OpenML

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c0_500_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.836, kappa: 0.6718, kb_relative_information_score: 335.9049, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4998, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9997, recall: 0.836, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8101,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3816, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.2965, kappa: 0.2499, kb_relative_information_score: 7805.9095, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.0995, number_of_instances: 28056, precision: 0.3042, predictive_accuracy: 0.3366, prior_entropy: 3.5053, recall: 0.3366, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2715, root_relative_squared_error: 1.2171,

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

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

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

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

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

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

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

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

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c3_250_25

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

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

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

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

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

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.5451, kappa: 0.4314, kb_relative_information_score: 95.1293, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2465, number_of_instances: 214, precision: 0.5077, predictive_accuracy: 0.6075, prior_entropy: 2.1997, recall: 0.6075, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3617, root_relative_squared_error: 1.0322,

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: 0.9151, f_measure: 0.915, kappa: 0.8302, kb_relative_information_score: 88, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.5, number_of_instances: 106, precision: 0.9164, predictive_accuracy: 0.9151, prior_entropy: 1, recall: 0.9151, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5828,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set sleuth_case2002

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.6262, kappa: 0.252, kb_relative_information_score: 36.4082, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4982, number_of_instances: 147, precision: 0.628, predictive_accuracy: 0.6259, prior_entropy: 0.9974, recall: 0.6259, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6117, root_relative_squared_error: 1.2257,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9813, kappa: 0.8616, kb_relative_information_score: 206.0593, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1363, number_of_instances: 264, precision: 0.9816, predictive_accuracy: 0.9811, prior_entropy: 0.385, recall: 0.9811, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.2585, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.5325,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set chscase_census2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.4907, kappa: -0.0168, kb_relative_information_score: -6.1312, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.4999, number_of_instances: 400, precision: 0.4916, predictive_accuracy: 0.4925, prior_entropy: 0.9998, recall: 0.4925, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4249,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set autoUniv-au7-700

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.3289, kappa: 0.165, kb_relative_information_score: 156.0473, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4437, number_of_instances: 700, precision: 0.3647, predictive_accuracy: 0.4257, prior_entropy: 1.5824, recall: 0.4257, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.471, root_mean_squared_error: 0.6188, root_relative_squared_error: 1.3137,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.846, kappa: 0.6913, kb_relative_information_score: 345.4843, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4989, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9984, recall: 0.846, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7858,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c4_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.7603, kappa: 0.5185, kb_relative_information_score: 51.5534, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7612, predictive_accuracy: 0.76, prior_entropy: 0.9956, recall: 0.76, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9829,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set rabe_266

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 111.965, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, 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.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.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.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.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.boosting(8) on task Supervised Classification on data set robot-failures-lp4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7652, kappa: 0.5457, kb_relative_information_score: 67.1889, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7881, predictive_accuracy: 0.7778, prior_entropy: 1.3564, recall: 0.7778, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9013,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c2_100_5

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.86, kappa: 0.7083, kb_relative_information_score: 70.2658, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4804, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9721, recall: 0.86, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7638,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set PizzaCutter3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.8482, kappa: 0.2271, kb_relative_information_score: 187.2738, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.2144, number_of_instances: 1043, precision: 0.8389, predictive_accuracy: 0.8639, prior_entropy: 0.5365, recall: 0.8639, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.327, root_mean_squared_error: 0.369, root_relative_squared_error: 1.1283,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set mw1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.9062, kappa: 0.2778, kb_relative_information_score: 73.1168, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9002, predictive_accuracy: 0.9156, prior_entropy: 0.3987, recall: 0.9156, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2905, root_relative_squared_error: 1.09,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6562, kappa: 0.2998, kb_relative_information_score: 30.5815, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4929, number_of_instances: 100, precision: 0.6573, predictive_accuracy: 0.66, prior_entropy: 0.99, recall: 0.66, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1747,

Random Bot 9 years ago
ran flow classif.boosting(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.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.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.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.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.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.boosting(8) on task Supervised Classification on data set ar4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.8197, kappa: 0.3743, kb_relative_information_score: 36.8536, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3076, number_of_instances: 107, precision: 0.815, predictive_accuracy: 0.8318, prior_entropy: 0.707, recall: 0.8318, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.052,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set chatfield_4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.873, kappa: 0.736, kb_relative_information_score: 170.9962, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8747, predictive_accuracy: 0.8723, prior_entropy: 0.9689, recall: 0.8723, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7306,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c1_100_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7784, kappa: 0.5552, kb_relative_information_score: 55.7695, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7825, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9398,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c4_100_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7501, kappa: 0.5012, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.754, 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.boosting(8) on task Supervised Classification on data set cardiotocography

