OpenML

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8391, kappa: 0.6685, kb_relative_information_score: 243.9199, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8416, predictive_accuracy: 0.8407, prior_entropy: 0.9826, recall: 0.8407, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7121,

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: 0.9917, kappa: 0.9905, kb_relative_information_score: 931.8028, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9919, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.111, root_relative_squared_error: 0.3359,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1313.447, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1569,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9372, kappa: 0.9268, kb_relative_information_score: 2110.7631, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9372, predictive_accuracy: 0.9372, prior_entropy: 2.8074, recall: 0.9372, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3362,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.9904, kb_relative_information_score: 10675.0818, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1641,

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: 0.9939, f_measure: 0.9574, kappa: 0.9306, kb_relative_information_score: 2379.0963, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9576, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4396,

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: 0.9898, kappa: 0.9883, kb_relative_information_score: 916.4056, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2902, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3606,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8331, kappa: 0.6559, kb_relative_information_score: 242.7861, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8368, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5872, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7083,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.7726, kappa: 0.7506, kb_relative_information_score: 1428.9089, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7703, predictive_accuracy: 0.7755, prior_entropy: 3.3219, recall: 0.7755, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6247,

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: 0.9808, kappa: 0.9788, kb_relative_information_score: 5257.88, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9809, predictive_accuracy: 0.9807, prior_entropy: 3.4594, recall: 0.9807, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.2159,

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: 5249.0982, mean_absolute_error: 0.0154, 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: 0.0931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0629, root_relative_squared_error: 0.2189,

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: 0.7902, f_measure: 0.7452, kappa: 0.3697, kb_relative_information_score: 199.0503, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8795,

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: 0.9935, kappa: 0.9926, kb_relative_information_score: 957.6056, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.297,

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: 955.1791, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.3017,

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: 0.982, kappa: 0.9802, kb_relative_information_score: 5243.7654, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 3.4594, recall: 0.982, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.2185,

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: 0.7891, f_measure: 0.7473, kappa: 0.3743, kb_relative_information_score: 193.1184, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7551, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8823,

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: 0.9917, kappa: 0.9905, kb_relative_information_score: 941.3989, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.3279,

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: 0.9931, f_measure: 0.9715, kappa: 0.937, kb_relative_information_score: 597.557, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9717, predictive_accuracy: 0.9714, prior_entropy: 0.9297, recall: 0.9714, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3462,

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: 0.9937, f_measure: 0.9574, kappa: 0.9307, kb_relative_information_score: 2447.1851, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 1.48, recall: 0.9573, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.191, root_relative_squared_error: 0.422,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8318, kappa: 0.6535, kb_relative_information_score: 241.5373, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8337, predictive_accuracy: 0.8333, prior_entropy: 0.9826, recall: 0.8333, relative_absolute_error: 0.5885, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7129,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.5776, kappa: 0.1373, kb_relative_information_score: 33.6309, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5912, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9747,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1316.6303, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.1526,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, kappa: 0.7745, kb_relative_information_score: 313.9733, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.277, root_relative_squared_error: 0.6358,

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: 0.9984, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 1778.3872, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9665, predictive_accuracy: 0.966, prior_entropy: 3.3219, recall: 0.966, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.099, root_relative_squared_error: 0.33,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7782, kappa: 0.7567, kb_relative_information_score: 1429.9417, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7763, predictive_accuracy: 0.781, prior_entropy: 3.3219, recall: 0.781, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6488,

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: 0.9932, f_measure: 0.9546, kappa: 0.9261, kb_relative_information_score: 2310.7816, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 1.48, recall: 0.9545, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4602,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 2943.5988, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, recall: 0.9928, relative_absolute_error: 0.0964, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2051,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1322.287, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.1484,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9389, kappa: 0.9288, kb_relative_information_score: 2124.332, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.939, predictive_accuracy: 0.939, prior_entropy: 2.8074, recall: 0.939, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.326,

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: 0.9824, kappa: 0.9806, kb_relative_information_score: 5194.1209, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.4594, recall: 0.9824, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2349,

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: 0.9808, kappa: 0.9788, kb_relative_information_score: 5261.3248, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.4594, recall: 0.9807, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.2148,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9909, kappa: 0.9203, kb_relative_information_score: 3028.0025, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.3486,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8653, kappa: 0.6952, kb_relative_information_score: 576.9691, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8659, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6566,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8732, kappa: 0.1904, kb_relative_information_score: -179.8068, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8757, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9032,

