OpenML

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.4366, kappa: 0.2633, kb_relative_information_score: 133.1384, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.375, number_of_instances: 400, precision: 0.431, predictive_accuracy: 0.4475, prior_entropy: 2, recall: 0.4475, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.433, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.2138,

Random Bot 9 years ago
ran flow classif.gbm(6) on task Supervised Classification on data set cloud

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5813, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4952, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set chscase_geyser1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8415, kappa: 0.6673, kb_relative_information_score: 147.4158, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8117,

Random Bot 9 years ago
ran flow classif.randomForest(54) on task Supervised Classification on data set rabe_266

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 111.965, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3656,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8711, kappa: 0.7334, kb_relative_information_score: 370.0988, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8712, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7279,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set PizzaCutter3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.8249, kappa: 0.0233, kb_relative_information_score: 277.2451, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2144, number_of_instances: 1043, precision: 0.8335, predictive_accuracy: 0.8782, prior_entropy: 0.5365, recall: 0.8782, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.327, root_mean_squared_error: 0.3489, root_relative_squared_error: 1.0671,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c4_250_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8397, kappa: 0.6766, kb_relative_information_score: 169.0911, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8031,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set volcanoes-e3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8761, kb_relative_information_score: 256.589, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0643, number_of_instances: 1277, precision: 0.8394, predictive_accuracy: 0.9162, prior_entropy: 0.5778, recall: 0.9162, relative_absolute_error: 0.5215, root_mean_prior_squared_error: 0.1779, root_mean_squared_error: 0.1831, root_relative_squared_error: 1.0293,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 214.2518, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set sleuth_case2002

