OpenML

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: 0.9685, kappa: 0.965, kb_relative_information_score: 1810.8731, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9688, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1772, 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 cmc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.5451, kappa: 0.2943, kb_relative_information_score: 294.8757, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5448, predictive_accuracy: 0.5526, prior_entropy: 1.5392, recall: 0.5526, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.9175,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 415.2657, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6303,

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: 0.9861, kappa: 0.9841, kb_relative_information_score: 965.7248, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9863, predictive_accuracy: 0.9861, prior_entropy: 2.9931, recall: 0.9861, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2976,

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: 0.9992, f_measure: 0.9922, kappa: 0.9843, kb_relative_information_score: 2932.9877, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.9986, recall: 0.9922, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.2061,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8696, kappa: 0.7361, kb_relative_information_score: 418.9769, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6327,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.7112, kappa: 0.6806, kb_relative_information_score: 1497.5622, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7132, predictive_accuracy: 0.7125, prior_entropy: 3.3219, recall: 0.7125, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6257,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.2042, kappa: 0.0454, kb_relative_information_score: 52.9653, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2081, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0078,

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: 0.9996, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 3156.3578, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1109,

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: 0.971, kappa: 0.9678, kb_relative_information_score: 1823.0199, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2954,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5392.7039, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0956,

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: 0.9966, f_measure: 0.955, kappa: 0.95, kb_relative_information_score: 1394.4366, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9554, predictive_accuracy: 0.955, prior_entropy: 3.3219, recall: 0.955, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5694,

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: 0.968, kappa: 0.948, kb_relative_information_score: 2328.7329, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 1.4804, recall: 0.968, relative_absolute_error: 0.3643, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4457,

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: 0.9822, kappa: 0.9804, kb_relative_information_score: 5240.2243, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9823, predictive_accuracy: 0.9822, prior_entropy: 3.4594, recall: 0.9822, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2201,

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: 0.7925, f_measure: 0.734, kappa: 0.3404, kb_relative_information_score: 192.0798, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7429, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8798,

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: 0.992, f_measure: 0.9564, kappa: 0.929, kb_relative_information_score: 2426.6413, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9566, predictive_accuracy: 0.9564, prior_entropy: 1.48, recall: 0.9564, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4338,

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: 0.992, kappa: 0.9911, kb_relative_information_score: 10690.7832, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3208, recall: 0.992, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.157,

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: 0.9162, f_measure: 0.6678, kappa: 0.5741, kb_relative_information_score: 418.8512, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.673, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.7337,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7602, kappa: 0.4674, kb_relative_information_score: 255.4145, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.759, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8682, kappa: 0.7333, kb_relative_information_score: 428.7642, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8683, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.6314,

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: 0.9646, kappa: 0.9631, kb_relative_information_score: 18141.4594, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9649, predictive_accuracy: 0.9646, prior_entropy: 4.6998, recall: 0.9646, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.351,

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: 0.9071, f_measure: 0.6555, kappa: 0.5645, kb_relative_information_score: 372.5828, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.667, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.7572,

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: 0.9925, f_measure: 0.9172, kappa: 0.9003, kb_relative_information_score: 5602.7894, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9176, predictive_accuracy: 0.9194, prior_entropy: 2.4836, recall: 0.9194, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3925,

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: 5259.1753, mean_absolute_error: 0.0148, 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: 0.0896, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.214,

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: 0.9571, kappa: 0.9302, kb_relative_information_score: 2460.7319, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 1.48, recall: 0.957, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4174,

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: 0.9223, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 401.9204, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8639, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4449, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6588,

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: 0.995, f_measure: 0.968, kappa: 0.948, kb_relative_information_score: 2471.8145, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 1.4804, recall: 0.968, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4049,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.8353, kappa: 0.2955, kb_relative_information_score: 162.7682, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8404, predictive_accuracy: 0.8625, prior_entropy: 0.622, recall: 0.8625, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8838,

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: 0.9904, kappa: 0.916, kb_relative_information_score: 3168.6654, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3395,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8384, kappa: 0.3198, kb_relative_information_score: 204.7156, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8369, predictive_accuracy: 0.8596, prior_entropy: 0.622, recall: 0.8596, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.8803,

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: 0.9167, f_measure: 0.9516, kappa: 0.793, kb_relative_information_score: 3185.3877, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9524, predictive_accuracy: 0.9536, prior_entropy: 0.5883, recall: 0.9536, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5647,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 423.4531, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266,

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: 0.6155, f_measure: 0.5764, kappa: 0.1309, kb_relative_information_score: 31.413, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5845, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9892,

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: 0.7592, f_measure: 0.7823, kappa: 0.2307, kb_relative_information_score: 777.6844, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8195, prior_entropy: 0.7088, recall: 0.8195, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9204,

