OpenML

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set iris

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, average_cost: 8.1667, f_measure: 0.5473, kappa: 0.5, kb_relative_information_score: 81.5465, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.4785, predictive_accuracy: 0.6667, prior_entropy: 1.585, recall: 0.6667, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, total_cost: 1225,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set analcatdata_apnea1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.9412, kappa: 0.729, kb_relative_information_score: 319.0348, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.225, number_of_instances: 475, precision: 0.9407, predictive_accuracy: 0.9432, prior_entropy: 0.5574, recall: 0.9432, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7126,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9516, kappa: 0.927, kb_relative_information_score: 5051.5764, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9515, predictive_accuracy: 0.9518, prior_entropy: 1.7151, recall: 0.9518, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3815,

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.svm(9) on task Supervised Classification on data set robot-failures-lp4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7962, kappa: 0.6517, kb_relative_information_score: 76.4179, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8215, predictive_accuracy: 0.7949, prior_entropy: 1.3564, recall: 0.7949, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.866,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set seeds

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9093, kappa: 0.8643, kb_relative_information_score: 183.9877, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4444, number_of_instances: 210, precision: 0.9091, predictive_accuracy: 0.9095, prior_entropy: 1.585, recall: 0.9095, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.521,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c3_500_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.902, kappa: 0.8034, kb_relative_information_score: 401.6119, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9981, recall: 0.902, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6269,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set diggle_table_a2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.6325, kappa: 0.6856, kb_relative_information_score: 210.5452, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.574, predictive_accuracy: 0.7258, prior_entropy: 3.1238, recall: 0.7258, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.7884,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set tr11.wc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6185, kappa: 0.6015, kb_relative_information_score: 230.5647, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1808, number_of_instances: 414, precision: 0.5702, predictive_accuracy: 0.6908, prior_entropy: 2.7236, recall: 0.6908, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.3004, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8726,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set webdata_wXa

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.8258, kappa: 0.5096, kb_relative_information_score: 17728.9528, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8237, predictive_accuracy: 0.8314, prior_entropy: 0.7951, recall: 0.8314, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.9614,

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.boosting(8) on task Supervised Classification on data set bodyfat

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9921, kappa: 0.9841, kb_relative_information_score: 247.9979, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.9998, recall: 0.9921, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1782,

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.IBk(10) on task Supervised Classification on data set scene

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9478, kappa: 0.8261, kb_relative_information_score: 1883.488, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9497, predictive_accuracy: 0.9468, prior_entropy: 0.6786, recall: 0.9468, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6015,

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(7) on task Supervised Classification on data set visualizing_environmental

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6919, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242,

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.svm(9) on task Supervised Classification on data set oh15.wc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7599, kappa: 0.7298, kb_relative_information_score: 670.4312, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7731, predictive_accuracy: 0.7634, prior_entropy: 3.2121, recall: 0.7634, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7318,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set fri_c4_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.5259, kappa: 0.0385, kb_relative_information_score: 6.0952, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5274, predictive_accuracy: 0.54, prior_entropy: 0.99, recall: 0.54, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3663,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c4_500_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8379, kappa: 0.6746, kb_relative_information_score: 337.2615, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4984, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9978, recall: 0.838, relative_absolute_error: 0.325, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8063,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set visualizing_livestock

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.809, kappa: 0.3176, kb_relative_information_score: 53.9517, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.8478, predictive_accuracy: 0.8462, prior_entropy: 0.7158, recall: 0.8462, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9952,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set zoo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 100.8982, mean_prior_absolute_error: 0.4826, number_of_instances: 101, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9753, recall: 1, root_mean_prior_squared_error: 0.4911,

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.randomForest(50) on task Supervised Classification on data set anneal

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9922, kappa: 0.9807, kb_relative_information_score: 863.1887, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9925, predictive_accuracy: 0.9922, prior_entropy: 1.2149, recall: 0.9922, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.8284, kappa: 0.6134, kb_relative_information_score: 3014.461, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4478, number_of_instances: 5000, precision: 0.8279, predictive_accuracy: 0.8302, prior_entropy: 0.9233, recall: 0.8302, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.4732, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8709,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set delta_elevators

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8751, kappa: 0.7501, kb_relative_information_score: 7138.8936, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.5, number_of_instances: 9517, precision: 0.8751, predictive_accuracy: 0.8751, prior_entropy: 1, recall: 0.8751, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7069,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set disclosure_x_noise

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4666, f_measure: 0.4665, kappa: -0.0668, kb_relative_information_score: -44.0371, mean_absolute_error: 0.5332, mean_prior_absolute_error: 0.5, number_of_instances: 662, precision: 0.4666, predictive_accuracy: 0.4668, prior_entropy: 1, recall: 0.4668, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7302, root_relative_squared_error: 1.4605,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set acute-inflammations

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.916, kappa: 0.8328, kb_relative_information_score: 99.9915, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4999, number_of_instances: 120, precision: 0.9284, predictive_accuracy: 0.9167, prior_entropy: 0.9998, recall: 0.9167, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.5774,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set bank8FM

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9273, kappa: 0.8489, kb_relative_information_score: 6935.6285, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 0.9731, recall: 0.9274, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5493,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set vinnie

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8473, kappa: 0.6943, kb_relative_information_score: 263.8833, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8476, predictive_accuracy: 0.8474, prior_entropy: 0.9995, recall: 0.8474, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7816,

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.svm(9) on task Supervised Classification on data set fri_c4_100_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6503, kappa: 0.3, kb_relative_information_score: 29.6393, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6518, 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.svm(9) on task Supervised Classification on data set PieChart2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.9671, kappa: 0.0801, kb_relative_information_score: 10.9612, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.0433, number_of_instances: 745, precision: 0.9622, predictive_accuracy: 0.9732, prior_entropy: 0.1567, recall: 0.9732, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.145, root_mean_squared_error: 0.1638, root_relative_squared_error: 1.1302,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set abalone

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6545, kappa: 0.4841, kb_relative_information_score: 2204.049, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.653, predictive_accuracy: 0.6565, prior_entropy: 1.584, recall: 0.6565, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0156,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set ecoli

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9345, kappa: 0.8658, kb_relative_information_score: 290.5135, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9345, predictive_accuracy: 0.9345, prior_entropy: 0.9842, recall: 0.9345, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5175,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set energy-efficiency

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.0854, kappa: 0.0958, kb_relative_information_score: 93.4732, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.05, number_of_instances: 768, precision: 0.0807, predictive_accuracy: 0.1289, prior_entropy: 4.7568, recall: 0.1289, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.1581, root_mean_squared_error: 0.2141, root_relative_squared_error: 1.3543,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set robot-failures-lp5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.693, kappa: 0.634, kb_relative_information_score: 106.82, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.3119, number_of_instances: 164, precision: 0.6929, predictive_accuracy: 0.7195, prior_entropy: 2.2525, recall: 0.7195, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.3948, root_mean_squared_error: 0.335, root_relative_squared_error: 0.8485,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set oil_spill

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.9645, kappa: 0.5466, kb_relative_information_score: 386.7386, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.0846, number_of_instances: 937, precision: 0.9633, predictive_accuracy: 0.9669, prior_entropy: 0.2636, recall: 0.9669, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.2046, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.8892,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set arsenic-male-bladder

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.9445, kappa: 0.3695, kb_relative_information_score: -28.0653, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.9487, predictive_accuracy: 0.941, prior_entropy: 0.2628, recall: 0.941, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.243, root_relative_squared_error: 1.1986,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set seeds

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9382, kappa: 0.9071, kb_relative_information_score: 192.2021, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4444, number_of_instances: 210, precision: 0.9384, predictive_accuracy: 0.9381, prior_entropy: 1.585, recall: 0.9381, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4309,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set analcatdata_creditscore

