OpenML
ID's
Sort: best match
1786 results
Filter results by:
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set sleep
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.6872, kappa: 0.3754, kb_relative_information_score: 18.3655, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6995, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0352,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set sleep
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.627, kappa: 0.2503, kb_relative_information_score: 8.9026, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6279, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0739,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set auto_price
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 135.6679, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4153,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set bodyfat
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9881, kappa: 0.9762, kb_relative_information_score: 211.8729, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4999, number_of_instances: 252, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9998, recall: 0.9881, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3264,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set rabe_265
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.6498, kappa: 0.2917, kb_relative_information_score: 11.4802, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.485, number_of_instances: 51, precision: 0.6605, predictive_accuracy: 0.6471, prior_entropy: 0.9791, recall: 0.6471, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4922, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9953,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set rabe_266
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9417, kappa: 0.8835, kb_relative_information_score: 93.9936, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.945, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5511,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set newton_hema
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7993, kappa: 0.6, kb_relative_information_score: 53.052, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.804, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7789,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set newton_hema
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7846, kappa: 0.5714, kb_relative_information_score: 66.8351, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.5, number_of_instances: 140, precision: 0.7917, predictive_accuracy: 0.7857, prior_entropy: 1, recall: 0.7857, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.7991,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set prnn_viruses
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9508, kappa: 0.9079, kb_relative_information_score: 49.6215, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2735, number_of_instances: 61, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 1.5019, recall: 0.9508, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.4527,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set prnn_viruses
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9326, kappa: 0.8723, kb_relative_information_score: 48.9083, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2735, number_of_instances: 61, precision: 0.942, predictive_accuracy: 0.9344, prior_entropy: 1.5019, recall: 0.9344, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3656, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4628,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.0).
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set vineyard
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7682, kappa: 0.5329, kb_relative_information_score: 22.1226, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.4972, number_of_instances: 52, precision: 0.7695, predictive_accuracy: 0.7692, prior_entropy: 0.996, recall: 0.7692, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.814,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set baskball
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.7292, kappa: 0.4581, kb_relative_information_score: 22.8641, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.4998, number_of_instances: 96, precision: 0.7292, predictive_accuracy: 0.7292, prior_entropy: 0.9997, recall: 0.7292, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.951,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set auto_price
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9497, kappa: 0.8878, kb_relative_information_score: 139.7764, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4492, number_of_instances: 159, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9264, recall: 0.9497, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4736, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4581,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set wisconsin
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4939, kappa: -0.0186, kb_relative_information_score: -1.378, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4933, predictive_accuracy: 0.4948, prior_entropy: 0.9963, recall: 0.4948, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6552, root_relative_squared_error: 1.3139,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set wind_correlations
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9333, kappa: 0.8665, kb_relative_information_score: 36.6292, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4998, number_of_instances: 45, precision: 0.9341, predictive_accuracy: 0.9333, prior_entropy: 0.9997, recall: 0.9333, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5022,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set schlvote
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7483, kappa: 0.3241, kb_relative_information_score: 7.2405, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3934, number_of_instances: 38, precision: 0.7446, predictive_accuracy: 0.7632, prior_entropy: 0.8485, recall: 0.7632, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.4405, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.9777,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set tecator
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9414, kappa: 0.8797, kb_relative_information_score: 158.0184, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9424, predictive_accuracy: 0.9417, prior_entropy: 0.984, recall: 0.9417, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5079,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set bolts
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8193, kappa: 0.5954, kb_relative_information_score: 14.9117, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.8243, predictive_accuracy: 0.825, prior_entropy: 0.9403, recall: 0.825, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8931,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set hungarian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.793, kappa: 0.5462, kb_relative_information_score: 158.4227, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.7928, predictive_accuracy: 0.7959, prior_entropy: 0.9439, recall: 0.7959, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8474,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set vinnie