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: 0.9275, f_measure: 0.8331, kappa: 0.6559, kb_relative_information_score: 255.0247, mean_absolute_error: 0.2753, 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: 0.5642, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6917,

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: 0.9685, kappa: 0.965, kb_relative_information_score: 1801.6424, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9687, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.3103,

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: 0.9998, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 710.2673, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3815,

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: 0.978, kappa: 0.9758, kb_relative_information_score: 5228.2768, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9781, predictive_accuracy: 0.978, prior_entropy: 3.4594, recall: 0.978, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.066, root_relative_squared_error: 0.2297,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.5533, kappa: 0.3056, kb_relative_information_score: 351.9515, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5551, predictive_accuracy: 0.5553, prior_entropy: 1.5392, recall: 0.5553, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9138,

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: 0.9989, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3161.1883, mean_absolute_error: 0.0058, 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: 0.0115, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1152,

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: 0.9957, f_measure: 0.9379, kappa: 0.9278, kb_relative_information_score: 2120.0446, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3282,

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: 0.7602, f_measure: 0.7836, kappa: 0.2353, kb_relative_information_score: 778.6631, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.791, predictive_accuracy: 0.8204, prior_entropy: 0.7088, recall: 0.8204, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9196,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.5477, kappa: 0.2965, kb_relative_information_score: 371.2997, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5491, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.9229,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9707, kappa: 0.9678, kb_relative_information_score: 863.7641, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.971, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.3612,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7556, kappa: 0.4533, kb_relative_information_score: 242.3662, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8438,

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: 0.995, f_measure: 0.9653, kappa: 0.9435, kb_relative_information_score: 2468.0717, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 1.4804, recall: 0.9652, relative_absolute_error: 0.3085, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4053,

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: 0.9283, f_measure: 0.7425, kappa: 0.6627, kb_relative_information_score: 561.9215, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7388, predictive_accuracy: 0.747, prior_entropy: 1.9991, recall: 0.747, relative_absolute_error: 0.4139, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.6334,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5388.7587, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.095,

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: 0.938, kappa: 0.9278, kb_relative_information_score: 2119.7952, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9381, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3276,

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: 0.8819, f_measure: 0.8096, kappa: 0.6162, kb_relative_information_score: 1652.9494, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7478,

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: 0.9996, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 757.2338, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9788, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2628,

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: 0.5954, f_measure: 0.5851, kappa: 0.144, kb_relative_information_score: 29.0146, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.587, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0084,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.1995, kappa: 0.0412, kb_relative_information_score: 62.1235, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1993, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9995,

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: 0.9253, f_measure: 0.8697, kappa: 0.7366, kb_relative_information_score: 405.0322, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8701, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3238, root_relative_squared_error: 0.6517,

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: 0.9294, f_measure: 0.8572, kappa: 0.6777, kb_relative_information_score: 594.3402, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8571, predictive_accuracy: 0.8588, prior_entropy: 0.9226, recall: 0.8588, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6516,

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: 0.9984, f_measure: 0.9915, kappa: 0.9259, kb_relative_information_score: 3041.1535, 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: 0.1269, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3496,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7615, kappa: 0.4685, kb_relative_information_score: 250.1271, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7607, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8371,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.9382, kappa: 0.5667, kb_relative_information_score: 90.8512, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9389, predictive_accuracy: 0.9444, prior_entropy: 0.4254, recall: 0.9444, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7621,

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: 0.9132, f_measure: 0.9515, kappa: 0.7933, kb_relative_information_score: 3179.1101, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9521, predictive_accuracy: 0.9534, prior_entropy: 0.5883, recall: 0.9534, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5702,

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: 0.5856, kappa: 0.1508, kb_relative_information_score: 33.1781, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5963, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9805,

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: 0.8739, f_measure: 0.6215, kappa: 0.4996, kb_relative_information_score: 2650.0262, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6167, predictive_accuracy: 0.635, prior_entropy: 2.3005, recall: 0.635, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.8138,

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: 0.9459, f_measure: 0.9021, kappa: 0.5007, kb_relative_information_score: 382.6779, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9038, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.7492,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5248.8606, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1444,

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: 0.9323, f_measure: 0.8617, kappa: 0.6874, kb_relative_information_score: 594.8457, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8619, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6481,

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: 0.8744, f_measure: 0.6227, kappa: 0.5008, kb_relative_information_score: 2665.5964, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6181, predictive_accuracy: 0.6357, prior_entropy: 2.3005, recall: 0.6357, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.288, root_relative_squared_error: 0.8134,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9337, kappa: 0.5237, kb_relative_information_score: 97.1793, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9374, predictive_accuracy: 0.9426, prior_entropy: 0.4254, recall: 0.9426, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7552,

