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Hilde Weerts
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Hilde's runs

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(2) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7105, kappa: 0.68, kb_relative_information_score: 1479.7534, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7126, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 596.2083, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3662,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 592.3328, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3548,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 592.3328, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3548,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 597.2046, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.167, root_relative_squared_error: 0.3513,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.769, kappa: 0.177, kb_relative_information_score: 3363.7491, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.7669, kappa: 0.1686, kb_relative_information_score: 3371.3101, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8175, prior_entropy: 0.7088, recall: 0.8175, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0816,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.7613, kappa: 0.1486, kb_relative_information_score: 3201.1864, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7766, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0938,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.765, kappa: 0.1616, kb_relative_information_score: 3322.1633, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.5887, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.0851,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.769, kappa: 0.177, kb_relative_information_score: 3363.7491, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.7655, kappa: 0.1635, kb_relative_information_score: 3333.5049, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7853, predictive_accuracy: 0.8165, prior_entropy: 0.7088, recall: 0.8165, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0843,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.7669, kappa: 0.1686, kb_relative_information_score: 3363.7491, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7871, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.769, kappa: 0.177, kb_relative_information_score: 3363.7491, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7808, kappa: 0.5578, kb_relative_information_score: 2093.971, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8088, kappa: 0.6145, kb_relative_information_score: 1612.5379, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7537,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7862, kappa: 0.5687, kb_relative_information_score: 2136.4066, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9264,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.7688, kappa: 0.1762, kb_relative_information_score: 3378.8712, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.427, root_relative_squared_error: 1.081,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5595, f_measure: 0.767, kappa: 0.169, kb_relative_information_score: 3363.7491, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.5854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.0821,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7831, kappa: 0.5624, kb_relative_information_score: 2112.1577, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7836, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9333,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.7597, kappa: 0.142, kb_relative_information_score: 3201.1864, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0938,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.7661, kappa: 0.1656, kb_relative_information_score: 3348.627, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7862, predictive_accuracy: 0.8169, prior_entropy: 0.7088, recall: 0.8169, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0832,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1649.4629, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5947, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7482,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.7613, kappa: 0.1486, kb_relative_information_score: 3201.1864, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7766, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0938,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.7658, kappa: 0.1648, kb_relative_information_score: 3325.9438, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4285, root_relative_squared_error: 1.0848,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8123, kappa: 0.6214, kb_relative_information_score: 1698.8996, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8124, predictive_accuracy: 0.8126, prior_entropy: 0.9948, recall: 0.8126, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.749,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.6816, kappa: 0.5884, kb_relative_information_score: 4627.7776, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6962, predictive_accuracy: 0.6916, prior_entropy: 2.1936, recall: 0.6916, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7617,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.807, kappa: 0.6109, kb_relative_information_score: 1660.0823, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7474,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.6927, kappa: 0.6029, kb_relative_information_score: 4670.2259, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7096, predictive_accuracy: 0.7028, prior_entropy: 2.1936, recall: 0.7028, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.7564,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8059, kappa: 0.6087, kb_relative_information_score: 1695.0602, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7448,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.7777, kappa: 0.5514, kb_relative_information_score: 2071.7429, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9447,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.6501, kappa: 0.3229, kb_relative_information_score: 1305.8817, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7164, predictive_accuracy: 0.6774, prior_entropy: 0.9948, recall: 0.6774, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.568, root_relative_squared_error: 1.14,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.6929, kappa: 0.6025, kb_relative_information_score: 4781.1407, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7064, predictive_accuracy: 0.7019, prior_entropy: 2.1936, recall: 0.7019, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7516,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1672.8279, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.745,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7852, kappa: 0.5666, kb_relative_information_score: 2128.3236, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9287,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8108, kappa: 0.6186, kb_relative_information_score: 1689.6171, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7489,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.6865, kappa: 0.5951, kb_relative_information_score: 4617.5928, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7042, predictive_accuracy: 0.6971, prior_entropy: 2.1936, recall: 0.6971, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7614,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.7617, kappa: 0.1502, kb_relative_information_score: 3189.8448, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7757, predictive_accuracy: 0.813, prior_entropy: 0.7088, recall: 0.813, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4324, root_relative_squared_error: 1.0946,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7808, kappa: 0.5578, kb_relative_information_score: 2093.971, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.806, kappa: 