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8235, kappa: 0.6468, kb_relative_information_score: 225.8401, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.824, predictive_accuracy: 0.8237, prior_entropy: 0.9995, recall: 0.8237, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6864,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set auto93
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8002, kappa: 0.5681, kb_relative_information_score: 48.9636, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8075, predictive_accuracy: 0.8065, prior_entropy: 0.9573, recall: 0.8065, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8099,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set rabe_131
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.96, kappa: 0.9179, kb_relative_information_score: 42.1556, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4877, number_of_instances: 50, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 0.9829, recall: 0.96, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4478,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set pollution
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7661, kappa: 0.5318, kb_relative_information_score: 30.0492, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4995, number_of_instances: 60, precision: 0.7673, predictive_accuracy: 0.7667, prior_entropy: 0.9992, recall: 0.7667, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8535,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set transplant
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 122.3503, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2598,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set biomed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8739, kappa: 0.7232, kb_relative_information_score: 136.4601, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.875, predictive_accuracy: 0.8756, prior_entropy: 0.9428, recall: 0.8756, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6819,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set biomed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8983, kappa: 0.7771, kb_relative_information_score: 143.3593, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9428, recall: 0.8995, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6094,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... _perceptron.MLPClassifier))(1) on task Supervised Classification on data set visualizing_livestock
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.1453, kappa: -0.0481, kb_relative_information_score: 3.4647, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.32, number_of_instances: 130, precision: 0.1356, predictive_accuracy: 0.1615, prior_entropy: 2.3219, recall: 0.1615, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0097,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... ic_gradient.SGDClassifier))(1) on task Supervised Classification on data set visualizing_slope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8618, kappa: 0.706, kb_relative_information_score: 27.9467, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4753, number_of_instances: 44, precision: 0.8638, predictive_accuracy: 0.8636, prior_entropy: 0.9656, recall: 0.8636, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4869, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7323,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set autoMpg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9196, kappa: 0.8388, kb_relative_information_score: 333.7613, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4987, number_of_instances: 398, precision: 0.9196, predictive_accuracy: 0.9196, prior_entropy: 0.9982, recall: 0.9196, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5678,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set autoHorse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9509, kappa: 0.8976, kb_relative_information_score: 183.8296, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4821, number_of_instances: 205, precision: 0.9523, predictive_accuracy: 0.9512, prior_entropy: 0.9742, recall: 0.9512, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4499,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set breastTumor
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5627, kappa: 0.1016, kb_relative_information_score: 26.4689, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5624, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 0.8972, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3397,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set tecator
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9374, kappa: 0.8716, kb_relative_information_score: 195.1563, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4888, number_of_instances: 240, precision: 0.9375, predictive_accuracy: 0.9375, prior_entropy: 0.984, recall: 0.9375, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4286,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set fishcatch
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9432, kappa: 0.8821, kb_relative_information_score: 138.7951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4797, number_of_instances: 158, precision: 0.9441, predictive_accuracy: 0.943, prior_entropy: 0.971, recall: 0.943, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4896, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4874,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set bolts
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.796, kappa: 0.5455, kb_relative_information_score: 19.5359, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.4571, number_of_instances: 40, precision: 0.7964, predictive_accuracy: 0.8, prior_entropy: 0.9403, recall: 0.8, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7095,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set hungarian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.8367, kappa: 0.6459, kb_relative_information_score: 186.1965, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8367, predictive_accuracy: 0.8367, prior_entropy: 0.9439, recall: 0.8367, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8415,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set hungarian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.827, kappa: 0.6202, kb_relative_information_score: 146.7172, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.4614, number_of_instances: 294, precision: 0.8282, predictive_accuracy: 0.8299, prior_entropy: 0.9439, recall: 0.8299, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4802, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7289,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set vinnie
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8342, kappa: 0.6682, kb_relative_information_score: 211.4756, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4997, number_of_instances: 380, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9995, recall: 0.8342, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6911,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set auto93
