OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9916, kappa: 0.9286, kb_relative_information_score: 12881.6498, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.3831,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set house_8L

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5817, kb_relative_information_score: 5371.4394, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.4956, predictive_accuracy: 0.704, prior_entropy: 0.8764, recall: 0.704, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1918,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 5542.8854, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3182,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set volcanoes-b6

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.956, kappa: 0.3524, kb_relative_information_score: 2646.6566, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0297, number_of_instances: 10130, precision: 0.9466, predictive_accuracy: 0.9659, prior_entropy: 0.2978, recall: 0.9659, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.1215, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.9605,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set yeast_ml8

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9789, kb_relative_information_score: 452.551, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9721, predictive_accuracy: 0.9859, prior_entropy: 0.1091, recall: 0.9859, relative_absolute_error: 0.5001, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1186, root_relative_squared_error: 1.0071,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9361, kb_relative_information_score: 127.8638, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.0837, number_of_instances: 559, precision: 0.916, predictive_accuracy: 0.9571, prior_entropy: 0.2628, recall: 0.9571, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.2027, root_mean_squared_error: 0.2072, root_relative_squared_error: 1.0222,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c2_500_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8848, kappa: 0.7567, kb_relative_information_score: 377.8571, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4768, number_of_instances: 500, precision: 0.8864, predictive_accuracy: 0.886, prior_entropy: 0.9664, recall: 0.886, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6916,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9245, kappa: 0.8028, kb_relative_information_score: 659.954, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3828, number_of_instances: 846, precision: 0.9246, predictive_accuracy: 0.9244, prior_entropy: 0.8241, recall: 0.9244, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6289,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.942, kappa: 0.8835, kb_relative_information_score: 6298.4961, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4981, number_of_instances: 7129, precision: 0.9424, predictive_accuracy: 0.9421, prior_entropy: 0.9973, recall: 0.9421, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.4823,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c3_500_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7902, kappa: 0.5717, kb_relative_information_score: 286.9898, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7921, predictive_accuracy: 0.792, prior_entropy: 0.9882, recall: 0.792, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9197,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9996, kappa: 0.9994, kb_relative_information_score: 5449.6521, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 1.7151, recall: 0.9996, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0135, root_relative_squared_error: 0.0333,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.828, kappa: 0.2586, kb_relative_information_score: 100.052, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.8203, predictive_accuracy: 0.839, prior_entropy: 0.5956, recall: 0.839, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.1458,

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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 119.9202, mean_prior_absolute_error: 0.4863, number_of_instances: 120, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9805, recall: 1, root_mean_prior_squared_error: 0.493,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8771, kappa: 0.7459, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8772, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set gina_prior2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8837, kappa: 0.8708, kb_relative_information_score: 3043.2415, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8842, predictive_accuracy: 0.8838, prior_entropy: 3.3188, recall: 0.8838, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5083,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.8555, kappa: 0.6113, kb_relative_information_score: 133.0707, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.8902, predictive_accuracy: 0.8708, prior_entropy: 0.8417, recall: 0.8708, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.8115,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set PizzaCutter1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.8698, kappa: 0.0144, kb_relative_information_score: -67.6111, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.8573, predictive_accuracy: 0.8835, prior_entropy: 0.402, recall: 0.8835, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.3413, root_relative_squared_error: 1.2677,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c0_250_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.844, kappa: 0.688, kb_relative_information_score: 171.9927, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.79,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.664, kappa: 0.328, kb_relative_information_score: 82, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.664, predictive_accuracy: 0.664, prior_entropy: 1, recall: 0.664, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1593,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c2_250_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.827, kappa: 0.6386, kb_relative_information_score: 151.761, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4633, number_of_instances: 250, precision: 0.8426, predictive_accuracy: 0.824, prior_entropy: 0.9468, recall: 0.824, relative_absolute_error: 0.3799, root_mean_prior_squared_error: 0.4812, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8719,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set kin8nm