0.6089, kb_relative_information_score: 1690.4931, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7457,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.7677, kappa: 0.172, kb_relative_information_score: 3341.0659, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.785, predictive_accuracy: 0.8167, prior_entropy: 0.7088, recall: 0.8167, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4281, root_relative_squared_error: 1.0838,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6497, kappa: 0.3223, kb_relative_information_score: 1303.861, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.6772, prior_entropy: 0.9948, recall: 0.6772, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5682, root_relative_squared_error: 1.1405,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.7688, kappa: 0.1762, kb_relative_information_score: 3378.8712, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.427, root_relative_squared_error: 1.081,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8673, kappa: 0.7346, kb_relative_information_score: 1285.9036, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8673, predictive_accuracy: 0.8673, prior_entropy: 1, recall: 0.8673, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6679,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7808, kappa: 0.5578, kb_relative_information_score: 2093.971, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9385,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8086, kappa: 0.6142, kb_relative_information_score: 1707.1304, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7473,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7818, kappa: 0.5599, kb_relative_information_score: 2102.054, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9362,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.6937, kappa: 0.6043, kb_relative_information_score: 4579.4006, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7145, predictive_accuracy: 0.7043, prior_entropy: 2.1936, recall: 0.7043, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.7605,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.7688, kappa: 0.1762, kb_relative_information_score: 3378.8712, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.427, root_relative_squared_error: 1.081,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.84, kappa: 0.8233, kb_relative_information_score: 1578.2371, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.84, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.5192,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9705, kappa: 0.9672, kb_relative_information_score: 1818.7098, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9708, predictive_accuracy: 0.9705, prior_entropy: 3.3219, recall: 0.9705, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.2971,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.6865, kappa: 0.5951, kb_relative_information_score: 4617.5928, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7042, predictive_accuracy: 0.6971, prior_entropy: 2.1936, recall: 0.6971, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.7614,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9556, kappa: 0.9278, kb_relative_information_score: 2151.8534, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9558, predictive_accuracy: 0.9557, prior_entropy: 1.48, recall: 0.9557, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5031,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 1809.3033, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 3.3219, recall: 0.97, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3042,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9642, kappa: 0.9419, kb_relative_information_score: 3010.0533, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 1.48, recall: 0.9642, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.3412,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.6939, kappa: 0.6043, kb_relative_information_score: 4670.175, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7111, predictive_accuracy: 0.7038, prior_entropy: 2.1936, recall: 0.7038, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.7549,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.6234, kappa: 0.5018, kb_relative_information_score: 2692.8852, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6183, predictive_accuracy: 0.6362, prior_entropy: 2.3005, recall: 0.6362, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.288, root_relative_squared_error: 0.8133,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9809, kappa: 0.979, kb_relative_information_score: 5248.1549, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 3.4594, recall: 0.9809, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2188,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.6262, kappa: 0.5054, kb_relative_information_score: 2690.9417, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6216, predictive_accuracy: 0.6389, prior_entropy: 2.3005, recall: 0.6389, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.8132,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6174, kappa: 0.4936, kb_relative_information_score: 2759.0317, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6123, predictive_accuracy: 0.6293, prior_entropy: 2.3005, recall: 0.6293, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8176,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9766, kappa: 0.9756, kb_relative_information_score: 19524.2851, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9766, predictive_accuracy: 0.9766, prior_entropy: 4.6998, recall: 0.9766, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.2209,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9806, kappa: 0.9786, kb_relative_information_score: 5179.0079, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9807, predictive_accuracy: 0.9805, prior_entropy: 3.4594, recall: 0.9805, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0693, root_relative_squared_error: 0.2409,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9777, kappa: 0.9754, kb_relative_information_score: 5255.1647, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9778, predictive_accuracy: 0.9776, prior_entropy: 3.4594, recall: 0.9776, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.064, root_relative_squared_error: 0.2225,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.981, kappa: 0.979, kb_relative_information_score: 5240.5629, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 3.4594, recall: 0.9809, relative_absolute_error: 0.0966, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.221,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8457, kappa: 0.8294, kb_relative_information_score: 1603.7576, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.846, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.5082,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9646, kappa: 0.9424, kb_relative_information_score: 3012.0133, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9647, predictive_accuracy: 0.9645, prior_entropy: 1.48, recall: 0.9645, relative_absolute_error: 0.0577, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3397,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9567, kappa: 0.9294, kb_relative_information_score: 2325.542, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 1.48, recall: 0.9567, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4565,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9791, kappa: 0.977, kb_relative_information_score: 5195.1066, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9792, predictive_accuracy: 0.9791, prior_entropy: 3.4594, recall: 0.9791, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.2381,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9873, kb_relative_information_score: 955.3177, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.3124,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7806, kappa: 0.2228, kb_relative_information_score: 842.0613, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.791, predictive_accuracy: 