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.8154, kappa: 0.6039, kb_relative_information_score: 55.7555, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.4701, number_of_instances: 93, precision: 0.8154, predictive_accuracy: 0.8172, prior_entropy: 0.9573, recall: 0.8172, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8825,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set mu284
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 278, mean_absolute_error: 0.0106, 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: 0.0211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2056,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mu284
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 261.4183, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2348,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set transplant
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 117.7733, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2527,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set cloud
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5974, kappa: 0.0248, kb_relative_information_score: 25.691, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6461, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.192,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set cloud
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5974, kappa: 0.0248, kb_relative_information_score: -2.099, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4185, number_of_instances: 108, precision: 0.6461, predictive_accuracy: 0.7037, prior_entropy: 0.8813, recall: 0.7037, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4566, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.0105,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set rabe_148
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9242, kappa: 0.8485, kb_relative_information_score: 56, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9246, predictive_accuracy: 0.9242, prior_entropy: 1, recall: 0.9242, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5505,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set plasma_retinol
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5539, kappa: 0.0935, kb_relative_information_score: 43.6647, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.5668, predictive_accuracy: 0.5841, prior_entropy: 0.9827, recall: 0.5841, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.6449, root_relative_squared_error: 1.3057,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set rabe_166
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.85, kappa: 0.7007, kb_relative_information_score: 27.9541, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.8543, predictive_accuracy: 0.85, prior_entropy: 0.9984, recall: 0.85, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7756,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set humandevel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8767, kappa: 0.7538, kb_relative_information_score: 98, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8802, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7016,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set hutsof99_child_witness
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7619, kappa: 0.5059, kb_relative_information_score: 20.9129, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9941,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set rabe_176
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.6708, kappa: 0.3429, kb_relative_information_score: 7.392, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.5, number_of_instances: 70, precision: 0.6727, predictive_accuracy: 0.6714, prior_entropy: 1, recall: 0.6714, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.958,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set lowbwt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.8428, kappa: 0.6885, kb_relative_information_score: 99.5119, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8713, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.5099, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7048,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set visualizing_ethanol
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5563, f_measure: 0.5566, kappa: 0.1127, kb_relative_information_score: 9.943, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.3318,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set prnn_fglass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, kappa: 0.4631, kb_relative_information_score: 109.7648, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2465, number_of_instances: 214, predictive_accuracy: 0.6168, prior_entropy: 2.1997, recall: 0.6168, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3574, root_relative_squared_error: 1.0198,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9933, kappa: 0.9849, kb_relative_information_score: 145.2384, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4452, number_of_instances: 150, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9205, recall: 0.9933, relative_absolute_error: 0.0386, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.0964,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8617, kappa: 0.6823, kb_relative_information_score: 117.3026, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8616, predictive_accuracy: 0.8634, prior_entropy: 0.9134, recall: 0.8634, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6524,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8447, kappa: 0.6868, kb_relative_information_score: 85.8365, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8449, predictive_accuracy: 0.8446, prior_entropy: 0.9937, recall: 0.8446, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.706,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set arrhythmia
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7878, kappa: 0.572, kb_relative_information_score: 177.9752, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7924, predictive_accuracy: 0.7898, prior_entropy: 0.9949, recall: 0.7898, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7938,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set gina_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8515, kappa: 0.7029, kb_relative_information_score: 2437.5839, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8515, predictive_accuracy: 0.8515, prior_entropy: 0.9998, recall: 0.8515, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7708,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set ada_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7548, f_measure: 0.8375, kappa: 0.5499, kb_relative_information_score: 2434.2043, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8372, predictive_accuracy: 0.8444, prior_entropy: 0.8085, recall: 0.8444, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9133,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set ada_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8909, f_measure: 0.8386, kappa: 0.5533, kb_relative_information_score: 1798.5652, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8383, predictive_accuracy: 0.8452, prior_entropy: 0.8085, recall: 0.8452, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7665,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set mozilla4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.8362, kappa: 0.6285, kb_relative_information_score: 9475.101, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8361, predictive_accuracy: 0.8364, prior_entropy: 0.9135, recall: 0.8364, relative_absolute_error: 0.3707, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8611,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mozilla4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8977, kappa: 0.7681, kb_relative_information_score: 9591.1919, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8977, predictive_accuracy: 0.8978, prior_entropy: 0.9135, recall: 0.8978, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6245,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set jEdit_4.2_4.3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6218, kappa: 0.2332, kb_relative_information_score: 86.4835, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6213, predictive_accuracy: 0.6233, prior_entropy: 0.992, recall: 0.6233, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6138, root_relative_squared_error: 1.2344,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jEdit_4.2_4.3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5901, kappa: 0.1781, kb_relative_information_score: 18.8498, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6039, predictive_accuracy: 0.607, prior_entropy: 0.992, recall: 0.607, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9892,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.8989, kappa: 0.4856, kb_relative_information_score: 663.0266, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.9191,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.884, kappa: 0.3839, kb_relative_information_score: 332.0879, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8968, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8172,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.8733, kappa: 0.1873, kb_relative_information_score: 464.7672, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8793, predictive_accuracy: 0.9028, prior_entropy: 0.478, recall: 0.9028, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3118, root_relative_squared_error: 1.0288,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.8547, kappa: 0.0505, kb_relative_information_score: -24.0299, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.992,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.7555, kappa: 0.1267, kb_relative_information_score: 3114.2342, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7709, predictive_accuracy: 0.8112, prior_entropy: 0.7088, recall: 0.8112, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4345, root_relative_squared_error: 1.0999,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.751, kappa: 0.1091, kb_relative_information_score: 439.9355, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.778, predictive_accuracy: 0.8126, prior_entropy: 0.7088, recall: 0.8126, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9699,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set mc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.6923, kappa: 0.2736, kb_relative_information_score: 49.9716, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.6956, predictive_accuracy: 0.7143, prior_entropy: 0.9099, recall: 0.7143, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1431,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.6165, kappa: 0.1111, kb_relative_information_score: 12.7395, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4381, number_of_instances: 161, precision: 0.661, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9676,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set cm1_req
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.6869, kappa: 0.0405, kb_relative_information_score: 7.7977, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.3518, number_of_instances: 89, precision: 0.6676, predictive_accuracy: 0.7191, prior_entropy: 0.7793, recall: 0.7191, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.53, root_relative_squared_error: 1.2696,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set cm1_req
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, kb_relative_information_score: 0.6876, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.3518, number_of_instances: 89, predictive_accuracy: 0.7753, prior_entropy: 0.7793, recall: 0.7753, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4174, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.9953,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set ar1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 21.7768, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0952,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set ar1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, kb_relative_information_score: -17.8031, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1436, number_of_instances: 121, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set mbagrade
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.652, kappa: 0.3042, kb_relative_information_score: 18.8557, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4988, number_of_instances: 61, precision: 0.6572, predictive_accuracy: 0.6557, prior_entropy: 0.9984, recall: 0.6557, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5867, root_relative_squared_error: 1.1749,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set visualizing_hamster
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.5393, kappa: 0.0702, kb_relative_information_score: 6.1375, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.5408, predictive_accuracy: 0.5479, prior_entropy: 0.9937, recall: 0.5479, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.6724, root_relative_squared_error: 1.3509,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set visualizing_hamster
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.5988, kappa: 0.2003, kb_relative_information_score: 7.2241, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4955, number_of_instances: 73, precision: 0.617, predictive_accuracy: 0.6164, prior_entropy: 0.9937, recall: 0.6164, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9771,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set rabe_148
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9697, kappa: 0.9394, kb_relative_information_score: 53.7003, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.5, number_of_instances: 66, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 1, recall: 0.9697, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3738,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set hip
