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Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set auto_price
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9559, kappa: 0.9014, kb_relative_information_score: 142.4106, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9559, predictive_accuracy: 0.956, prior_entropy: 0.9264, recall: 0.956, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.443,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set energy-efficiency
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7281, kappa: 0.7179, kb_relative_information_score: 531.9041, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0515, number_of_instances: 768, precision: 0.7301, predictive_accuracy: 0.7318, prior_entropy: 4.7233, recall: 0.7318, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.1604, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.7509,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set JapaneseVowels
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9659, kappa: 0.8722, kb_relative_information_score: 8458.2739, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9661, predictive_accuracy: 0.9666, prior_entropy: 0.6393, recall: 0.9666, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.4962,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7911, kappa: 0.5825, kb_relative_information_score: 2432.9675, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7919, predictive_accuracy: 0.7912, prior_entropy: 1, recall: 0.7912, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9138,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c1_100_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.8, kappa: 0.5986, kb_relative_information_score: 59.7896, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.896,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set chscase_vine2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7768, kappa: 0.5491, kb_relative_information_score: 259.3455, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.4956, number_of_instances: 468, precision: 0.7839, predictive_accuracy: 0.7799, prior_entropy: 0.9937, recall: 0.7799, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9424,
Random Bot 9 years ago
ran flow classif.gbm(6) 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.gbm(6) on task Supervised Classification on data set chscase_census3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4585, f_measure: 0.367, kappa: -0.0856, kb_relative_information_score: -20.9661, mean_absolute_error: 0.525, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.3786, predictive_accuracy: 0.475, prior_entropy: 0.9989, recall: 0.475, relative_absolute_error: 1.0517, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7246, root_relative_squared_error: 1.4503,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1369.9285, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.027, root_relative_squared_error: 0.0543,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_100_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8597, kappa: 0.716, kb_relative_information_score: 71.5797, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7521,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_100_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 46, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0392,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set volcanoes-a4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.8816, kappa: 0.2862, kb_relative_information_score: 395.6466, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0751, number_of_instances: 1515, precision: 0.8725, predictive_accuracy: 0.9063, prior_entropy: 0.6736, recall: 0.9063, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.1927, root_mean_squared_error: 0.1936, root_relative_squared_error: 1.0047,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set seeds
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9331, kappa: 0.9, kb_relative_information_score: 190.833, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4444, number_of_instances: 210, precision: 0.933, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4472,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c1_1000_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.9279, kappa: 0.8544, kb_relative_information_score: 854.1289, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9281, predictive_accuracy: 0.928, prior_entropy: 0.9936, recall: 0.928, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.539,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set pm10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.5958, kappa: 0.1914, kb_relative_information_score: 95.8512, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4999, number_of_instances: 500, precision: 0.5959, predictive_accuracy: 0.596, prior_entropy: 0.9998, recall: 0.596, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2714,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c1_250_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8672, kappa: 0.7313, kb_relative_information_score: 183.1016, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4954, number_of_instances: 250, precision: 0.8698, predictive_accuracy: 0.868, prior_entropy: 0.9934, recall: 0.868, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.73,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_1000_5
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 799.9896, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set diggle_table_a2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9968, kappa: 0.9963, kb_relative_information_score: 308.7024, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9969, predictive_accuracy: 0.9968, prior_entropy: 3.1238, recall: 0.9968, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0855,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set BNG(breast-w)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c3_500_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8554, kappa: 0.7051, kb_relative_information_score: 352.5167, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 0.9882, recall: 0.856, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7652,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set rabe_266
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 97.916, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6063,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_1000_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.894, kappa: 0.7878, kb_relative_information_score: 787.8769, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.8941, predictive_accuracy: 0.894, prior_entropy: 0.9997, recall: 0.894, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6513,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 139.0474, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_500_5
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.89, kappa: 0.78, kb_relative_information_score: 389.9974, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.8903, predictive_accuracy: 0.89, prior_entropy: 1, recall: 0.89, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6633,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set visualizing_livestock
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.2893, kappa: 0.1346, kb_relative_information_score: 27.5218, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.277, predictive_accuracy: 0.3077, prior_entropy: 2.3219, recall: 0.3077, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.3156,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set sensory
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6973, kappa: 0.3724, kb_relative_information_score: 223.4585, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.7051, predictive_accuracy: 0.7066, prior_entropy: 0.9792, recall: 0.7066, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0994,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set cloud
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c3_500_50
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8318, kappa: 0.6573, kb_relative_information_score: 332.0396, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8475, predictive_accuracy: 0.836, prior_entropy: 0.9882, recall: 0.836, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8167,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c4_250_100
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 25.3921, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set no2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6392, kappa: 0.2797, kb_relative_information_score: 139.9917, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.641, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6, root_relative_squared_error: 1.2,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set tecator
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9456, kappa: 0.8885, kb_relative_information_score: 213.0847, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9463, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4708,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set analcatdata_wildcat
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5888, kappa: -0.0122, kb_relative_information_score: 36.7215, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.5052, predictive_accuracy: 0.7055, prior_entropy: 0.8699, recall: 0.7055, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.1979,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set chscase_census4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.4357, kappa: -0.1022, kb_relative_information_score: -36.5636, mean_absolute_error: 0.545, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.4425, predictive_accuracy: 0.455, prior_entropy: 0.9994, recall: 0.455, relative_absolute_error: 1.091, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7382, root_relative_squared_error: 1.4771,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set prnn_fglass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7951, kappa: 0.7292, kb_relative_information_score: 156.7516, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2465, number_of_instances: 214, precision: 0.795, predictive_accuracy: 0.8037, prior_entropy: 2.1997, recall: 0.8037, relative_absolute_error: 0.2654, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.7299,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 175.302, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1848,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set analcatdata_creditscore