0.8203, prior_entropy: 0.7088, recall: 0.8203, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9166,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8057, kappa: 0.6083, kb_relative_information_score: 1572.7012, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8057, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7539,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9894, kb_relative_information_score: 931.2734, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9909, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3326,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 1808.653, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3051,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9826, kappa: 0.9806, kb_relative_information_score: 5097.3962, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 3.3218, recall: 0.9826, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2887,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.9244, kappa: 0.2424, kb_relative_information_score: -556.5963, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9247, predictive_accuracy: 0.9404, prior_entropy: 0.3411, recall: 0.9404, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.8577,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.9241, kappa: 0.2287, kb_relative_information_score: -615.2526, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9292, predictive_accuracy: 0.942, prior_entropy: 0.3411, recall: 0.942, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.853,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8511, kappa: 0.835, kb_relative_information_score: 1611.0419, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8514, predictive_accuracy: 0.8515, prior_entropy: 3.3219, recall: 0.8515, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.506,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9198, kappa: 0.9032, kb_relative_information_score: 5605.533, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9199, predictive_accuracy: 0.9218, prior_entropy: 2.4836, recall: 0.9218, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3897,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.8427, kappa: 0.8256, kb_relative_information_score: 1613.5331, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.5069,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9285, kappa: 0.9205, kb_relative_information_score: 1234.6224, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.93, predictive_accuracy: 0.9284, prior_entropy: 3.3218, recall: 0.9284, relative_absolute_error: 0.3858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4913,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9127, kappa: 0.901, kb_relative_information_score: 941.7954, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9141, predictive_accuracy: 0.912, prior_entropy: 3.1699, recall: 0.912, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3874,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9241, kappa: 0.2323, kb_relative_information_score: -520.8838, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9266, predictive_accuracy: 0.9412, prior_entropy: 0.3411, recall: 0.9412, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.207, root_relative_squared_error: 0.8513,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.949, kb_relative_information_score: 2353.5299, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 1.4804, recall: 0.9687, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4386,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9549, kappa: 0.9054, kb_relative_information_score: 3761.9487, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.955, predictive_accuracy: 0.955, prior_entropy: 0.9674, recall: 0.955, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3918,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9891, kappa: 0.9879, kb_relative_information_score: 5556.1793, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 3.3218, recall: 0.9891, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1553,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9292, kappa: 0.8929, kb_relative_information_score: 4907.4807, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9293, predictive_accuracy: 0.9293, prior_entropy: 1.7151, recall: 0.9293, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4622,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7494, kappa: 0.379, kb_relative_information_score: 192.8385, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7593, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8809,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9528, kappa: 0.7989, kb_relative_information_score: 3107.0151, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9533, predictive_accuracy: 0.9546, prior_entropy: 0.5883, recall: 0.9546, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5715,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8385, kappa: 0.8206, kb_relative_information_score: 1662.2203, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.839, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.6978, kappa: 0.6091, kb_relative_information_score: 4717.2683, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7147, predictive_accuracy: 0.7073, prior_entropy: 2.1936, recall: 0.7073, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.7516,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8397, kappa: 0.8222, kb_relative_information_score: 1665.3576, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7453, kappa: 0.7206, kb_relative_information_score: 1473.984, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7488, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9913, kb_relative_information_score: 741.912, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.2631,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9982, kappa: 0.998, kb_relative_information_score: 5489.6025, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 3.4594, recall: 0.9982, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0182, root_relative_squared_error: 0.0632,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9941, kappa: 0.9881, kb_relative_information_score: 3157.886, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9986, recall: 0.9941, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1544,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8361, kappa: 0.8211, kb_relative_information_score: 1663.2661, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8335, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.564, kappa: 0.4432, kb_relative_information_score: 4692.7782, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5882, predictive_accuracy: 0.5878, prior_entropy: 2.1936, recall: 0.5878, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0373,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... f=sklearn.svm.classes.SVC))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.9338, kappa: 0.3536, kb_relative_information_score: 864.826, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9342, predictive_accuracy: 0.9451, prior_entropy: 0.3411, recall: 0.9451, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.963,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9817, kappa: 0.9796, kb_relative_information_score: 5230.2038, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 3.3218, recall: 0.9817, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.2528,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.6934, kappa: 0.6033, kb_relative_information_score: 4775.3749, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7069, predictive_accuracy: 0.7025, prior_entropy: 2.1936, recall: 0.7025, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.7522,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.9291, kappa: 0.2907, kb_relative_information_score: -607.2616, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9326, predictive_accuracy: 0.944, prior_entropy: 0.3411, recall: 0.944, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.8531,