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: 0.9917, kappa: 0.9905, kb_relative_information_score: 941.3989, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.3279,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-karhunen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 1658.141, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.4118,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9707, kappa: 0.9695, kb_relative_information_score: 18666.167, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 4.6998, recall: 0.9707, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.2981,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8601, kappa: 0.6844, kb_relative_information_score: 598.8996, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6531,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set vehicle

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.7363, kappa: 0.6564, kb_relative_information_score: 558.4539, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7322, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6315,

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: 0.9065, f_measure: 0.684, kappa: 0.5915, kb_relative_information_score: 4670.3586, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6969, predictive_accuracy: 0.6937, prior_entropy: 2.1936, recall: 0.6937, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.7609,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5813, kappa: 0.1353, kb_relative_information_score: 31.3323, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5816, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0017,

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: 0.9552, kappa: 0.9271, kb_relative_information_score: 2294.9995, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9555, predictive_accuracy: 0.9551, prior_entropy: 1.48, recall: 0.9551, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4648,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.7773, kappa: 0.7556, kb_relative_information_score: 1423.5239, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7752, predictive_accuracy: 0.78, prior_entropy: 3.3219, recall: 0.78, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6514,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.968, kappa: 0.9667, kb_relative_information_score: 18487.507, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 4.6998, recall: 0.968, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0609, root_relative_squared_error: 0.3167,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8666, kappa: 0.1484, kb_relative_information_score: -238.5392, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8625, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9103,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.865, kappa: 0.6954, kb_relative_information_score: 593.4596, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6506,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cylinder-bands

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8337, kappa: 0.6575, kb_relative_information_score: 248.6081, mean_absolute_error: 0.2808, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8354, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7035,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.5897, kappa: 0.1609, kb_relative_information_score: 32.9542, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6036, predictive_accuracy: 0.614, prior_entropy: 0.9816, recall: 0.614, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9737,

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: 941.5904, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9891, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2487, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.3248,

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: 0.9808, kappa: 0.9788, kb_relative_information_score: 5261.3248, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9808, predictive_accuracy: 0.9807, prior_entropy: 3.4594, recall: 0.9807, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.2148,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3142.3751, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1235,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1284.4483, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.1683,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7481, kappa: 0.2622, kb_relative_information_score: 95.0598, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7447, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9376,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set eucalyptus

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.657, kappa: 0.565, kb_relative_information_score: 372.661, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6671, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.756,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8603, kappa: 0.6849, kb_relative_information_score: 589.6663, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8601, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6559,

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: 0.9646, kappa: 0.9606, kb_relative_information_score: 1820.1076, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9651, predictive_accuracy: 0.9645, prior_entropy: 3.3219, recall: 0.9645, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.3005,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9947, kappa: 0.9893, kb_relative_information_score: 3143.2229, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 0.9986, recall: 0.9947, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.1286,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1320.2923, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0719, root_relative_squared_error: 0.1447,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3140.7384, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1242,

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: 0.9926, f_measure: 0.9087, kappa: 0.8969, kb_relative_information_score: 952.321, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9102, predictive_accuracy: 0.9083, prior_entropy: 3.1699, recall: 0.9083, relative_absolute_error: 0.1763, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.3878,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7424, kappa: 0.2432, kb_relative_information_score: 90.0003, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7395, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.9326,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.5709, kappa: 0.134, kb_relative_information_score: 30.2929, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9729,

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: 0.9082, f_measure: 0.6863, kappa: 0.5948, kb_relative_information_score: 4485.4093, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7062, predictive_accuracy: 0.6973, prior_entropy: 2.1936, recall: 0.6973, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.7676,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9906, kappa: 0.9896, kb_relative_information_score: 10656.3742, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 3.3208, recall: 0.9906, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1681,

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: 0.9917, kappa: 0.9905, kb_relative_information_score: 932.8985, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3386,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9658, kappa: 0.9644, kb_relative_information_score: 18612.824, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9659, predictive_accuracy: 0.9658, prior_entropy: 4.6998, recall: 0.9658, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.3062,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.9905, kb_relative_information_score: 10756.8414, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 3.3208, recall: 0.9914, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1477,

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: 0.7976, f_measure: 0.7397, kappa: 0.3537, kb_relative_information_score: 187.6301, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7548, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8785,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set banknote-authentication