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4911, f_measure: 0.6165, kappa: -0.0239, kb_relative_information_score: 16.8808, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.5842, predictive_accuracy: 0.7, prior_entropy: 0.8479, recall: 0.7, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.2337,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c3_100_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.6911, kappa: 0.3785, kb_relative_information_score: 36.7031, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6956, predictive_accuracy: 0.69, prior_entropy: 0.99, recall: 0.69, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1217,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set mfeat-pixel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9929, kappa: 0.9604, kb_relative_information_score: 1891.3545, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.2789,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set ecoli

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9613, kappa: 0.9209, kb_relative_information_score: 309.0952, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.489, number_of_instances: 336, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9842, recall: 0.9613, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.3978,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set breast-tissue

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.4394, kappa: 0.3359, kb_relative_information_score: 40.8685, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.2763, number_of_instances: 106, precision: 0.433, predictive_accuracy: 0.4528, prior_entropy: 2.5667, recall: 0.4528, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.3716, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.1492,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set kc1-top5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.9411, kappa: 0.4002, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.9384, predictive_accuracy: 0.9448, prior_entropy: 0.3323, recall: 0.9448, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.2284, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0284,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set fri_c0_250_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6805, kappa: 0.3669, kb_relative_information_score: 91.9855, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.6912, predictive_accuracy: 0.684, prior_entropy: 1, recall: 0.684, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1243,

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.avNNet(7) on task Supervised Classification on data set kc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8615, kb_relative_information_score: 118.575, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1716, number_of_instances: 458, precision: 0.821, predictive_accuracy: 0.9061, prior_entropy: 0.4551, recall: 0.9061, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.2917, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.0505,

Random Bot 9 years ago
ran flow classif.svm(8) on task Supervised Classification on data set heart-h

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.5873, kappa: 0.2497, kb_relative_information_score: 71.557, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2239, number_of_instances: 294, precision: 0.5788, predictive_accuracy: 0.6122, prior_entropy: 1.6623, recall: 0.6122, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.1812,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set prnn_crabs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.965, kappa: 0.93, kb_relative_information_score: 186, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.5, number_of_instances: 200, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 1, recall: 0.965, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3742,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set prnn_fglass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7887, kappa: 0.5368, kb_relative_information_score: 112.0267, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4584, number_of_instances: 214, precision: 0.7881, predictive_accuracy: 0.7897, prior_entropy: 0.9397, recall: 0.7897, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4786, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9582,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9849, kappa: 0.8477, kb_relative_information_score: 3824.2697, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9848, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.5362,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set mfeat-factors

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.randomForest(54) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9895, kappa: 0.9411, kb_relative_information_score: 5193.5783, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.183, number_of_instances: 5620, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.4751, recall: 0.9897, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.3024, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.336,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set fri_c4_500_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8591, kappa: 0.7123, kb_relative_information_score: 356.3931, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 0.9875, recall: 0.86, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7549,

Random Bot 9 years ago
ran flow classif.IBk(9) on task Supervised Classification on data set sensory

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.664, kappa: 0.3044, kb_relative_information_score: 188.0043, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4856, number_of_instances: 576, precision: 0.6738, predictive_accuracy: 0.6771, prior_entropy: 0.9792, recall: 0.6771, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4927, root_mean_squared_error: 0.5683, root_relative_squared_error: 1.1533,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set fri_c4_1000_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9098, kappa: 0.8178, kb_relative_information_score: 817.6675, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4956, number_of_instances: 1000, precision: 0.9102, predictive_accuracy: 0.91, prior_entropy: 0.9936, recall: 0.91, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6027,

Random Bot 9 years ago
ran flow classif.svm(8) on task Supervised Classification on data set leaf

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7522, kappa: 0.7412, kb_relative_information_score: 253.8175, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0644, number_of_instances: 340, precision: 0.7658, predictive_accuracy: 0.75, prior_entropy: 4.8945, recall: 0.75, relative_absolute_error: 0.2588, root_mean_prior_squared_error: 0.1794, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.7194,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set PopularKids

