186, kappa: 0.008, kb_relative_information_score: 34.6782, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.05, number_of_instances: 768, precision: 0.0568, predictive_accuracy: 0.0716, prior_entropy: 4.7568, recall: 0.0716, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.1581, root_mean_squared_error: 0.221, root_relative_squared_error: 1.3981,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set wholesale-customers
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.8256, kappa: 0.5944, kb_relative_information_score: 258.5703, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4374, number_of_instances: 440, precision: 0.8261, predictive_accuracy: 0.8295, prior_entropy: 0.9082, recall: 0.8295, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8831,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set house_16H
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.8708, kappa: 0.6863, kb_relative_information_score: 15283.1515, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8704, predictive_accuracy: 0.8725, prior_entropy: 0.8764, recall: 0.8725, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7822,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set bodyfat
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7972, kappa: 0.5947, kb_relative_information_score: 149.9628, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.7989, predictive_accuracy: 0.7976, prior_entropy: 0.9998, recall: 0.7976, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.8998,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set autoUniv-au7-1100
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1204, kb_relative_information_score: 143.572, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3154, number_of_instances: 1100, precision: 0.0769, predictive_accuracy: 0.2773, prior_entropy: 2.281, recall: 0.2773, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.3971, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.354,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7746, kb_relative_information_score: 568.7939, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.8454, prior_entropy: 0.622, recall: 0.8454, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3932, root_relative_squared_error: 1.0876,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set analcatdata_creditscore
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.98, kappa: 0.9493, kb_relative_information_score: 93.7627, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.8479, recall: 0.98, relative_absolute_error: 0.0505, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3185,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set prnn_synth
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 186, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7155,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set lowbwt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8358, kappa: 0.6769, kb_relative_information_score: 128.8009, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8782, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7977,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-d3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9178, kb_relative_information_score: 1732.2729, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0428, number_of_instances: 9285, precision: 0.8923, predictive_accuracy: 0.9446, prior_entropy: 0.4114, recall: 0.9446, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.1461, root_mean_squared_error: 0.1488, root_relative_squared_error: 1.0188,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set analcatdata_supreme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c4_100_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5217, kappa: 0.04, kb_relative_information_score: 2.0142, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5272, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3957,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.876, kappa: 0.7229, kb_relative_information_score: 747.9008, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8761, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c3_1000_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7844, kappa: 0.5643, kb_relative_information_score: 559.7831, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7854, predictive_accuracy: 0.784, prior_entropy: 0.9906, recall: 0.784, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9356,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-b2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: 1896.4307, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.0126,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 95,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set arsenic-male-bladder
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.9404, kappa: 0.0768, kb_relative_information_score: 145.1892, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9606, predictive_accuracy: 0.9589, prior_entropy: 0.2628, recall: 0.9589, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2028, root_relative_squared_error: 1.0006,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set vertebra-column
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.806, kappa: 0.5457, kb_relative_information_score: 169.6606, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8088, predictive_accuracy: 0.8129, prior_entropy: 0.9084, recall: 0.8129, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9253,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set glass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set CostaMadre1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8118, kb_relative_information_score: 79.5234, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7597, predictive_accuracy: 0.8716, prior_entropy: 0.5598, recall: 0.8716, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.0711,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set scene
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9857, kappa: 0.9509, kb_relative_information_score: 2266.4192, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.6786, recall: 0.9859, relative_absolute_error: 0.048, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.31,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-a4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8541, kb_relative_information_score: 303.818, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0751, number_of_instances: 1515, precision: 0.8118, predictive_accuracy: 0.901, prior_entropy: 0.6736, recall: 0.901, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.1927, root_mean_squared_error: 0.199, root_relative_squared_error: 1.0327,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_100_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.6895, kappa: 0.379, kb_relative_information_score: 37.9645, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6903, predictive_accuracy: 0.69, prior_entropy: 0.9997, recall: 0.69, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1138,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-b5
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9418, kb_relative_information_score: 1798.5041, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0305, number_of_instances: 9989, precision: 0.9234, predictive_accuracy: 0.961, prior_entropy: 0.305, recall: 0.961, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.1233, root_mean_squared_error: 0.125, root_relative_squared_error: 1.0137,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8522, kappa: 0.7009, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set veteran
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fertility
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set house_16H
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8699, kappa: 0.684, kb_relative_information_score: 15239.2601, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8695, predictive_accuracy: 0.8718, prior_entropy: 0.8764, recall: 0.8718, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7845,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set heart-h
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 65.1469, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2239, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.6623, recall: 0.6395, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.139,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_100_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.82, kappa: 0.6364, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set teachingAssistant