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.866, kappa: 0.7319, kb_relative_information_score: 5995.0203, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9998, recall: 0.866, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7323,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set fri_c1_500_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6046, f_measure: 0.602, kappa: 0.2119, kb_relative_information_score: 110.7109, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6156, predictive_accuracy: 0.612, prior_entropy: 0.9984, recall: 0.612, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2472,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 29.7793, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.323,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9694, kappa: 0.9316, kb_relative_information_score: 13921.1938, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4463, number_of_instances: 15000, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.921, recall: 0.9694, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3703,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9488, kappa: 0.9468, kb_relative_information_score: 7393.1908, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9491, predictive_accuracy: 0.9488, prior_entropy: 4.7004, recall: 0.9488, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.3263,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set volcanoes-e1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8751, kb_relative_information_score: 237.722, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0649, number_of_instances: 1183, precision: 0.8381, predictive_accuracy: 0.9155, prior_entropy: 0.5841, recall: 0.9155, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.1786, root_mean_squared_error: 0.1839, root_relative_squared_error: 1.0295,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.828, kappa: 0.0691, kb_relative_information_score: 15.6452, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2169, number_of_instances: 100, precision: 0.8092, predictive_accuracy: 0.86, prior_entropy: 0.5504, recall: 0.86, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.325, root_mean_squared_error: 0.3742, root_relative_squared_error: 1.1511,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set house_16H

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8699, kappa: 0.684, kb_relative_information_score: 15239.2601, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8695, predictive_accuracy: 0.8718, prior_entropy: 0.8764, recall: 0.8718, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7845,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.8194, kappa: 0.4882, kb_relative_information_score: 17207.1769, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8174, predictive_accuracy: 0.8269, prior_entropy: 0.7951, recall: 0.8269, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9743,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9777, kappa: 0.9733, kb_relative_information_score: 175.593, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2778, number_of_instances: 180, precision: 0.9795, predictive_accuracy: 0.9778, prior_entropy: 2.585, recall: 0.9778, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.2309,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9934, kappa: 0.9755, kb_relative_information_score: 9661.1538, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.6393, recall: 0.9934, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2209,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 65.1469, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2239, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.6623, recall: 0.6395, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.139,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.5951, kappa: 0.4633, kb_relative_information_score: 2895.251, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5895, predictive_accuracy: 0.6089, prior_entropy: 2.3005, recall: 0.6089, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3611, root_relative_squared_error: 1.0198,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_100_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.82, kappa: 0.6364, kb_relative_information_score: 63.4677, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9931, recall: 0.82, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8528,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set fri_c0_100_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.7469, kappa: 0.4969, kb_relative_information_score: 51.2996, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.76, prior_entropy: 0.9931, recall: 0.76, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9847,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6389, f_measure: 0.5094, kappa: 0.2773, kb_relative_information_score: 51.2321, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.531, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.2045,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set kc1-top5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.918, kb_relative_information_score: 35.3853, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1096, number_of_instances: 145, precision: 0.8927, 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.IBk(10) on task Supervised Classification on data set fri_c4_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.6639, kappa: 0.3367, kb_relative_information_score: 35.4104, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.6975, predictive_accuracy: 0.68, prior_entropy: 0.9956, recall: 0.68, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5657, root_relative_squared_error: 1.135,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set fri_c1_100_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6544, kappa: 0.3092, kb_relative_information_score: 31.6493, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6625, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1683,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.744, kappa: 0.4884, kb_relative_information_score: 499.974, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.7451, predictive_accuracy: 0.7441, prior_entropy: 1, recall: 0.7441, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0117,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9207, kappa: 0.819, kb_relative_information_score: 355.1123, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4374, number_of_instances: 440, precision: 0.921, predictive_accuracy: 0.9205, prior_entropy: 0.9082, recall: 0.9205, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.282, root_relative_squared_error: 0.6033,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.8002, kappa: 0.6399, kb_relative_information_score: 84.3381, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7851, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8298,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set volcanoes-b1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.9562, kappa: 0.3507, kb_relative_information_score: 2433.0467, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0296, number_of_instances: 10176, precision: 0.9496, predictive_accuracy: 0.9645, prior_entropy: 0.2974, recall: 0.9645, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.1214, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.9812,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.4448, kappa: 0.0672, kb_relative_information_score: 26.4841, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.72, predictive_accuracy: 0.5743, prior_entropy: 1.2818, recall: 0.5743, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.4613, root_relative_squared_error: 1.2676,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set chscase_census4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5229, kappa: 0.0569, kb_relative_information_score: 25.5162, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4996, number_of_instances: 400, precision: 0.5309, predictive_accuracy: 0.5325, prior_entropy: 0.9994, recall: 0.5325, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6837, root_relative_squared_error: 1.3681,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3378, kb_relative_information_score: 4.9429, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.254, predictive_accuracy: 0.504, prior_entropy: 1, recall: 0.504, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4086,