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9872, kappa: 0.9651, kb_relative_information_score: 2039.9073, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.2455, number_of_instances: 2126, precision: 0.9872, predictive_accuracy: 0.9873, prior_entropy: 0.976, recall: 0.9873, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.3502, root_mean_squared_error: 0.092, root_relative_squared_error: 0.2628,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.95, kappa: 0.8977, kb_relative_information_score: 215.1501, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.984, recall: 0.95, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4523,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c3_1000_50

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8899, kappa: 0.7769, kb_relative_information_score: 776.0904, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.494, number_of_instances: 1000, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.9913, recall: 0.89, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6674,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set bank8FM

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9417, kappa: 0.8789, kb_relative_information_score: 7184.7692, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4918,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9901, kappa: 0.9749, kb_relative_information_score: 96.5084, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3963, number_of_instances: 100, precision: 0.9904, predictive_accuracy: 0.99, prior_entropy: 0.8479, recall: 0.99, relative_absolute_error: 0.0252, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2252,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set CastMetal1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.8177, kappa: 0.0912, kb_relative_information_score: 37.3, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.2256, number_of_instances: 327, precision: 0.8007, predictive_accuracy: 0.844, prior_entropy: 0.5594, recall: 0.844, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.3346, root_mean_squared_error: 0.3949, root_relative_squared_error: 1.1803,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9747, kappa: 0.9434, kb_relative_information_score: 149.3816, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.975, predictive_accuracy: 0.9748, prior_entropy: 0.9264, recall: 0.9748, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.3349,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set mc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6954, kappa: 0.2858, kb_relative_information_score: 47.5668, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6927, predictive_accuracy: 0.7081, prior_entropy: 0.9099, recall: 0.7081, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1554,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c4_100_100

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 45.7194, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0411,

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.boosting(8) on task Supervised Classification on data set fri_c1_250_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8845, kappa: 0.7656, kb_relative_information_score: 190.1946, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8872, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6883,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c2_500_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9201, kappa: 0.8372, kb_relative_information_score: 417.5125, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4897, number_of_instances: 500, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.9851, recall: 0.92, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5716,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c0_500_10

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8738, kappa: 0.7473, kb_relative_information_score: 373.7623, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8745, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7104,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8339, kappa: 0.6452, kb_relative_information_score: 86.641, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4746, number_of_instances: 132, precision: 0.8527, predictive_accuracy: 0.8409, prior_entropy: 0.9635, recall: 0.8409, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8192,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9643, kappa: 0.9285, kb_relative_information_score: 2967.3444, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9986, recall: 0.9643, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3781,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c1_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 53.7595, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9609,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8481, kappa: 0.6951, kb_relative_information_score: 173.5444, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.498, number_of_instances: 250, precision: 0.8482, predictive_accuracy: 0.848, prior_entropy: 0.9971, recall: 0.848, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7813,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.9616, kappa: 0.3385, kb_relative_information_score: 1278.6481, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0682, number_of_instances: 4229, precision: 0.9613, predictive_accuracy: 0.9686, prior_entropy: 0.221, recall: 0.9686, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.1844, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.9619,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.2176, kappa: 0.27, kb_relative_information_score: 306.8859, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3364, prior_entropy: 3.4594, recall: 0.3364, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.2083,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6585.79, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0174, root_relative_squared_error: 0.0482,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.9522, kappa: 0.8607, kb_relative_information_score: 972.1973, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.3451, number_of_instances: 1156, precision: 0.952, predictive_accuracy: 0.9524, prior_entropy: 0.7637, recall: 0.9524, relative_absolute_error: 0.1379, root_mean_prior_squared_error: 0.4152, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.5253,

Random Bot 9 years ago
ran flow classif.boosting(8) on task Supervised Classification on data set fri_c4_100_25

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.7403, kappa: 0.4783, kb_relative_information_score: 47.5176, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4969, number_of_instances: 100, precision: 0.7412, predictive_accuracy: 0.74, prior_entropy: 0.9956, recall: 0.74, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0231,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.8316, kappa: 0.6603, kb_relative_information_score: 307.1375, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4939, number_of_instances: 468, precision: 0.8333, predictive_accuracy: 0.8312, prior_entropy: 0.9912, recall: 0.8312, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8268,

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