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.5624, kappa: 0.1272, kb_relative_information_score: 20.3237, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.569, predictive_accuracy: 0.5714, prior_entropy: 0.9974, recall: 0.5714, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3118,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.628, kappa: 0.4445, kb_relative_information_score: 2053.4243, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6264, predictive_accuracy: 0.6301, prior_entropy: 1.584, recall: 0.6301, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0538,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4868, f_measure: 0.7081, kappa: -0.04, kb_relative_information_score: 150.5293, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3138, number_of_instances: 797, precision: 0.6454, predictive_accuracy: 0.7842, prior_entropy: 0.7123, recall: 0.7842, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.1737,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set diggle_table_a2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9413, kappa: 0.9341, kb_relative_information_score: 289.4637, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9465, predictive_accuracy: 0.9419, prior_entropy: 3.1238, recall: 0.9419, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3628,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.4094, kappa: 0.3531, kb_relative_information_score: 10903.4701, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.4187, predictive_accuracy: 0.4256, prior_entropy: 3.5053, recall: 0.4256, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2526, root_relative_squared_error: 1.1325,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c3_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.666, kappa: 0.3238, kb_relative_information_score: 33.0474, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.6686, predictive_accuracy: 0.67, prior_entropy: 0.9931, recall: 0.67, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1547,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.465, f_measure: 0.8028, kappa: -0.0719, kb_relative_information_score: -4184.5232, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.1865, number_of_instances: 10992, precision: 0.8001, predictive_accuracy: 0.8056, prior_entropy: 0.482, recall: 0.8056, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.444,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9767, kappa: 0.9741, kb_relative_information_score: 5482.9908, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 3.3218, recall: 0.9767, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.2276,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set PieChart1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8722, kb_relative_information_score: 180.0578, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.159, number_of_instances: 705, precision: 0.8344, predictive_accuracy: 0.9135, prior_entropy: 0.4287, recall: 0.9135, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2811, root_mean_squared_error: 0.2942, root_relative_squared_error: 1.0463,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c2_1000_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.8511, kappa: 0.6916, kb_relative_information_score: 693.6289, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.4859, number_of_instances: 1000, precision: 0.8547, predictive_accuracy: 0.853, prior_entropy: 0.9796, recall: 0.853, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4929, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7779,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.4604, kappa: 0.1222, kb_relative_information_score: 498.9316, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7341, predictive_accuracy: 0.5597, prior_entropy: 1, recall: 0.5597, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6635, root_relative_squared_error: 1.3271,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8358, kappa: 0.6769, kb_relative_information_score: 128.8009, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8782, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7977,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set PizzaCutter1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.9107, kappa: 0.2854, kb_relative_information_score: 204.0263, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.146, number_of_instances: 661, precision: 0.9107, predictive_accuracy: 0.9274, prior_entropy: 0.402, recall: 0.9274, relative_absolute_error: 0.4973, root_mean_prior_squared_error: 0.2692, root_mean_squared_error: 0.2695, root_relative_squared_error: 1.0009,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-d3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9178, kb_relative_information_score: 1732.2729, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.0428, number_of_instances: 9285, precision: 0.8923, predictive_accuracy: 0.9446, prior_entropy: 0.4114, recall: 0.9446, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.1461, root_mean_squared_error: 0.1488, root_relative_squared_error: 1.0188,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9683, kappa: 0.9289, kb_relative_information_score: 147.0579, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9689, predictive_accuracy: 0.9686, prior_entropy: 0.9264, recall: 0.9686, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3744,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c3_500_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.912, kappa: 0.8235, kb_relative_information_score: 411.6507, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9981, recall: 0.912, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5941,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.5807, kappa: 0.1382, kb_relative_information_score: 84.8659, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5873, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2814,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c4_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5217, kappa: 0.04, kb_relative_information_score: 2.0142, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.5272, predictive_accuracy: 0.52, prior_entropy: 0.99, recall: 0.52, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.3957,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c1_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5693, kappa: 0.1725, kb_relative_information_score: 22.4194, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6425, predictive_accuracy: 0.62, prior_entropy: 0.99, recall: 0.62, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2419,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9181, kappa: 0.9045, kb_relative_information_score: 2106.0278, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9256, predictive_accuracy: 0.9182, prior_entropy: 2.8074, recall: 0.9182, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4369,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c3_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6955, kappa: 0.384, kb_relative_information_score: 39.1315, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.7003, predictive_accuracy: 0.7, prior_entropy: 0.9931, recall: 0.7, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.101,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6898, kappa: 0.663, kb_relative_information_score: 1087.0528, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6915, predictive_accuracy: 0.6968, prior_entropy: 3.3218, recall: 0.6968, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.8208,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8749, kb_relative_information_score: 33.7895, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.1601, number_of_instances: 130, precision: 0.8379, predictive_accuracy: 0.9154, prior_entropy: 0.4395, recall: 0.9154, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.0449,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.876, kappa: 0.7426, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8794, 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.ada(8) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.8175, kappa: 0.4188, kb_relative_information_score: 196.6595, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8136, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343,

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: 0.9906, f_measure: 0.9922, kappa: 0.9805, kb_relative_information_score: 859.7579, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9922, 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.svm(9) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6719, f_measure: 0.7831, kappa: 0.3391, kb_relative_information_score: 114.8244, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7847, predictive_accuracy: 0.7816, prior_entropy: 0.734, recall: 0.7816, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.1576,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.641, kappa: 0.2857, kb_relative_information_score: 40, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.6458, predictive_accuracy: 0.6429, prior_entropy: 1, recall: 0.6429, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5976, root_relative_squared_error: 1.1952,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set analcatdata_apnea2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.9341, kappa: 0.7144, kb_relative_information_score: 305.0267, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2343, number_of_instances: 475, precision: 0.9335, predictive_accuracy: 0.9347, prior_entropy: 0.5744, recall: 0.9347, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.3414, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.7482,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8454, kappa: 0.6832, kb_relative_information_score: 30857.2267, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8453, predictive_accuracy: 0.8457, prior_entropy: 0.9835, recall: 0.8457, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7947,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.999, kappa: 0.9944, kb_relative_information_score: 1979.8709, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.4703, recall: 0.999, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.1054,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set robot-failures-lp4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8839, kappa: 0.7866, kb_relative_information_score: 91.4292, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8975, predictive_accuracy: 0.8889, prior_entropy: 1.3564, recall: 0.8889, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.6373,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7189, kappa: 0.4717, kb_relative_information_score: 50, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.8106, predictive_accuracy: 0.7358, prior_entropy: 1, recall: 0.7358, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0279,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set volcanoes-a2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.8863, kappa: 0.3255, kb_relative_information_score: 300.3656, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0713, number_of_instances: 1623, precision: 0.8756, predictive_accuracy: 0.8983, prior_entropy: 0.6454, recall: 0.8983, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.1878, root_mean_squared_error: 0.2017, root_relative_squared_error: 1.074,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set oh0.wc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 102.9358, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set analcatdata_boxing2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7576, kappa: 0.5124, kb_relative_information_score: 67.4666, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4972, number_of_instances: 132, precision: 0.7576, predictive_accuracy: 0.7576, prior_entropy: 0.996, recall: 0.7576, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4986, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9876,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.5417, kappa: 0.3105, kb_relative_information_score: 258.9216, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.5421, predictive_accuracy: 0.5414, prior_entropy: 1.5824, recall: 0.5414, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1739,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.876, kappa: 0.7229, kb_relative_information_score: 747.9008, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8761, predictive_accuracy: 0.8758, prior_entropy: 0.9226, recall: 0.8758, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7452,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c3_500_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.884, kappa: 0.7646, kb_relative_information_score: 381.5309, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9897, recall: 0.884, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6861,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.6283, kappa: 0.4485, kb_relative_information_score: 2068.7926, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4441, number_of_instances: 4177, precision: 0.6273, predictive_accuracy: 0.6328, prior_entropy: 1.584, recall: 0.6328, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4712, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.05,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set volcanoes-e2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8687, kb_relative_information_score: 220.0845, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8301, predictive_accuracy: 0.9111, prior_entropy: 0.6024, recall: 0.9111, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1886, root_relative_squared_error: 1.0317,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set volcanoes-d2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9187, kb_relative_information_score: 1710.4111, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.0423, number_of_instances: 9172, precision: 0.8935, predictive_accuracy: 0.9453, prior_entropy: 0.4071, recall: 0.9453, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.1453, root_mean_squared_error: 0.148, root_relative_squared_error: 1.0186,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set fri_c2_500_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8707, kappa: 0.7299, kb_relative_information_score: 364.8663, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4816, number_of_instances: 500, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9735, recall: 0.872, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.4907, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7291,

Random Bot 9 years ago
ran flow classif.J48(26) on task Supervised Classification on data set yeast_ml8

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.9798, kappa: 0.2627, kb_relative_information_score: -334.0286, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.0281, number_of_instances: 2417, precision: 0.9796, predictive_accuracy: 0.9801, prior_entropy: 0.1091, recall: 0.9801, relative_absolute_error: 0.706, root_mean_prior_squared_error: 0.1178, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.1966,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set 2dplanes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9294, kappa: 0.8588, kb_relative_information_score: 35009.9741, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.5, number_of_instances: 40768, precision: 0.9294, predictive_accuracy: 0.9294, prior_entropy: 1, recall: 0.9294, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5315,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.2339, kappa: 0.2947, kb_relative_information_score: 104.241, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.0644, number_of_instances: 340, precision: 0.1969, predictive_accuracy: 0.3206, prior_entropy: 4.8945, recall: 0.3206, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.1794, root_mean_squared_error: 0.2128, root_relative_squared_error: 1.186,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9059, kappa: 0.8474, kb_relative_information_score: 2733.6099, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9083, predictive_accuracy: 0.905, prior_entropy: 1.4804, recall: 0.905, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5558,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.6213, kappa: 0.2416, kb_relative_information_score: 122.7505, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.6237, predictive_accuracy: 0.624, prior_entropy: 0.9984, recall: 0.624, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2278,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8871, kappa: 0.7274, kb_relative_information_score: 16186.7981, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4168, number_of_instances: 22784, precision: 0.8867, predictive_accuracy: 0.8879, prior_entropy: 0.8764, recall: 0.8879, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.4565, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7336,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9354, kappa: 0.9282, kb_relative_information_score: 1485.1788, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9363, predictive_accuracy: 0.9353, prior_entropy: 3.3218, recall: 0.9353, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.3791,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.9351, kappa: 0.3768, kb_relative_information_score: 852.889, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9339, predictive_accuracy: 0.9448, prior_entropy: 0.3411, recall: 0.9448, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.9664,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c1_100_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set fri_c3_1000_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7844, kappa: 0.5643, kb_relative_information_score: 559.7831, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4935, number_of_instances: 1000, precision: 0.7854, predictive_accuracy: 0.784, prior_entropy: 0.9906, recall: 0.784, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9356,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8597, kappa: 0.716, kb_relative_information_score: 71.5797, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4951, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9931, recall: 0.86, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7521,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9857, kappa: 0.9623, kb_relative_information_score: 199.3359, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 0.8205, recall: 0.9856, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2754,

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: 0.8734, f_measure: 0.8899, kappa: 0.7677, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8957, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 149.6477, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9205, recall: 1, root_mean_prior_squared_error: 0.4714,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c0_250_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7517, kappa: 0.5084, kb_relative_information_score: 129.2874, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.7824, predictive_accuracy: 0.76, prior_entropy: 0.9971, recall: 0.76, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.979, kappa: 0.9762, kb_relative_information_score: 9735.591, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.9791, predictive_accuracy: 0.979, prior_entropy: 3.1321, recall: 0.979, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.218,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7672, kappa: 0.4489, kb_relative_information_score: 46.4884, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4365, number_of_instances: 100, precision: 0.7732, predictive_accuracy: 0.78, prior_entropy: 0.9082, recall: 0.78, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4665, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0055,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6377, kappa: 0.2754, kb_relative_information_score: 281.9633, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.5, number_of_instances: 1024, precision: 0.6377, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6019, root_relative_squared_error: 1.2039,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c4_250_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7528, kappa: 0.4965, kb_relative_information_score: 125.4262, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4929, number_of_instances: 250, precision: 0.7568, predictive_accuracy: 0.756, prior_entropy: 0.9898, recall: 0.756, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9951,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.1345, kappa: 0.0037, kb_relative_information_score: 11.5424, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2763, number_of_instances: 106, precision: 0.2287, predictive_accuracy: 0.2075, prior_entropy: 2.5667, recall: 0.2075, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3716, root_mean_squared_error: 0.514, root_relative_squared_error: 1.383,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9973, kappa: 0.9944, kb_relative_information_score: 40537.677, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4813, number_of_instances: 40768, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.9729, recall: 0.9973, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1054,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set volcanoes-e2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.8809, kappa: 0.1756, kb_relative_information_score: 207.9368, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.068, number_of_instances: 1080, precision: 0.8606, predictive_accuracy: 0.9074, prior_entropy: 0.6024, recall: 0.9074, relative_absolute_error: 0.5449, root_mean_prior_squared_error: 0.1828, root_mean_squared_error: 0.1925, root_relative_squared_error: 1.053,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.3183, kappa: 0.1096, kb_relative_information_score: 38.5363, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.3075, number_of_instances: 200, precision: 0.3122, predictive_accuracy: 0.325, prior_entropy: 2.1831, recall: 0.325, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.3919, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.3259,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.8143, kappa: 0.4609, kb_relative_information_score: 969.9667, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3658, number_of_instances: 2001, precision: 0.8253, predictive_accuracy: 0.8326, prior_entropy: 0.7969, recall: 0.8326, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4276, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9568,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6663, kappa: 0.3358, kb_relative_information_score: 36.7849, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6712, predictive_accuracy: 0.6667, prior_entropy: 0.9986, recall: 0.6667, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1559,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.4017, kappa: -0.0087, kb_relative_information_score: 181.2135, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4461, predictive_accuracy: 0.5496, prior_entropy: 0.9912, recall: 0.5496, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6711, root_relative_squared_error: 1.3505,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9283, kappa: 0.8929, kb_relative_information_score: 189.4639, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4444, number_of_instances: 210, precision: 0.9287, predictive_accuracy: 0.9286, prior_entropy: 1.585, recall: 0.9286, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4629,

Random Bot 9 years ago
ran flow classif.svm(9) on task Supervised Classification on data set pc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8971, kb_relative_information_score: 273.5039, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,