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5111, kappa: 0.1887, kb_relative_information_score: 136.2464, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4072, number_of_instances: 478, precision: 0.5315, predictive_accuracy: 0.5565, prior_entropy: 1.4668, recall: 0.5565, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4511, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.2054,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set fri_c4_1000_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8967, kappa: 0.7894, kb_relative_information_score: 789.0174, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8972, predictive_accuracy: 0.897, prior_entropy: 0.9882, recall: 0.897, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6472,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.6903, kappa: 0.2196, kb_relative_information_score: 124.7081, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6838, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.2049,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.8405, kappa: 0.645, kb_relative_information_score: 12255.1329, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8429, predictive_accuracy: 0.844, prior_entropy: 0.9355, recall: 0.844, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.395, root_relative_squared_error: 0.8272,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set analcatdata_germangss

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5733, f_measure: 0.3233, kappa: 0.1467, kb_relative_information_score: 90.8752, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.3112, predictive_accuracy: 0.36, prior_entropy: 2, recall: 0.36, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.3064,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set arsenic-male-lung

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9982, kappa: 0.9591, kb_relative_information_score: 497.3402, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.0471, number_of_instances: 559, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.1684, recall: 0.9982, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.1507, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.2806,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set eye_movements

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.6567, kappa: 0.4782, kb_relative_information_score: 5751.5543, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.6568, predictive_accuracy: 0.6566, prior_entropy: 1.5663, recall: 0.6566, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0214,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set analcatdata_dmft

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.198, kappa: 0.0434, kb_relative_information_score: 97.6025, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1966, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.3827,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set fri_c2_1000_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.9317, kappa: 0.8591, kb_relative_information_score: 858.2324, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4859, number_of_instances: 1000, precision: 0.9322, predictive_accuracy: 0.932, prior_entropy: 0.9796, recall: 0.932, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5291,

Random Bot 9 years ago
ran flow classif.svm(8) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9394, kb_relative_information_score: 4486.5698, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.078, number_of_instances: 20000, precision: 0.9204, predictive_accuracy: 0.9594, prior_entropy: 0.2455, recall: 0.9594, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.2016, root_relative_squared_error: 1.021,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set fri_c4_250_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.6125, kappa: 0.215, kb_relative_information_score: 51.9317, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.6132, predictive_accuracy: 0.612, prior_entropy: 0.9898, recall: 0.612, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2549,

Random Bot 9 years ago
ran flow classif.IBk(9) on task Supervised Classification on data set volcanoes-d4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9157, kb_relative_information_score: 1623.6651, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0438, number_of_instances: 8654, precision: 0.8897, predictive_accuracy: 0.9433, prior_entropy: 0.4187, recall: 0.9433, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.1478, root_mean_squared_error: 0.1506, root_relative_squared_error: 1.0194,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set wind

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8659, kappa: 0.7307, kb_relative_information_score: 4801.1712, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8659, predictive_accuracy: 0.866, prior_entropy: 0.9969, recall: 0.866, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7337,

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.IBk(9) on task Supervised Classification on data set planning-relax

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5952, kb_relative_information_score: 44.1373, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4092, number_of_instances: 182, precision: 0.5102, predictive_accuracy: 0.7143, prior_entropy: 0.8662, recall: 0.7143, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4518, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1832,

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.boosting(8) on task Supervised Classification on data set fri_c3_250_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8757, kappa: 0.7477, kb_relative_information_score: 186.8451, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4938, number_of_instances: 250, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9911, recall: 0.876, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7087,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set fri_c4_1000_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.9013, kappa: 0.7986, kb_relative_information_score: 799.2569, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.9036, predictive_accuracy: 0.902, prior_entropy: 0.9882, recall: 0.902, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6313,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set mfeat-pixel