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 1321.8961, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9912, recall: 0.9956, relative_absolute_error: 0.0437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.1472,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9362, kappa: 0.9258, kb_relative_information_score: 2111.169, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9363, predictive_accuracy: 0.9364, prior_entropy: 2.8074, recall: 0.9364, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3338,

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: 0.8767, f_measure: 0.7852, kappa: 0.5715, kb_relative_information_score: 617.0584, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7888, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8386,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9919, kappa: 0.991, kb_relative_information_score: 10703.4366, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 3.3208, recall: 0.9919, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1559,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9314, kappa: 0.9202, kb_relative_information_score: 2125.7276, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9317, predictive_accuracy: 0.9316, prior_entropy: 2.8074, recall: 0.9316, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.3387,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9926, kappa: 0.9918, kb_relative_information_score: 10666.4439, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 3.3208, recall: 0.9926, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1616,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-karhunen

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9585, kappa: 0.9539, kb_relative_information_score: 1596.4482, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 3.3219, recall: 0.9585, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.4503,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8233, kappa: 0.7362, kb_relative_information_score: 329.8422, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7916, predictive_accuracy: 0.8576, prior_entropy: 1.3212, recall: 0.8576, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.6341,

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: 0.9932, f_measure: 0.9546, kappa: 0.9261, kb_relative_information_score: 2310.7816, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9549, predictive_accuracy: 0.9545, prior_entropy: 1.48, recall: 0.9545, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4602,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set balance-scale

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, kappa: 0.7834, kb_relative_information_score: 288.9585, mean_absolute_error: 0.2034, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.6558,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9735, kappa: 0.9463, kb_relative_information_score: 10250.8927, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9906, recall: 0.9735, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2753,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.7716, kappa: 0.7494, kb_relative_information_score: 1423.1377, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7692, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6265,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc4

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8939, kappa: 0.4639, kb_relative_information_score: 365.2778, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8923, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.7591,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set segment

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9362, kappa: 0.9258, kb_relative_information_score: 2125.578, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9364, predictive_accuracy: 0.9364, prior_entropy: 2.8074, recall: 0.9364, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.337,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7493, kappa: 0.2642, kb_relative_information_score: 86.2169, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9324,

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: 0.9102, f_measure: 0.6901, kappa: 0.5987, kb_relative_information_score: 4769.0487, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7022, predictive_accuracy: 0.6988, prior_entropy: 2.1936, recall: 0.6988, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.295, root_relative_squared_error: 0.7537,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 96.6603, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9313,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9915, kappa: 0.9259, kb_relative_information_score: 3049.6259, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.3561,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6265, f_measure: 0.5852, kappa: 0.1536, kb_relative_information_score: 31.9647, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6013, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9774,

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: 0.9824, kappa: 0.9806, kb_relative_information_score: 5194.1209, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.4594, recall: 0.9824, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2349,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set dresses-sales

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.5831, kappa: 0.1552, kb_relative_information_score: 28.247, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6075, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9772,

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: 0.9924, f_measure: 0.9518, kappa: 0.9216, kb_relative_information_score: 2686.928, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9522, predictive_accuracy: 0.9517, prior_entropy: 1.48, recall: 0.9517, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3711,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set tic-tac-toe

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 722.5902, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3904,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.8645, kappa: 0.1322, kb_relative_information_score: -252.2863, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8598, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9114,

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: 0.9907, kappa: 0.9894, kb_relative_information_score: 939.7567, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.3331,

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: 0.9824, kappa: 0.9806, kb_relative_information_score: 5194.1209, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 3.4594, recall: 0.9824, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.2349,

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: 0.9935, kappa: 0.9926, kb_relative_information_score: 930.0339, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2697, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3372,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9906, kappa: 0.9896, kb_relative_information_score: 10724.448, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 3.3208, recall: 0.9906, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.047, root_relative_squared_error: 0.1566,

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: 0.9898, kappa: 0.9883, kb_relative_information_score: 945.906, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 2.9931, recall: 0.9898, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.321,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9654, kappa: 0.964, kb_relative_information_score: 18656.3969, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9654, prior_entropy: 4.6998, recall: 0.9654, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.3033,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set credit-approval

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8597, kappa: 0.7166, kb_relative_information_score: 386.9847, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8605, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6387,

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: 0.9695, kappa: 0.9661, kb_relative_information_score: 1818.9463, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9698, predictive_accuracy: 0.9695, prior_entropy: 3.3219, recall: 0.9695, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2974,

Sign in

Filter results by: