OpenML

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set confidence

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8202, kappa: 0.8, kb_relative_information_score: 49.3293, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2778, number_of_instances: 72, precision: 0.8432, predictive_accuracy: 0.8333, prior_entropy: 2.585, recall: 0.8333, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.6291,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.4934, kappa: 0.2119, kb_relative_information_score: 228.0064, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4971, predictive_accuracy: 0.5051, prior_entropy: 1.5392, recall: 0.5051, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9524,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set colic

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7748, kappa: 0.4825, kb_relative_information_score: 128.0332, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4471, number_of_instances: 368, precision: 0.7869, predictive_accuracy: 0.788, prior_entropy: 0.9227, recall: 0.788, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4727, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8281,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set optdigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9583, kappa: 0.9533, kb_relative_information_score: 5350.1177, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9593, predictive_accuracy: 0.958, prior_entropy: 3.3218, recall: 0.958, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3107,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8554, kappa: 0.7083, kb_relative_information_score: 401.5013, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8569, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6444,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7385, kappa: 0.3561, kb_relative_information_score: 221.5812, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7385, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8818,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set dermatology

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9505, kappa: 0.9383, kb_relative_information_score: 343.1861, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2664, number_of_instances: 366, precision: 0.951, predictive_accuracy: 0.9508, prior_entropy: 2.4378, recall: 0.9508, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.3649, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.3173,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9251, kappa: 0.9121, kb_relative_information_score: 2056.7966, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.926, predictive_accuracy: 0.9247, prior_entropy: 2.8074, recall: 0.9247, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4205,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.971, kappa: 0.9662, kb_relative_information_score: 2220.0741, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9711, predictive_accuracy: 0.971, prior_entropy: 2.8074, recall: 0.971, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.2354,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set sonar

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8266, kappa: 0.6514, kb_relative_information_score: 131.2109, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.827, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7863,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set soybean

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9384, kappa: 0.9326, kb_relative_information_score: 645.157, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9391, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3459,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8342, kappa: 0.7793, kb_relative_information_score: 673.5511, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8341, predictive_accuracy: 0.8345, prior_entropy: 1.9991, recall: 0.8345, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5217,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set vote

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9495, kappa: 0.8938, kb_relative_information_score: 364.8513, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4742, number_of_instances: 435, precision: 0.9498, predictive_accuracy: 0.9494, prior_entropy: 0.9627, recall: 0.9494, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4621,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set waveform-5000

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8623, kappa: 0.7936, kb_relative_information_score: 3804.5941, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8624, predictive_accuracy: 0.8624, prior_entropy: 1.5849, recall: 0.8624, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5305,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set zoo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9175, kappa: 0.8948, kb_relative_information_score: 89.2345, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2188, number_of_instances: 101, precision: 0.9157, predictive_accuracy: 0.9208, prior_entropy: 2.4427, recall: 0.9208, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.3294, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.3875,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set electricity

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7551, kappa: 0.4958, kb_relative_information_score: 15774.3153, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8222,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.6083, kappa: 0.5137, kb_relative_information_score: 338.3273, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6238, predictive_accuracy: 0.6291, prior_entropy: 2.2629, recall: 0.6291, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.8221,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set lung-cancer

0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.1).

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set wine

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9607, kappa: 0.9402, kb_relative_information_score: 160.828, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3098,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set shuttle-landing-control

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4259, f_measure: 0.3818, kappa: -0.25, kb_relative_information_score: -1.7527, mean_absolute_error: 0.5297, 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: 1.0981, root_mean_prior_squared_error: 0.49, root_mean_squared_error: 0.7224, root_relative_squared_error: 1.4742,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set vowel

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.618, kappa: 0.5722, kb_relative_information_score: 539.0684, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6345, predictive_accuracy: 0.6111, prior_entropy: 3.4594, recall: 0.6111, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7875,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4606, kb_relative_information_score: -9.1606, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0046,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set monks-problems-2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9315, kappa: 0.8451, kb_relative_information_score: 482.8552, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9396, predictive_accuracy: 0.9334, prior_entropy: 0.9279, recall: 0.9334, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.44,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set cars

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7616, kappa: 0.558, kb_relative_information_score: 202.1491, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3596, number_of_instances: 406, precision: 0.7651, predictive_accuracy: 0.7586, prior_entropy: 1.3317, recall: 0.7586, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4236, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8076,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set prnn_cushings

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.557, kappa: 0.4079, kb_relative_information_score: 9.5583, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.3447, number_of_instances: 27, precision: 0.6881, predictive_accuracy: 0.6296, prior_entropy: 1.8409, recall: 0.6296, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.4128, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.8725,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set analcatdata_authorship

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 833.7614, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.0975,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set tae

