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Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 525.9321, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3182, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 932.5646, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_stream_intervals.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9396, kappa: 0.9146, kb_relative_information_score: 678.0634, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1069, number_of_instances: 14904, precision: 0.9414, predictive_accuracy: 0.9412, prior_entropy: 2.3329, recall: 0.9412, relative_absolute_error: 1.2167, root_mean_prior_squared_error: 0.2308, root_mean_squared_error: 0.2479, root_relative_squared_error: 1.0739, scimark_benchmark: 932.5646, usercpu_time_millis: 564960, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 561670,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set aids
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.5539, kappa: 0.2, kb_relative_information_score: 2, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.5, number_of_instances: 16, precision: 0.6705, predictive_accuracy: 0.5625, prior_entropy: 1, recall: 0.5625, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.3229, scimark_benchmark: 887.6719,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set white-clover
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.5531, kappa: 0.0476, kb_relative_information_score: -1.588, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.2619, number_of_instances: 20, precision: 0.5219, predictive_accuracy: 0.6, prior_entropy: 1.4097, recall: 0.6, relative_absolute_error: 1.1135, root_mean_prior_squared_error: 0.3505, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0607, scimark_benchmark: 1369.9744, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set squash-unstored
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7484, kappa: 0.6, kb_relative_information_score: 7.9067, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4064, number_of_instances: 17, precision: 0.8, predictive_accuracy: 0.7647, prior_entropy: 1.3486, recall: 0.7647, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.808, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set squash-stored
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.4085, kb_relative_information_score: 3.0563, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0517, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set SPECTF
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7893, kappa: 0.4806, kb_relative_information_score: 51.4736, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7878, predictive_accuracy: 0.7913, prior_entropy: 0.8464, recall: 0.7913, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0095, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set pasture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.6636, kappa: 0.4359, kb_relative_information_score: 4.0474, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4444, number_of_instances: 11, precision: 0.7576, predictive_accuracy: 0.6364, prior_entropy: 1.585, recall: 0.6364, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8876, scimark_benchmark: 887.6719, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set grub-damage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.3837, kappa: 0.1661, kb_relative_information_score: 9.6426, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3991, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4252, root_relative_squared_error: 1.0005, scimark_benchmark: 912.5006, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set SPECT
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.8049, kappa: 0.4184, kb_relative_information_score: 29.8642, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8032, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4395, root_relative_squared_error: 1.068, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 1369.9744, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9617, kappa: 0.9219, kb_relative_information_score: 166.6647, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4967, number_of_instances: 182, precision: 0.9648, predictive_accuracy: 0.9615, prior_entropy: 0.9989, recall: 0.9615, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4971, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3945, scimark_benchmark: 912.5006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.756, kappa: 0.5348, kb_relative_information_score: 99, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 183, precision: 0.8414, predictive_accuracy: 0.7705, prior_entropy: 1, recall: 0.7705, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9581, scimark_benchmark: 912.5006, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set hypothyroid
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.9055, kappa: 0.2729, kb_relative_information_score: -5904.8969, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.0736, number_of_instances: 1244, precision: 0.8818, predictive_accuracy: 0.9333, prior_entropy: 0.4715, recall: 0.9333, relative_absolute_error: 3.4853, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.3218, root_relative_squared_error: 1.6739, scimark_benchmark: 1369.9744, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9829, kappa: 0.9732, kb_relative_information_score: 34.9955, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4356, number_of_instances: 58, precision: 0.9838, predictive_accuracy: 0.9828, prior_entropy: 1.5674, recall: 0.9828, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4648, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6005, scimark_benchmark: 912.5006, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 4864.396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 912.5006, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9022, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.8725, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1369.9744, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.9093, kappa: 0.0023, kb_relative_information_score: 9103.1467, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 37720, precision: 0.9181, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2474, root_relative_squared_error: 1.0319, scimark_benchmark: 1369.9744, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set shuttle-landing-control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4389, f_measure: 0.4282, kappa: -0.1392, kb_relative_information_score: -1.6182, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4824, number_of_instances: 150, precision: 0.3903, predictive_accuracy: 0.52, prior_entropy: 0.9774, recall: 0.52, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.4138, scimark_benchmark: 887.6719,