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set analcatdata_apnea2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8028, kb_relative_information_score: 127.6793, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.7487, predictive_accuracy: 0.8653, prior_entropy: 0.5744, recall: 0.8653, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.075,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set disclosure_x_bias
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3571, kb_relative_information_score: 26.3653, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.692, root_relative_squared_error: 1.3852,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 140.4165, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_1000_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.884, kappa: 0.7679, kb_relative_information_score: 767.891, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4998, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9998, recall: 0.884, relative_absolute_error: 0.2321, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6813,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set cpu_act
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9301, kappa: 0.8332, kb_relative_information_score: 6749.3687, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9301, predictive_accuracy: 0.9307, prior_entropy: 0.8842, recall: 0.9307, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.5733,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set wind
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8596, kappa: 0.7179, kb_relative_information_score: 4716.6555, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 0.9969, recall: 0.8596, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.751,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c1_250_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9079, kappa: 0.8128, kb_relative_information_score: 203.0037, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9898, recall: 0.908, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.611,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set disclosure_x_bias
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5266, kappa: 0.0511, kb_relative_information_score: 34.3859, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5264, predictive_accuracy: 0.5272, prior_entropy: 0.9987, recall: 0.5272, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6876, root_relative_squared_error: 1.3765,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set heart-h
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.6197, kappa: 0.3159, kb_relative_information_score: 89.4669, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.2239, number_of_instances: 294, precision: 0.5847, predictive_accuracy: 0.6667, prior_entropy: 1.6623, recall: 0.6667, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.0952,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set seeds
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9188, kappa: 0.8786, kb_relative_information_score: 186.7258, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4444, number_of_instances: 210, precision: 0.9187, predictive_accuracy: 0.919, prior_entropy: 1.585, recall: 0.919, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4928,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c3_1000_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3985, kb_relative_information_score: 97.1876, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.3102, predictive_accuracy: 0.557, prior_entropy: 0.9906, recall: 0.557, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.3399,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7271, kappa: 0.7011, kb_relative_information_score: 1437.3825, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7253, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.7732,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9494, kappa: 0.9232, kb_relative_information_score: 165.6304, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3919,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set zoo
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4428, kb_relative_information_score: 14.723, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4826, number_of_instances: 101, precision: 0.3529, predictive_accuracy: 0.5941, prior_entropy: 0.9753, recall: 0.5941, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4911, root_mean_squared_error: 0.6371, root_relative_squared_error: 1.2974,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set mc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6919, kappa: 0.2727, kb_relative_information_score: 54.7813, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.7144, predictive_accuracy: 0.7267, prior_entropy: 0.9099, recall: 0.7267, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.1179,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c0_500_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 333.688, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8379, predictive_accuracy: 0.834, prior_entropy: 0.9991, recall: 0.834, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8154,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set chscase_census4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5047, kappa: 0.0082, kb_relative_information_score: 3.4879, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5046, predictive_accuracy: 0.505, prior_entropy: 0.9994, recall: 0.505, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4078,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set heart-h
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6134, kappa: 0.2956, kb_relative_information_score: 89.6151, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.2239, number_of_instances: 294, precision: 0.5959, predictive_accuracy: 0.6701, prior_entropy: 1.6623, recall: 0.6701, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3633, root_relative_squared_error: 1.0896,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c2_1000_10
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9238, kappa: 0.8433, kb_relative_information_score: 842.1786, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.924, predictive_accuracy: 0.924, prior_entropy: 0.9815, recall: 0.924, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5586,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c2_500_5
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8996, kappa: 0.7907, kb_relative_information_score: 394.4028, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8999, predictive_accuracy: 0.9, prior_entropy: 0.9735, recall: 0.9, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6444,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set chscase_funds
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.5892, kappa: 0.1755, kb_relative_information_score: 32.2284, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4983, number_of_instances: 185, precision: 0.5892, predictive_accuracy: 0.5892, prior_entropy: 0.9975, recall: 0.5892, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6409, root_relative_squared_error: 1.2842,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set prnn_fglass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.6067, kappa: 0.4829, kb_relative_information_score: 109.5646, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2465, number_of_instances: 214, precision: 0.6062, predictive_accuracy: 0.6355, prior_entropy: 2.1997, recall: 0.6355, relative_absolute_error: 0.493, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.9947,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set vertebra-column
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8297, kappa: 0.6119, kb_relative_information_score: 181.7232, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8305, predictive_accuracy: 0.829, prior_entropy: 0.9084, recall: 0.829, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8845,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set fri_c2_500_25
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.8724, kappa: 0.73, kb_relative_information_score: 365.0148, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8747, predictive_accuracy: 0.874, prior_entropy: 0.9664, recall: 0.874, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7271,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8747, kappa: 0.8622, kb_relative_information_score: 861.0713, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8763, predictive_accuracy: 0.8747, prior_entropy: 3.4594, recall: 0.8747, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.5249,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set bank8FM
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.945, kappa: 0.8857, kb_relative_information_score: 7241.7759, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.945, predictive_accuracy: 0.9451, prior_entropy: 0.9731, recall: 0.9451, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4777,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6211, f_measure: 0.8407, kappa: 0.3205, kb_relative_information_score: 771.5916, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8459, predictive_accuracy: 0.8658, prior_entropy: 0.622, recall: 0.8658, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.0133,
Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.2435, kappa: 0.1645, kb_relative_information_score: 862.382, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.24, predictive_accuracy: 0.2684, prior_entropy: 3.6268, recall: 0.2684, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2246, root_relative_squared_error: 1.2783,