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.5486, kappa: 0.3249, kb_relative_information_score: 51.2706, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5509, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.052,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set isolet

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9656, kappa: 0.9643, kb_relative_information_score: 7564.9574, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9657, predictive_accuracy: 0.9656, prior_entropy: 4.7004, recall: 0.9656, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.2344,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set scene

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9746, kappa: 0.9136, kb_relative_information_score: 2137.1023, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.6786, recall: 0.9747, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.4164,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set wind_correlations

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8667, kappa: 0.7332, kb_relative_information_score: 27.5733, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9997, recall: 0.8667, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.6998,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set cleveland

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8342, kappa: 0.6655, kb_relative_information_score: 169.5702, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4966, number_of_instances: 303, precision: 0.836, predictive_accuracy: 0.835, prior_entropy: 0.9951, recall: 0.835, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7029,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set cpu

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9617, kappa: 0.8989, kb_relative_information_score: 179.9641, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9617, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4142,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set cholesterol

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.572, kappa: 0.1398, kb_relative_information_score: 23.8934, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4954, number_of_instances: 303, precision: 0.5788, predictive_accuracy: 0.5842, prior_entropy: 0.9935, recall: 0.5842, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.024,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set pyrim

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9323, kappa: 0.8606, kb_relative_information_score: 61.9227, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4872, number_of_instances: 74, precision: 0.9325, predictive_accuracy: 0.9324, prior_entropy: 0.9819, recall: 0.9324, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5051,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set pbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7036, kappa: 0.4018, kb_relative_information_score: 114.0514, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.495, number_of_instances: 418, precision: 0.704, predictive_accuracy: 0.7033, prior_entropy: 0.9928, recall: 0.7033, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4975, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9173,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set chatfield_4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.876, kappa: 0.7396, kb_relative_information_score: 164.9782, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8762, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6075,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set triazines

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7097, kappa: 0.4016, kb_relative_information_score: 48.6768, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.979, recall: 0.7097, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9666,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set cpu

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9615, kappa: 0.8976, kb_relative_information_score: 184.3478, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.3797, number_of_instances: 209, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.8205, recall: 0.9617, relative_absolute_error: 0.1059, root_mean_prior_squared_error: 0.4351, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.391,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set hutsof99_logis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.7001, kappa: 0.4, kb_relative_information_score: 24.6153, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7004, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0425,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set autoHorse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9609, kappa: 0.9187, kb_relative_information_score: 186.2851, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.9742, recall: 0.961, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.348,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set breastTumor

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.5487, kappa: 0.0675, kb_relative_information_score: 31.4573, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5471, predictive_accuracy: 0.5594, prior_entropy: 0.9815, recall: 0.5594, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0149,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set vinnie

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8042, kappa: 0.609, kb_relative_information_score: 215.2553, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8096, predictive_accuracy: 0.8053, prior_entropy: 0.9995, recall: 0.8053, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7174,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set auto93

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8082, kappa: 0.5968, kb_relative_information_score: 42.7289, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.813, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8042,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set rabe_131

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 44.9337, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9829, recall: 1, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.246,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set mu284

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 230.0483, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3575,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set pollution

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7315, kappa: 0.4637, kb_relative_information_score: 24.7587, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7364, predictive_accuracy: 0.7333, prior_entropy: 0.9992, recall: 0.7333, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8695,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set transplant

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 121.4023, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2653,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set mbagrade

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.5882, kappa: 0.1743, kb_relative_information_score: 12.7151, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.589, predictive_accuracy: 0.5902, prior_entropy: 0.9984, recall: 0.5902, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0372,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set mbagrade

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6305, kappa: 0.2675, kb_relative_information_score: 8.7898, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6448, predictive_accuracy: 0.6393, prior_entropy: 0.9984, recall: 0.6393, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9304,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set cloud

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4895, f_measure: 0.5923, kappa: 0.0067, kb_relative_information_score: 0.1023, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.5947, predictive_accuracy: 0.6944, prior_entropy: 0.8813, recall: 0.6944, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.0241,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set cloud

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.5768, kappa: -0.0183, kb_relative_information_score: -4.7531, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.4933, predictive_accuracy: 0.6944, prior_entropy: 0.8813, recall: 0.6944, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0418,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set visualizing_hamster

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4835, kappa: -0.0425, kb_relative_information_score: 1.4996, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.4827, predictive_accuracy: 0.4932, prior_entropy: 0.9937, recall: 0.4932, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6368, root_relative_squared_error: 1.2795,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set visualizing_hamster

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5386, f_measure: 0.5197, kappa: 0.0708, kb_relative_information_score: 1.9577, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5529, predictive_accuracy: 0.5616, prior_entropy: 0.9937, recall: 0.5616, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0555,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set rabe_148