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5094, kappa: 0.2773, kb_relative_information_score: 51.2321, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.531, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.2045,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_250_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 170, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9455, kappa: 0.8908, kb_relative_information_score: 2841.2853, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4993, number_of_instances: 3190, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.999, recall: 0.9455, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4674,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set kc1-binary
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.7382, kappa: 0.4898, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.78, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9974, kappa: 0.9893, kb_relative_information_score: 2276.2344, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2451, number_of_instances: 2310, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.5925, recall: 0.9974, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1456,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set BNG(breast-w)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9829, kappa: 0.9623, kb_relative_information_score: 37811.7517, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.983, predictive_accuracy: 0.9829, prior_entropy: 0.9287, recall: 0.9829, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.275,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set chscase_geyser1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8939, kappa: 0.7761, kb_relative_information_score: 172.9439, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9033, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.658,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set vertebra-column
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.8304, kappa: 0.6039, kb_relative_information_score: 186.5483, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8327, predictive_accuracy: 0.8355, prior_entropy: 0.9084, recall: 0.8355, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8677,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.4508, kappa: 0.2058, kb_relative_information_score: 406.1769, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4063, predictive_accuracy: 0.5119, prior_entropy: 1.5392, recall: 0.5119, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.2291,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set mammography
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9848, kappa: 0.6419, kb_relative_information_score: 5721.9129, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0455, number_of_instances: 11183, precision: 0.9844, predictive_accuracy: 0.9858, prior_entropy: 0.1598, recall: 0.9858, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.7913,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9565, kappa: 0.9293, kb_relative_information_score: 2975.7696, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9565, predictive_accuracy: 0.9564, prior_entropy: 1.4804, recall: 0.9564, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3764,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.4506, kappa: 0.458, kb_relative_information_score: 9445.6701, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.486, predictive_accuracy: 0.479, prior_entropy: 4.6998, recall: 0.479, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2002, root_relative_squared_error: 1.0411,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set glass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5056, kb_relative_information_score: 41.9577, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.4158, predictive_accuracy: 0.6449, prior_entropy: 0.9397, recall: 0.6449, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2453,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4514, kb_relative_information_score: 27.3245, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.3614, predictive_accuracy: 0.6011, prior_entropy: 0.971, recall: 0.6011, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.6316, root_relative_squared_error: 1.2898,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8754, kappa: 0.8596, kb_relative_information_score: 2009.9775, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8834, predictive_accuracy: 0.8797, prior_entropy: 2.8074, recall: 0.8797, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.5299,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-d3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9178, kb_relative_information_score: 1732.2729, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0428, number_of_instances: 9285, precision: 0.8923, predictive_accuracy: 0.9446, prior_entropy: 0.4114, recall: 0.9446, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.1461, root_mean_squared_error: 0.1488, root_relative_squared_error: 1.0188,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fried
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8914, kappa: 0.7828, kb_relative_information_score: 31915.9432, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.8921, predictive_accuracy: 0.8914, prior_entropy: 1, recall: 0.8914, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.659,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8741, kb_relative_information_score: 137.8129, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2919, root_relative_squared_error: 1.0455,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set mc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set puma8NH
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8314, kappa: 0.6628, kb_relative_information_score: 5429.923, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8317, predictive_accuracy: 0.8314, prior_entropy: 1, recall: 0.8314, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8212,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set boston_corrected
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7443, kappa: 0.4843, kb_relative_information_score: 252.8935, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.493, number_of_instances: 506, precision: 0.7723, predictive_accuracy: 0.7549, prior_entropy: 0.9899, recall: 0.7549, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9971,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9825, kappa: 0.9031, kb_relative_information_score: 9659.3123, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.482, recall: 0.983, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4271,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c1_100_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6498, kappa: 0.2966, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6496, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1854,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9495, kappa: 0.9439, kb_relative_information_score: 1894.3785, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9505, predictive_accuracy: 0.9495, prior_entropy: 3.3219, recall: 0.9495, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.335,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set one-hundred-plants-shape
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.2621, kappa: 0.2696, kb_relative_information_score: 440.475, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2674, predictive_accuracy: 0.2769, prior_entropy: 6.6439, recall: 0.2769, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1203, root_relative_squared_error: 1.2087,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_500_5
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 367.9969, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266,
Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-a4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8541, kb_relative_information_score: 303.818, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0751, number_of_instances: 1515, precision: 0.8118, predictive_accuracy: 0.901, prior_entropy: 0.6736, recall: 0.901, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.1927, root_mean_squared_error: 0.199, root_relative_squared_error: 1.0327,