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7772, kappa: 0.5537, kb_relative_information_score: 29.9521, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.7787, predictive_accuracy: 0.7778, prior_entropy: 0.9991, recall: 0.7778, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9435,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set hip
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8334, kappa: 0.6667, kb_relative_information_score: 25.6441, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4993, number_of_instances: 54, precision: 0.834, predictive_accuracy: 0.8333, prior_entropy: 0.9991, recall: 0.8333, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7116,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set plasma_retinol
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.4517, kappa: -0.0088, kb_relative_information_score: 0.3211, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.488, number_of_instances: 315, precision: 0.4969, predictive_accuracy: 0.5651, prior_entropy: 0.9827, recall: 0.5651, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0031,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set rabe_166
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7751, kappa: 0.55, kb_relative_information_score: 22.8131, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4988, number_of_instances: 40, precision: 0.7763, predictive_accuracy: 0.775, prior_entropy: 0.9984, recall: 0.775, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.663,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set humandevel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8768, kappa: 0.7538, kb_relative_information_score: 87.8408, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.5, number_of_instances: 130, precision: 0.8784, predictive_accuracy: 0.8769, prior_entropy: 1, recall: 0.8769, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5811,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set visualizing_galaxy
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9567, kappa: 0.9127, kb_relative_information_score: 294.6991, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4965, number_of_instances: 323, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.995, recall: 0.9567, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4178,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set hutsof99_child_witness
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 11.0261, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9069,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set rabe_97
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.913, kappa: 0.8248, kb_relative_information_score: 37.8991, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4964, number_of_instances: 46, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.995, recall: 0.913, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.592,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set rabe_176
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.6136, kappa: 0.2286, kb_relative_information_score: 16, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.5, number_of_instances: 70, precision: 0.6151, predictive_accuracy: 0.6143, prior_entropy: 1, recall: 0.6143, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2421,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set lowbwt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 118.7688, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8616,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set echoMonths
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.7587, kappa: 0.5215, kb_relative_information_score: 67.9788, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4999, number_of_instances: 130, precision: 0.7717, predictive_accuracy: 0.7615, prior_entropy: 0.9998, recall: 0.7615, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9768,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set kidney
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.6975, kappa: 0.3956, kb_relative_information_score: 29.8174, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6999, predictive_accuracy: 0.6974, prior_entropy: 0.9981, recall: 0.6974, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.1018,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set kidney
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.656, kappa: 0.3101, kb_relative_information_score: 17.4528, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4987, number_of_instances: 76, precision: 0.6577, predictive_accuracy: 0.6579, prior_entropy: 0.9981, recall: 0.6579, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9136,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set prnn_fglass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.6884, kappa: 0.58, kb_relative_information_score: 107.7628, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.2465, number_of_instances: 214, precision: 0.7047, predictive_accuracy: 0.7009, prior_entropy: 2.1997, recall: 0.7009, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.7635,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.861, kappa: 0.6798, kb_relative_information_score: 137.7671, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8616, predictive_accuracy: 0.8634, prior_entropy: 0.9134, recall: 0.8634, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7879,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8376, kappa: 0.6719, kb_relative_information_score: 99.3658, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4956, number_of_instances: 148, precision: 0.8377, predictive_accuracy: 0.8378, prior_entropy: 0.9937, recall: 0.8378, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4978, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.809,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set arrhythmia
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.7548, kappa: 0.5054, kb_relative_information_score: 229.7395, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4965, number_of_instances: 452, precision: 0.7574, predictive_accuracy: 0.7566, prior_entropy: 0.9949, recall: 0.7566, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9901,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... arn.svm.classes.LinearSVC))(1) on task Supervised Classification on data set sylva_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.994, kappa: 0.9486, kb_relative_information_score: 13312.847, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.3235,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set sylva_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9948, kappa: 0.9556, kb_relative_information_score: 12995.9683, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.3338, recall: 0.9948, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.2757,
Benjamin Strang 6 years ago
ran flow sklearn.model_selection._searc ... r=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set gina_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9268, kappa: 0.8535, kb_relative_information_score: 2749.8538, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9268, predictive_accuracy: 0.9268, prior_entropy: 0.9998, recall: 0.9268, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4706,