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9545, kappa: 0.9091, kb_relative_information_score: 51.3157, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.955, predictive_accuracy: 0.9545, prior_entropy: 1, recall: 0.9545, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4351,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set rabe_148

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9393, kappa: 0.8788, kb_relative_information_score: 43.2266, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.941, predictive_accuracy: 0.9394, prior_entropy: 1, recall: 0.9394, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5792,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set witmer_census_1980

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6957, kappa: 0.3942, kb_relative_information_score: 17.8511, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.7059, predictive_accuracy: 0.7, prior_entropy: 0.9989, recall: 0.7, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9426,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set triazines

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.6967, kappa: 0.3702, kb_relative_information_score: 54.8442, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4854, number_of_instances: 186, precision: 0.7015, predictive_accuracy: 0.7043, prior_entropy: 0.979, recall: 0.7043, relative_absolute_error: 0.7177, root_mean_prior_squared_error: 0.4925, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.889,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set elusage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.763, kappa: 0.5172, kb_relative_information_score: 14.084, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.7629, predictive_accuracy: 0.7636, prior_entropy: 0.9891, recall: 0.7636, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9051,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set diabetes_numeric

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6527, kappa: 0.2777, kb_relative_information_score: 5.6373, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.655, predictive_accuracy: 0.6512, prior_entropy: 0.971, recall: 0.6512, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.0883,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set cholesterol

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.5578, kappa: 0.1073, kb_relative_information_score: 19.0697, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.4954, number_of_instances: 303, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 0.9935, recall: 0.5578, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1794,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set rmftsa_ctoarrivals

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9241, kappa: 0.839, kb_relative_information_score: 193.0856, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4726, number_of_instances: 264, precision: 0.9241, predictive_accuracy: 0.9242, prior_entropy: 0.9604, recall: 0.9242, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.486, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.4984,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set chatfield_4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8762, kappa: 0.7405, kb_relative_information_score: 144.8956, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4784, number_of_instances: 235, precision: 0.8762, predictive_accuracy: 0.8766, prior_entropy: 0.9689, recall: 0.8766, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.489, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6194,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set autoMpg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.897, kappa: 0.7936, kb_relative_information_score: 304.7846, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.8972, predictive_accuracy: 0.897, prior_entropy: 0.9982, recall: 0.897, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.563,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set autoHorse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9607, kappa: 0.9181, kb_relative_information_score: 178.3131, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9622, predictive_accuracy: 0.961, prior_entropy: 0.9742, recall: 0.961, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3897,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set fishcatch

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9559, kappa: 0.9083, kb_relative_information_score: 142.1242, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9567, predictive_accuracy: 0.9557, prior_entropy: 0.971, recall: 0.9557, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3598,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set bolts

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.847, kappa: 0.6591, kb_relative_information_score: 23.6241, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8488, predictive_accuracy: 0.85, prior_entropy: 0.9403, recall: 0.85, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6899,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set hungarian

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8417, kappa: 0.661, kb_relative_information_score: 168.886, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8456, predictive_accuracy: 0.8401, prior_entropy: 0.9439, recall: 0.8401, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.7515,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set witmer_census_1980

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.68, kappa: 0.359, kb_relative_information_score: 15.4447, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4992, number_of_instances: 50, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9989, recall: 0.68, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9476,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set elusage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 34.9543, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.554,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set diabetes_numeric

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.6744, kappa: 0.319, kb_relative_information_score: 6.8218, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4791, number_of_instances: 43, precision: 0.6744, predictive_accuracy: 0.6744, prior_entropy: 0.971, recall: 0.6744, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9286,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set pyrim

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8913, kappa: 0.7759, kb_relative_information_score: 55.0584, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4872, number_of_instances: 74, precision: 0.8921, predictive_accuracy: 0.8919, prior_entropy: 0.9819, recall: 0.8919, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4934, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.6803,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set hutsof99_logis

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.6978, kappa: 0.397, kb_relative_information_score: 18.9101, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7029, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.884,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set breastTumor

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6261, kappa: 0.2328, kb_relative_information_score: 46.7002, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6263, predictive_accuracy: 0.6259, prior_entropy: 0.9815, recall: 0.6259, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.1163,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set schlvote

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.6487, kappa: 0.0369, kb_relative_information_score: 6.1477, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.6351, predictive_accuracy: 0.7105, prior_entropy: 0.8485, recall: 0.7105, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9989,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set tecator

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9455, kappa: 0.8882, kb_relative_information_score: 207.643, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9469, predictive_accuracy: 0.9458, prior_entropy: 0.984, recall: 0.9458, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4566,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set fishcatch