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.J48(25) on task Supervised Classification on data set mfeat-fourier

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9792, kappa: 0.8854, kb_relative_information_score: 1684.8162, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9794, predictive_accuracy: 0.979, prior_entropy: 0.4703, recall: 0.979, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7459, kappa: 0.3752, kb_relative_information_score: 55.047, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4115, number_of_instances: 163, precision: 0.7439, predictive_accuracy: 0.7485, prior_entropy: 0.8699, recall: 0.7485, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.1071,

Random Bot 9 years ago
ran flow classif.svm(8) on task Supervised Classification on data set fri_c0_250_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -10, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.04, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4422,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 593.526, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7419, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.3311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.8138,

Random Bot 9 years ago
ran flow classif.J48(25) on task Supervised Classification on data set sleuth_case2002

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6976, kappa: 0.409, kb_relative_information_score: 58.5244, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.7215, predictive_accuracy: 0.7007, prior_entropy: 0.9974, recall: 0.7007, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0963,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c4_100_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7486, kappa: 0.5048, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7658, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set fri_c2_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.9193, kappa: 0.8336, kb_relative_information_score: 83.344, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9218, predictive_accuracy: 0.92, prior_entropy: 0.9822, recall: 0.92, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5731,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set first-order-theorem-proving

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.587, kappa: 0.4505, kb_relative_information_score: 2807.369, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5872, predictive_accuracy: 0.587, prior_entropy: 2.3005, recall: 0.587, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.048,

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.ada(8) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9971, kappa: 0.9844, kb_relative_information_score: 10759.7197, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.482, recall: 0.9971, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1767,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set fri_c2_1000_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7722, kappa: 0.5303, kb_relative_information_score: 530.8381, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4872, number_of_instances: 1000, precision: 0.7728, predictive_accuracy: 0.774, prior_entropy: 0.9815, recall: 0.774, relative_absolute_error: 0.4639, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9632,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9939, kappa: 0.9912, kb_relative_information_score: 44682.5152, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 2.3329, recall: 0.9939, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0307, root_relative_squared_error: 0.1327,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set fri_c0_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 52, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7604, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c3_250_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7488, kappa: 0.4924, kb_relative_information_score: 120.9708, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4919, number_of_instances: 250, precision: 0.7516, predictive_accuracy: 0.748, prior_entropy: 0.9883, recall: 0.748, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0123,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.8306, kappa: 0.2724, kb_relative_information_score: 714.9969, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8363, predictive_accuracy: 0.8601, prior_entropy: 0.622, recall: 0.8601, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0346,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.8046, kappa: 0.5254, kb_relative_information_score: 9148.2105, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.4271, number_of_instances: 16599, precision: 0.8255, predictive_accuracy: 0.8202, prior_entropy: 0.8921, recall: 0.8202, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9175,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set no2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, f_measure: 0.6239, kappa: 0.2479, kb_relative_information_score: 123.9913, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 500, precision: 0.624, predictive_accuracy: 0.624, prior_entropy: 1, recall: 0.624, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2264,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set house_8L

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.8834, kappa: 0.7169, kb_relative_information_score: 16013.8143, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8832, predictive_accuracy: 0.8849, prior_entropy: 0.8764, recall: 0.8849, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7431,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.7239, kappa: 0.3873, kb_relative_information_score: 76.3434, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4588, number_of_instances: 194, precision: 0.7242, predictive_accuracy: 0.732, prior_entropy: 0.9403, recall: 0.732, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4787, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0815,

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.ada(8) on task Supervised Classification on data set strikes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 624.9998, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c0_250_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 170, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c2_100_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8096, kappa: 0.6025, kb_relative_information_score: 59.6877, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.8093, predictive_accuracy: 0.81, prior_entropy: 0.9721, recall: 0.81, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8897,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.401, kappa: 0.1049, kb_relative_information_score: 27.6992, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4007, predictive_accuracy: 0.404, prior_entropy: 1.5845, recall: 0.404, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.6304, root_relative_squared_error: 1.3374,