Felicia West 10 years ago
ran flow weka.SimpleLogistic(3) on task Supervised Classification on data set meta_stream_intervals.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9525, kappa: 0.9317, kb_relative_information_score: 41318.3669, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1072, number_of_instances: 45164, precision: 0.9526, predictive_accuracy: 0.9525, prior_entropy: 2.3329, recall: 0.9525, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.2315, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.3346, scimark_benchmark: 912.5006, usercpu_time_millis: 1802750, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1801950,
Felicia West 10 years ago
ran flow weka.SimpleLogistic(3) on task Supervised Classification on data set oh15.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8252, kappa: 0.8018, kb_relative_information_score: 7271.5759, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1768, number_of_instances: 9130, precision: 0.8286, predictive_accuracy: 0.8256, prior_entropy: 3.2121, recall: 0.8256, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.5498, scimark_benchmark: 887.6719, usercpu_time_millis: 187410, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 186340,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321, scimark_benchmark: 1369.9744, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 940.3347, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set hypothyroid
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.9094, kappa: 0.2946, kb_relative_information_score: -17954.6224, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.0729, number_of_instances: 3772, precision: 0.887, predictive_accuracy: 0.9358, prior_entropy: 0.4715, recall: 0.9358, relative_absolute_error: 3.5153, root_mean_prior_squared_error: 0.1904, root_mean_squared_error: 0.3214, root_relative_squared_error: 1.6879, scimark_benchmark: 940.3347, usercpu_time_millis: 2200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2180,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set shuttle-landing-control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3889, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.8361, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4824, number_of_instances: 15, precision: 0.3231, predictive_accuracy: 0.4667, prior_entropy: 0.9774, recall: 0.4667, relative_absolute_error: 1.1057, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7303, root_relative_squared_error: 1.4903, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7268, kappa: 0.6705, kb_relative_information_score: 2976.1614, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.2619, number_of_instances: 10660, precision: 0.7311, predictive_accuracy: 0.7451, prior_entropy: 2.3647, recall: 0.7451, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.3618, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8906, scimark_benchmark: 1369.9744, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.986, kappa: 0.9787, kb_relative_information_score: 1100.6693, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 1.5674, recall: 0.986, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5931, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.6893, kappa: 0.6227, kb_relative_information_score: 825.137, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.2618, number_of_instances: 3230, precision: 0.6768, predictive_accuracy: 0.7093, prior_entropy: 2.3334, recall: 0.7093, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3616, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.8975, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set lung-cancer
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.3838, kappa: 0.062, kb_relative_information_score: 70.0876, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4393, number_of_instances: 320, precision: 0.3874, predictive_accuracy: 0.3813, prior_entropy: 1.57, recall: 0.3813, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0199, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set BNG(breast-w)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9799, kappa: 0.9555, kb_relative_information_score: 375361.131, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4514, number_of_instances: 393660, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9287, recall: 0.9799, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2984, scimark_benchmark: 940.3347, usercpu_time_millis: 2170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2130,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set kropt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.4233, kappa: 0.3729, kb_relative_information_score: 1078.9188, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4259, predictive_accuracy: 0.4423, prior_entropy: 3.5053, recall: 0.4423, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.9865, scimark_benchmark: 1369.9744, usercpu_time_millis: 673520, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 672670,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_instanceincremental.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.8457, kappa: 0.6713, kb_relative_information_score: -73.1454, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2277, number_of_instances: 740, precision: 0.8284, predictive_accuracy: 0.8662, prior_entropy: 1.3146, recall: 0.8662, relative_absolute_error: 1.1818, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3402, root_relative_squared_error: 1.0255, scimark_benchmark: 915.9324, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_ensembles.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.6448, kappa: 0.3756, kb_relative_information_score: 70.1243, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.2904, number_of_instances: 740, precision: 0.6473, predictive_accuracy: 0.673, prior_entropy: 1.5899, recall: 0.673, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.9986, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_batchincremental.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.5738, kappa: 0.0683, kb_relative_information_score: -108.2039, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.592, predictive_accuracy: 0.6378, prior_entropy: 1.3842, recall: 0.6378, relative_absolute_error: 1.182, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.085, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_all.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.6216, kappa: 0.358, kb_relative_information_score: 24.701, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.2065, number_of_instances: 710, precision: 0.6152, predictive_accuracy: 0.6535, prior_entropy: 1.9094, recall: 0.6535, relative_absolute_error: 1.15, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3336, root_relative_squared_error: 1.0524, scimark_benchmark: 915.9324, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set nursery