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.943, kappa: 0.8809, kb_relative_information_score: 135.7686, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.943, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3631,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set visualizing_livestock

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.2392, kappa: 0.0865, kb_relative_information_score: 13.1471, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.2402, predictive_accuracy: 0.2692, prior_entropy: 2.3219, recall: 0.2692, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9647,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set fruitfly

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, f_measure: 0.504, kappa: -0.0437, kb_relative_information_score: -7.2942, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.498, predictive_accuracy: 0.544, prior_entropy: 0.9671, recall: 0.544, relative_absolute_error: 1.0488, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.1042,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set veteran

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6534, kappa: 0.1881, kb_relative_information_score: 12.8526, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6505, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0855,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set veteran

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6221, kappa: 0.0954, kb_relative_information_score: 9.5636, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6129, predictive_accuracy: 0.6423, prior_entropy: 0.9006, recall: 0.6423, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0514,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set pwLinear

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.855, kappa: 0.7097, kb_relative_information_score: 132.9966, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.855, predictive_accuracy: 0.855, prior_entropy: 0.9994, recall: 0.855, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7031,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set machine_cpu

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9123, kappa: 0.7727, kb_relative_information_score: 151.9174, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9126, predictive_accuracy: 0.9139, prior_entropy: 0.8417, recall: 0.9139, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5955,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set visualizing_environmental

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 26.2713, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9418,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set servo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.9169, kappa: 0.7659, kb_relative_information_score: 115.5818, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.918, predictive_accuracy: 0.9162, prior_entropy: 0.7793, recall: 0.9162, relative_absolute_error: 0.2744, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6315,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set servo

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.935, kappa: 0.8177, kb_relative_information_score: 117.682, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.3533, number_of_instances: 167, precision: 0.9366, predictive_accuracy: 0.9341, prior_entropy: 0.7793, recall: 0.9341, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4193, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5386,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set autoPrice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9621, kappa: 0.9151, kb_relative_information_score: 138.2365, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.9264, recall: 0.9623, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4094,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set rabe_266

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 109.2436, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3297,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set collins

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 483.8845, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 3.6642, recall: 1, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.1197,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 67823.7483, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 3.3198, recall: 0.9695, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0696, root_relative_squared_error: 0.232,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set vineyard

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8077, kappa: 0.6131, kb_relative_information_score: 26.2925, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8223,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set fruitfly

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5452, kappa: 0.0512, kb_relative_information_score: -1.9884, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.477, number_of_instances: 125, precision: 0.556, predictive_accuracy: 0.592, prior_entropy: 0.9671, recall: 0.592, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4882, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0696,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set pwLinear

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.89, kappa: 0.7799, kb_relative_information_score: 146.6208, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.4996, number_of_instances: 200, precision: 0.8902, predictive_accuracy: 0.89, prior_entropy: 0.9994, recall: 0.89, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6318,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set baskball

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.6348, kappa: 0.2721, kb_relative_information_score: 15.3139, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.6377, predictive_accuracy: 0.6354, prior_entropy: 0.9997, recall: 0.6354, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5674, root_relative_squared_error: 1.1351,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set visualizing_environmental

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6847, kappa: 0.3706, kb_relative_information_score: 20.2217, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6875, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9141,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set pharynx

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7867, kappa: 0.5428, kb_relative_information_score: 92.018, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4712, number_of_instances: 195, precision: 0.7873, predictive_accuracy: 0.7897, prior_entropy: 0.9585, recall: 0.7897, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.4853, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8621,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set pharynx

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7978, kappa: 0.5674, kb_relative_information_score: 92.5272, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4712, number_of_instances: 195, precision: 0.7979, predictive_accuracy: 0.8, prior_entropy: 0.9585, recall: 0.8, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4853, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8112,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set autoPrice

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9433, kappa: 0.8732, kb_relative_information_score: 125.7101, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9432, predictive_accuracy: 0.9434, prior_entropy: 0.9264, recall: 0.9434, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4762,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set rabe_265

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7377, kappa: 0.4543, kb_relative_information_score: 18.1987, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.7458, predictive_accuracy: 0.7451, prior_entropy: 0.9791, recall: 0.7451, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9007,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set visualizing_slope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9091, kappa: 0.8083, kb_relative_information_score: 33.8764, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4753, number_of_instances: 44, precision: 0.9091, predictive_accuracy: 0.9091, prior_entropy: 0.9656, recall: 0.9091, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5465,

Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set machine_cpu

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9383, kappa: 0.8441, kb_relative_information_score: 167.8589, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.3933, number_of_instances: 209, precision: 0.9393, predictive_accuracy: 0.9378, prior_entropy: 0.8417, recall: 0.9378, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4429, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4891,

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