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.randomForest(50) on task Supervised Classification on data set analcatdata_neavote

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8963, kb_relative_information_score: 25.5502, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1375, number_of_instances: 100, precision: 0.8649, predictive_accuracy: 0.93, prior_entropy: 0.3966, recall: 0.93, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.2553, root_mean_squared_error: 0.2646, root_relative_squared_error: 1.0364,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set pollen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4964, kappa: -0.0062, kb_relative_information_score: -24, mean_absolute_error: 0.5031, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4969, predictive_accuracy: 0.4969, prior_entropy: 1, recall: 0.4969, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7093, root_relative_squared_error: 1.4186,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set lymph

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 103.4165, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8512, predictive_accuracy: 0.8514, prior_entropy: 0.9937, recall: 0.8514, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7746,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set fri_c0_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.7, kappa: 0.4002, kb_relative_information_score: 39.9656, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.7006, predictive_accuracy: 0.7, prior_entropy: 0.9997, recall: 0.7, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0957,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set acute-inflammations

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.8156, kappa: 0.6342, kb_relative_information_score: 75.9822, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4999, number_of_instances: 120, precision: 0.8262, predictive_accuracy: 0.8167, prior_entropy: 0.9998, recall: 0.8167, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8565,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set boston

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.857, kappa: 0.7028, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8643, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set eye_movements

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7297, kappa: 0.5867, kb_relative_information_score: 6837.8887, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4388, number_of_instances: 10936, precision: 0.7314, predictive_accuracy: 0.729, prior_entropy: 1.5663, recall: 0.729, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9075,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set seeds

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9382, kappa: 0.9071, kb_relative_information_score: 192.2021, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4444, number_of_instances: 210, precision: 0.9384, predictive_accuracy: 0.9381, prior_entropy: 1.585, recall: 0.9381, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4309,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set quake

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set analcatdata_lawsuit

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9778, kappa: 0.8377, kb_relative_information_score: 196.0691, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9787, predictive_accuracy: 0.9773, prior_entropy: 0.385, recall: 0.9773, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.5833,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set fri_c1_1000_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7871, kappa: 0.5708, kb_relative_information_score: 568.7479, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4958, number_of_instances: 1000, precision: 0.7872, predictive_accuracy: 0.787, prior_entropy: 0.9939, recall: 0.787, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.927,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set glass

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.5259, kappa: 0.4287, kb_relative_information_score: 90.4207, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5171, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3428, root_relative_squared_error: 1.0565,

Random Bot 9 years ago
ran flow classif.svm(8) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.767, kb_relative_information_score: 135.3872, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.84, prior_entropy: 0.6375, recall: 0.84, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.4, root_relative_squared_error: 1.0911,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c4_250_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8122, kappa: 0.6238, kb_relative_information_score: 155.4393, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8137, predictive_accuracy: 0.812, prior_entropy: 0.9971, recall: 0.812, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.869,

Random Bot 9 years ago
ran flow classif.avNNet(7) on task Supervised Classification on data set houses

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4116, kappa: -0.0001, kb_relative_information_score: 2323.0533, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4907, number_of_instances: 20640, precision: 0.3227, predictive_accuracy: 0.5681, prior_entropy: 0.9866, recall: 0.5681, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4953, root_mean_squared_error: 0.6572, root_relative_squared_error: 1.3268,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set arsenic-male-lung

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 529.1701, mean_prior_absolute_error: 0.0471, number_of_instances: 559, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1684, recall: 1, root_mean_prior_squared_error: 0.1507,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c4_500_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8615, kappa: 0.7174, kb_relative_information_score: 358.4439, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8619, predictive_accuracy: 0.862, prior_entropy: 0.9875, recall: 0.862, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7495,

Random Bot 9 years ago
ran flow classif.ada(7) on task Supervised Classification on data set monks-problems-3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 529.9412, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9783, predictive_accuracy: 0.9783, prior_entropy: 0.9989, recall: 0.9783, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2946,

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