Random Bot 9 years ago
ran flow classif.gbm(7) on task Supervised Classification on data set fri_c1_250_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9119, kappa: 0.8233, kb_relative_information_score: 205.8492, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4989, number_of_instances: 250, precision: 0.9123, predictive_accuracy: 0.912, prior_entropy: 0.9984, recall: 0.912, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.594,

Random Bot 9 years ago
ran flow classif.ada(8) 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.randomForest(50) on task Supervised Classification on data set CostaMadre1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5128, f_measure: 0.8138, kappa: 0.0378, kb_relative_information_score: 51.5135, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.2256, number_of_instances: 296, precision: 0.7908, predictive_accuracy: 0.8547, prior_entropy: 0.5598, recall: 0.8547, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3345, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.1394,

Random Bot 9 years ago
ran flow classif.avNNet(8) on task Supervised Classification on data set volcanoes-b2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9465, kb_relative_information_score: 1896.4307, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0281, number_of_instances: 10668, precision: 0.9295, predictive_accuracy: 0.9641, prior_entropy: 0.2849, recall: 0.9641, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.1183, root_mean_squared_error: 0.1198, root_relative_squared_error: 1.0126,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7931, kappa: 0.581, kb_relative_information_score: 8709.5155, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7936, predictive_accuracy: 0.7939, prior_entropy: 0.9924, recall: 0.7939, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9129,

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: 0.626, f_measure: 0.8316, kappa: 0.2796, kb_relative_information_score: 105.1174, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2462, number_of_instances: 559, precision: 0.825, predictive_accuracy: 0.8408, prior_entropy: 0.5956, recall: 0.8408, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.399, root_relative_squared_error: 1.1394,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set chscase_census3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4669, f_measure: 0.4672, kappa: -0.0664, kb_relative_information_score: -24.9752, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4992, number_of_instances: 400, precision: 0.4672, predictive_accuracy: 0.47, prior_entropy: 0.9989, recall: 0.47, relative_absolute_error: 1.0617, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.728, root_relative_squared_error: 1.4572,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9833, kappa: 0.9643, kb_relative_information_score: 810.2135, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9561, recall: 0.9834, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.129, root_relative_squared_error: 0.2662,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set chatfield_4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.8043, kappa: 0.5866, kb_relative_information_score: 139.0589, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8093, predictive_accuracy: 0.8085, prior_entropy: 0.9689, recall: 0.8085, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8949,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set fri_c4_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.6283, kappa: 0.2437, kb_relative_information_score: 24.46, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6277, predictive_accuracy: 0.63, prior_entropy: 0.99, recall: 0.63, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set volcanoes-b4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.9534, kappa: 0.2986, kb_relative_information_score: 2005.1615, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0296, number_of_instances: 10190, precision: 0.9462, predictive_accuracy: 0.9621, prior_entropy: 0.2971, recall: 0.9621, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.1213, root_mean_squared_error: 0.1231, root_relative_squared_error: 1.0146,

Random Bot 9 years ago
ran flow classif.IBk(10) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8492, kb_relative_information_score: 407.2387, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, average_cost: 0.6333, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 143.1546, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, recall: 0.9667, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, total_cost: 95,

Random Bot 9 years ago
ran flow classif.randomForest(50) on task Supervised Classification on data set fri_c0_100_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.66, kappa: 0.3203, kb_relative_information_score: 31.9612, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4998, number_of_instances: 100, precision: 0.6605, predictive_accuracy: 0.66, prior_entropy: 0.9997, recall: 0.66, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1664,

Random Bot 9 years ago
ran flow classif.ada(8) on task Supervised Classification on data set fri_c0_1000_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.899, kappa: 0.798, kb_relative_information_score: 797.9894, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.899, predictive_accuracy: 0.899, prior_entropy: 1, recall: 0.899, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6356,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9983, kappa: 0.9785, kb_relative_information_score: 19353.9353, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.078, number_of_instances: 20000, precision: 0.9983, predictive_accuracy: 0.9984, prior_entropy: 0.2455, recall: 0.9984, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.1975, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.2057,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8171, kappa: 0.6357, kb_relative_information_score: 120.7752, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8335, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8492,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: 10.296, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4939, number_of_instances: 108, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9914, recall: 0.5556, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3416,

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