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 27854.3828, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8672, scimark_benchmark: 915.9324, usercpu_time_millis: 18100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 18020,
Jason 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.1947, kappa: 0.1304, kb_relative_information_score: 2318.2343, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1744, predictive_accuracy: 0.2503, prior_entropy: 3.6268, recall: 0.2503, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 1368.9272, usercpu_time_millis: 2800, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2700,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.639, kappa: 0.5413, kb_relative_information_score: 2386.502, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6396, predictive_accuracy: 0.644, prior_entropy: 2.2629, recall: 0.644, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.8714, scimark_benchmark: 940.3347, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set braziltourism
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.6978, kappa: 0.1164, kb_relative_information_score: -3291.4606, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6986, predictive_accuracy: 0.7801, prior_entropy: 1.1781, recall: 0.7801, relative_absolute_error: 1.8905, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.3263, scimark_benchmark: 940.3347, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7509, kappa: 0.4883, kb_relative_information_score: 22732.6566, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7655, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9933, scimark_benchmark: 940.3347, usercpu_time_millis: 240660, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 240590,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8636, kappa: 0.836, kb_relative_information_score: 21878.7171, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2701, number_of_instances: 64300, precision: 0.8617, predictive_accuracy: 0.8677, prior_entropy: 2.4836, recall: 0.8677, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.8587, scimark_benchmark: 916.5955, usercpu_time_millis: 570, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 500,
Jason 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.5469, kappa: 0.4292, kb_relative_information_score: 1712.0916, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 14840, precision: 0.5907, predictive_accuracy: 0.5685, prior_entropy: 2.5035, recall: 0.5685, relative_absolute_error: 1.051, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.9989, scimark_benchmark: 1368.9272, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set primary-tumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.4302, kappa: 0.3874, kb_relative_information_score: 276.0366, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 3390, precision: 0.4095, predictive_accuracy: 0.4681, prior_entropy: 3.7542, recall: 0.4681, relative_absolute_error: 1.0295, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2023, root_relative_squared_error: 1.0062, scimark_benchmark: 916.5955, usercpu_time_millis: 730, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 700,
Jason 10 years ago
ran flow weka.KernelLogisticRegression_RBFKernel(1) on task Supervised Classification on data set puma8NH
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8266, kappa: 0.6532, kb_relative_information_score: 35084.0305, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.5, number_of_instances: 81920, precision: 0.8269, predictive_accuracy: 0.8266, prior_entropy: 1, recall: 0.8266, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7598, scimark_benchmark: 1368.9272, usercpu_time_millis: 458490, usercpu_time_millis_testing: 8660, usercpu_time_millis_training: 449830,
Jason 10 years ago
ran flow weka.MultilayerPerceptronCS(1) on task Learning Curve on data set waveform-5000
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.836, kappa: 0.754, kb_relative_information_score: 0.7757, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 1.5849, recall: 0.836, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6677, scimark_benchmark: 1572.5758, usercpu_time_millis: 68290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 68210,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9927, kappa: -0.0008, kb_relative_information_score: -957517.4639, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.0075, number_of_instances: 10660, precision: 0.9906, predictive_accuracy: 0.9948, prior_entropy: 0.0626, recall: 0.9948, relative_absolute_error: 29.9739, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2746, root_relative_squared_error: 4.9198, scimark_benchmark: 1335.4072, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.9667, kappa: -0.0034, kb_relative_information_score: 473.0734, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.0452, number_of_instances: 3230, precision: 0.9571, predictive_accuracy: 0.9765, prior_entropy: 0.1666, recall: 0.9765, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1534, root_relative_squared_error: 1.0532, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set shuttle-landing-control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1335.4072,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set lung-cancer
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.6979, kappa: 0.2478, kb_relative_information_score: 64.9234, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4099, number_of_instances: 320, precision: 0.696, predictive_accuracy: 0.7, prior_entropy: 0.874, recall: 0.7, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4498, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.2177, scimark_benchmark: 916.5955,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8525, kappa: 0.7059, kb_relative_information_score: 482.3691, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7737, scimark_benchmark: 916.5955, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 109.7272, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5955, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Jason 10 years ago
ran flow weka.MultilayerPerceptronCS(1) on task Learning Curve on data set yeast
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index 1 out of bounds for length 1
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set lung-cancer
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.375, kappa: 0.0504, kb_relative_information_score: 6.7922, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4393, number_of_instances: 32, precision: 0.375, predictive_accuracy: 0.375, prior_entropy: 1.57, recall: 0.375, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0271, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set BNG(tic-tac-toe)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7029, kappa: 0.3456, kb_relative_information_score: 4103.591, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7034, predictive_accuracy: 0.7025, prior_entropy: 0.9315, recall: 0.7025, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.1458, scimark_benchmark: 916.5955, usercpu_time_millis: 1203250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1203150,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_instanceincremental.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.8583, kappa: 0.7085, kb_relative_information_score: -0.2555, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2324, number_of_instances: 24, precision: 0.888, predictive_accuracy: 0.875, prior_entropy: 1.3146, recall: 0.875, relative_absolute_error: 1.1207, root_mean_prior_squared_error: 0.3388, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.9684, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_ensembles.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.4596, kappa: 0.102, kb_relative_information_score: 2.8518, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3991, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3909, root_relative_squared_error: 1.0059, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_batchincremental.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.7097, kappa: 0.2759, kb_relative_information_score: -4.2732, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.2249, number_of_instances: 24, precision: 0.7342, predictive_accuracy: 0.7083, prior_entropy: 1.3842, recall: 0.7083, relative_absolute_error: 1.2506, root_mean_prior_squared_error: 0.3095, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.1581, scimark_benchmark: 932.5646, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_all.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.658, kappa: 0.3521, kb_relative_information_score: -1.6398, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.1912, number_of_instances: 23, precision: 0.6832, predictive_accuracy: 0.6522, prior_entropy: 1.9094, recall: 0.6522, relative_absolute_error: 1.248, root_mean_prior_squared_error: 0.2919, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.1499, scimark_benchmark: 932.5646, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
Felicia West 10 years ago
ran flow weka.SimpleLogistic(3) on task Supervised Classification on data set eating
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.6267, kappa: 0.5628, kb_relative_information_score: 571.0846, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6284, predictive_accuracy: 0.6254, prior_entropy: 2.8053, recall: 0.6254, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.7963, scimark_benchmark: 932.5646, usercpu_time_millis: 151790, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 150910,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set BNG(breast-w)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9792, kappa: 0.9543, kb_relative_information_score: 12429.7653, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4529, number_of_instances: 12990, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 0.9287, recall: 0.9792, relative_absolute_error: 0.0459, root_mean_prior_squared_error: 0.4767, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3024, scimark_benchmark: 1337.7959, usercpu_time_millis: 2440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2400,
Felicia West 10 years ago
ran flow weka.SimpleLogistic(3) on task Supervised Classification on data set oh10.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.7748, kappa: 0.7436, kb_relative_information_score: 7876.7228, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1768, number_of_instances: 10500, precision: 0.7777, predictive_accuracy: 0.7739, prior_entropy: 3.2054, recall: 0.7739, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6185, scimark_benchmark: 1337.7959, usercpu_time_millis: 98500, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 97460,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_instanceincremental.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8409, kappa: 0.6576, kb_relative_information_score: -7.494, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2277, number_of_instances: 74, precision: 0.8222, predictive_accuracy: 0.8649, prior_entropy: 1.3146, recall: 0.8649, relative_absolute_error: 1.1823, root_mean_prior_squared_error: 0.3317, root_mean_squared_error: 0.3403, root_relative_squared_error: 1.0258, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_ensembles.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6878, kappa: 0.4485, kb_relative_information_score: 9.4734, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.2904, number_of_instances: 74, precision: 0.7081, predictive_accuracy: 0.7162, prior_entropy: 1.5899, recall: 0.7162, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.3782, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9768, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_batchincremental.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5509, kappa: 0.0232, kb_relative_information_score: -11.2754, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5079, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 1.1891, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3831, root_relative_squared_error: 1.0933, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set meta_all.arff