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.boosting(8) on task Supervised Classification on data set chscase_geyser1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8987, kappa: 0.7862, kb_relative_information_score: 175.0712, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.907, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6436,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 119.9992, mean_prior_absolute_error: 0.4999, number_of_instances: 120, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9998, recall: 1, root_mean_prior_squared_error: 0.4999,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 35.3688, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 130, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9257, kappa: 0.8499, kb_relative_information_score: 1164.3154, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9261, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5487,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9033, kb_relative_information_score: 34.5601, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1273, number_of_instances: 138, precision: 0.8738, predictive_accuracy: 0.9348, prior_entropy: 0.3712, recall: 0.9348, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.247, root_mean_squared_error: 0.2554, root_relative_squared_error: 1.034,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set kin8nm

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 5746.9098, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4998, number_of_instances: 8192, precision: 0.8509, predictive_accuracy: 0.8508, prior_entropy: 0.9998, recall: 0.8508, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7726,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9198, kb_relative_information_score: 1141.2313, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9719, kappa: 0.9397, kb_relative_information_score: 533.6065, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.953, recall: 0.9719, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3468,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.6543, kappa: 0.1853, kb_relative_information_score: 21.2177, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4369, number_of_instances: 106, precision: 0.6487, predictive_accuracy: 0.6698, prior_entropy: 0.9088, recall: 0.6698, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4668, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.231,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0784, kb_relative_information_score: 167.7113, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.0899, number_of_instances: 1560, precision: 0.0478, predictive_accuracy: 0.2186, prior_entropy: 3.7381, recall: 0.2186, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.212, root_mean_squared_error: 0.2795, root_relative_squared_error: 1.3188,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.842, kappa: 0.6827, kb_relative_information_score: 4483.2313, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4979, number_of_instances: 6574, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.9969, recall: 0.842, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7968,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.6188, kappa: 0.2528, kb_relative_information_score: 156.9569, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.5, number_of_instances: 625, precision: 0.6367, predictive_accuracy: 0.6256, prior_entropy: 1, recall: 0.6256, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.2238,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c4_1000_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.8518, kappa: 0.6976, kb_relative_information_score: 698.9093, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4918, number_of_instances: 1000, precision: 0.8542, predictive_accuracy: 0.853, prior_entropy: 0.9882, recall: 0.853, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7732,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set PieChart4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8208, kb_relative_information_score: 387.3817, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3494, root_relative_squared_error: 1.0673,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9496, kappa: 0.9433, kb_relative_information_score: 9422.2497, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.95, predictive_accuracy: 0.9499, prior_entropy: 3.1321, recall: 0.9499, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3369,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.925, kappa: 0.8499, kb_relative_information_score: 34649.9607, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.925, predictive_accuracy: 0.925, prior_entropy: 1, recall: 0.925, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.5478,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 12959.6371, mean_prior_absolute_error: 0.4445, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9183, recall: 1, root_mean_prior_squared_error: 0.4714,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9455, kappa: 0.8908, kb_relative_information_score: 2841.2853, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4993, number_of_instances: 3190, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.999, recall: 0.9455, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4674,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.7382, kappa: 0.4898, kb_relative_information_score: 65.643, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4853, number_of_instances: 145, precision: 0.78, predictive_accuracy: 0.7379, prior_entropy: 0.979, recall: 0.7379, relative_absolute_error: 0.54, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0394,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set one-hundred-plants-margin

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.5834, kappa: 0.5777, kb_relative_information_score: 929.54, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5951, predictive_accuracy: 0.5819, prior_entropy: 6.6439, recall: 0.5819, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9191,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.985, kappa: 0.9663, kb_relative_information_score: 14470.9952, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.4463, number_of_instances: 15000, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.921, recall: 0.985, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2593,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6833, kappa: 0.2853, kb_relative_information_score: 32.4864, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6926, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.568, root_relative_squared_error: 1.2215,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c2_1000_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8869, kappa: 0.7698, kb_relative_information_score: 768.7105, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4921, number_of_instances: 1000, precision: 0.8869, predictive_accuracy: 0.887, prior_entropy: 0.9886, recall: 0.887, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6777,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set fri_c1_500_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8699, kappa: 0.7391, kb_relative_information_score: 369.5637, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9984, recall: 0.87, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7219,

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