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.5865, kappa: 0.3119, kb_relative_information_score: 1.9014, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.2065, number_of_instances: 71, precision: 0.565, predictive_accuracy: 0.6197, prior_entropy: 1.9094, recall: 0.6197, relative_absolute_error: 1.1564, root_mean_prior_squared_error: 0.317, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.0588, scimark_benchmark: 1318.1432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set BNG(breast-w)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9799, kappa: 0.9555, kb_relative_information_score: 37534.2632, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9287, recall: 0.9799, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2986, scimark_benchmark: 1318.1432, usercpu_time_millis: 2480, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2430,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.6416, kappa: 0.5424, kb_relative_information_score: 80.1318, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6551, predictive_accuracy: 0.6446, prior_entropy: 2.2629, recall: 0.6446, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8702, scimark_benchmark: 869.6028, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set braziltourism
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.7026, kappa: 0.1635, kb_relative_information_score: -111.909, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.1103, number_of_instances: 135, precision: 0.6385, predictive_accuracy: 0.7852, prior_entropy: 1.1781, recall: 0.7852, relative_absolute_error: 1.8927, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3089, root_relative_squared_error: 1.3287, scimark_benchmark: 1318.1432, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 1318.1432, usercpu_time_millis: 3220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3120,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8702, kappa: 0.8433, kb_relative_information_score: 719.8586, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.27, number_of_instances: 2121, precision: 0.8691, predictive_accuracy: 0.8736, prior_entropy: 2.4836, recall: 0.8736, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3674, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.8589, scimark_benchmark: 1369.9744, usercpu_time_millis: 570, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 540,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.5131, kappa: 0.3862, kb_relative_information_score: 48.3706, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5533, predictive_accuracy: 0.5399, prior_entropy: 2.5035, recall: 0.5399, relative_absolute_error: 1.0554, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2793, root_relative_squared_error: 1.0032, scimark_benchmark: 1318.1432, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8246, kappa: 0.8164, kb_relative_information_score: 41034.9964, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 200000, precision: 0.8298, predictive_accuracy: 0.8235, prior_entropy: 4.6998, recall: 0.8235, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9679, scimark_benchmark: 1369.9744, usercpu_time_millis: 10530, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 9950,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9957, kb_relative_information_score: -31615.1235, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.0062, number_of_instances: 351, precision: 0.9943, predictive_accuracy: 0.9972, prior_entropy: 0.0626, recall: 0.9972, relative_absolute_error: 35.6941, root_mean_prior_squared_error: 0.0436, root_mean_squared_error: 0.2733, root_relative_squared_error: 6.2693, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set primary-tumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.4313, kappa: 0.4038, kb_relative_information_score: 8.3549, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0811, number_of_instances: 111, precision: 0.4289, predictive_accuracy: 0.4865, prior_entropy: 3.7542, recall: 0.4865, relative_absolute_error: 1.0306, root_mean_prior_squared_error: 0.2009, root_mean_squared_error: 0.2026, root_relative_squared_error: 1.0082, scimark_benchmark: 1297.6356, usercpu_time_millis: 990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 970,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 22.8745, mean_prior_absolute_error: 0.0246, number_of_instances: 106, precision: 1, predictive_accuracy: 1, prior_entropy: 0.1666, recall: 1, root_mean_prior_squared_error: 0.0246, scimark_benchmark: 1318.1432, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set shuttle-landing-control
0 likes - 0 downloads - 0 reach - f_measure: 1, kappa: 1, kb_relative_information_score: 1.3822, mean_prior_absolute_error: 0.1176, number_of_instances: 4, precision: 1, predictive_accuracy: 1, prior_entropy: 0.5226, recall: 1, root_mean_prior_squared_error: 0.1176, scimark_benchmark: 1318.1432,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.6428, kappa: 0.5464, kb_relative_information_score: 239.4429, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.645, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.8706, scimark_benchmark: 1297.6356, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set braziltourism
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -328.7849, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7051, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.8901, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.3261, scimark_benchmark: 1318.1432, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.1956, kappa: 0.1309, kb_relative_information_score: 231.9285, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1683, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 1318.1432, usercpu_time_millis: 3120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3030,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8639, kappa: 0.8362, kb_relative_information_score: 2187.5485, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8621, predictive_accuracy: 0.8678, prior_entropy: 2.4836, recall: 0.8678, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.8587, scimark_benchmark: 882.7843, usercpu_time_millis: 600, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 530,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set primary-tumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.4385, kappa: 0.3976, kb_relative_information_score: 27.5214, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.0812, number_of_instances: 339, precision: 0.4177, predictive_accuracy: 0.4749, prior_entropy: 3.7542, recall: 0.4749, relative_absolute_error: 1.0296, root_mean_prior_squared_error: 0.2011, root_mean_squared_error: 0.2024, root_relative_squared_error: 1.0063, scimark_benchmark: 1318.1432, usercpu_time_millis: 770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 760,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set yeast
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5496, kappa: 0.4326, kb_relative_information_score: 172.6681, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.1555, number_of_instances: 1484, precision: 0.5981, predictive_accuracy: 0.5714, prior_entropy: 2.5035, recall: 0.5714, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2787, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9986, scimark_benchmark: 882.7843, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9676, kb_relative_information_score: 66.6812, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0452, number_of_instances: 323, precision: 0.9571, predictive_accuracy: 0.9783, prior_entropy: 0.1666, recall: 0.9783, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.1456, root_mean_squared_error: 0.1472, root_relative_squared_error: 1.0108, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set solar-flare
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9925, kappa: -0.0014, kb_relative_information_score: -95759.7371, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.0075, number_of_instances: 1066, precision: 0.9906, predictive_accuracy: 0.9944, prior_entropy: 0.0626, recall: 0.9944, relative_absolute_error: 29.9879, root_mean_prior_squared_error: 0.0558, root_mean_squared_error: 0.2748, root_relative_squared_error: 4.9232, scimark_benchmark: 882.7843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7484, kappa: 0.4836, kb_relative_information_score: 112906.6435, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7654, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9966, scimark_benchmark: 882.7843, usercpu_time_millis: 244040, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 243960,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set waveform-5000
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8644, kappa: 0.7971, kb_relative_information_score: 27294.5167, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4444, number_of_instances: 50000, precision: 0.8652, predictive_accuracy: 0.8647, prior_entropy: 1.5849, recall: 0.8647, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6847, scimark_benchmark: 1312.3073, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9756, kappa: 0.9729, kb_relative_information_score: 5954.0547, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.9759, predictive_accuracy: 0.9756, prior_entropy: 3.3219, recall: 0.9756, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.9082, scimark_benchmark: 1321.527, usercpu_time_millis: 5150, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 4530,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9633, kappa: 0.945, kb_relative_information_score: 911.6941, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4444, number_of_instances: 1500, precision: 0.9641, predictive_accuracy: 0.9633, prior_entropy: 1.585, recall: 0.9633, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6083, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set ionosphere
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8758, kappa: 0.7251, kb_relative_information_score: 2561.3605, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.4604, number_of_instances: 3510, precision: 0.8865, predictive_accuracy: 0.8801, prior_entropy: 0.9425, recall: 0.8801, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.722, scimark_benchmark: 942.6843, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set vote
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9597, kappa: 0.9151, kb_relative_information_score: 3968.8825, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4742, number_of_instances: 4350, precision: 0.96, predictive_accuracy: 0.9595, prior_entropy: 0.9627, recall: 0.9595, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4131, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set hepatitis
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.8584, kappa: 0.5631, kb_relative_information_score: 777.2798, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3299, number_of_instances: 1550, precision: 0.8571, predictive_accuracy: 0.86, prior_entropy: 0.7418, recall: 0.86, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9244, scimark_benchmark: 942.6843,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7299, kappa: 0.6548, kb_relative_information_score: 3386.8317, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3748, number_of_instances: 8460, precision: 0.7276, predictive_accuracy: 0.741, prior_entropy: 1.9991, recall: 0.741, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.8194, scimark_benchmark: 942.6843, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 9208.9607, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 9580, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1312.3073, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set heart-statlog
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8377, kappa: 0.6707, kb_relative_information_score: 1810.1064, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.4939, number_of_instances: 2700, precision: 0.838, predictive_accuracy: 0.8381, prior_entropy: 0.9912, recall: 0.8381, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8096, scimark_benchmark: 942.6843,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set trains
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.697, kappa: 0.4, kb_relative_information_score: 40, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7083, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0954, scimark_benchmark: 942.6843,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set heart-h
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.8286, kappa: 0.6235, kb_relative_information_score: 93.6587, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1867, number_of_instances: 2940, precision: 0.8305, predictive_accuracy: 0.832, prior_entropy: 1.0314, recall: 0.832, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.949, scimark_benchmark: 942.6843, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9298, kappa: 0.9236, kb_relative_information_score: 1288.855, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.0961, number_of_instances: 6830, precision: 0.9321, predictive_accuracy: 0.9303, prior_entropy: 3.8572, recall: 0.9303, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.213, root_relative_squared_error: 0.972, scimark_benchmark: 942.6843, usercpu_time_millis: 930, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 750,
Felicia West 10 years ago
ran flow weka.SMO_PolyKernel(10) on task Supervised Classification on data set heart-c
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8393, kappa: 0.6754, kb_relative_information_score: 386.2765, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2004, number_of_instances: 3030, precision: 0.8418, predictive_accuracy: 0.8403, prior_entropy: 1.0792, recall: 0.8403, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9124, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,