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: 0.9784, kappa: 0.9762, kb_relative_information_score: 5246.0606, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 3.4594, recall: 0.9784, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0635, 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 satimage

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9179, kappa: 0.9012, kb_relative_information_score: 5591.0988, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.918, predictive_accuracy: 0.9202, prior_entropy: 2.4836, recall: 0.9202, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3938,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.861, kappa: 0.7187, kb_relative_information_score: 427.8523, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8611, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6254,

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: 0.9977, f_measure: 0.9504, kappa: 0.9449, kb_relative_information_score: 1249.5443, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9511, predictive_accuracy: 0.9504, prior_entropy: 3.3218, recall: 0.9504, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4736,

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: 0.758, f_measure: 0.7809, kappa: 0.225, kb_relative_information_score: 716.9472, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7889, predictive_accuracy: 0.8193, prior_entropy: 0.7088, recall: 0.8193, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9217,

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: 0.9308, f_measure: 0.7363, kappa: 0.6597, kb_relative_information_score: 546.5374, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7323, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6336,

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: 0.9916, f_measure: 0.9521, kappa: 0.9221, kb_relative_information_score: 2702.2539, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9524, predictive_accuracy: 0.952, prior_entropy: 1.48, recall: 0.952, relative_absolute_error: 0.1968, 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 kc1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.8355, kappa: 0.3031, kb_relative_information_score: 145.921, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8353, predictive_accuracy: 0.8592, prior_entropy: 0.622, recall: 0.8592, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.8943,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.5559, kappa: 0.3098, kb_relative_information_score: 352.9077, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5574, predictive_accuracy: 0.558, prior_entropy: 1.5392, recall: 0.558, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.914,

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: 0.9997, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 3081.2168, mean_absolute_error: 0.0215, 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: 0.0431, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.1516,

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: 0.9215, kappa: 0.9055, kb_relative_information_score: 5610.1155, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9216, predictive_accuracy: 0.9236, prior_entropy: 2.4836, recall: 0.9236, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3885,

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: 0.9332, f_measure: 0.8668, kappa: 0.7308, kb_relative_information_score: 385.6666, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8672, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6378,

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: 0.9977, f_measure: 0.9455, kappa: 0.9393, kb_relative_information_score: 1286.8321, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9462, predictive_accuracy: 0.9454, prior_entropy: 3.3218, recall: 0.9454, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4455,

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: 0.9998, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 740.2411, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3501,

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: 0.9972, f_measure: 0.9841, kappa: 0.8576, kb_relative_information_score: 2358.8463, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.4418,

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: 0.9926, f_measure: 0.9194, kappa: 0.9028, kb_relative_information_score: 5592.128, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9196, predictive_accuracy: 0.9215, prior_entropy: 2.4836, recall: 0.9215, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3933,

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: 0.6232, f_measure: 0.5896, kappa: 0.1664, kb_relative_information_score: 29.509, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6122, predictive_accuracy: 0.62, prior_entropy: 0.9816, recall: 0.62, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4816, root_relative_squared_error: 0.9757,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.1995, kappa: 0.0412, kb_relative_information_score: 62.1235, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1993, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9995,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.9134, kappa: 0.3484, kb_relative_information_score: 51.6942, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9261, predictive_accuracy: 0.9315, prior_entropy: 0.4254, recall: 0.9315, relative_absolute_error: 0.7081, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.8009,

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: 0.8752, f_measure: 0.7867, kappa: 0.5746, kb_relative_information_score: 615.0667, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7903, predictive_accuracy: 0.7873, prior_entropy: 1, recall: 0.7873, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8397,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5393.3094, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0963,

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: 0.9983, f_measure: 0.966, kappa: 0.9622, kb_relative_information_score: 1771.8996, mean_absolute_error: 0.0384, 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: 0.2135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1006, root_relative_squared_error: 0.3353,

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: 0.9903, f_measure: 0.9508, kappa: 0.92, kb_relative_information_score: 2577.8212, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9511, predictive_accuracy: 0.9507, prior_entropy: 1.48, recall: 0.9507, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4029,

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: 0.9994, f_measure: 0.9565, kappa: 0.9548, kb_relative_information_score: 18428.8253, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9568, predictive_accuracy: 0.9565, prior_entropy: 4.6998, recall: 0.9565, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0636, root_relative_squared_error: 0.3307,

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: 10756.3661, 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: 0.0444, root_relative_squared_error: 0.1481,

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: 0.9358, kappa: 0.9253, kb_relative_information_score: 2123.5432, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9362, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.118, 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 qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8582, kappa: 0.6801, kb_relative_information_score: 591.9525, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8581, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6585,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7689, kappa: 0.4844, kb_relative_information_score: 236.0149, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8317,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, f_measure: 0.5207, kappa: 0.2561, kb_relative_information_score: 264.3815, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5209, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9273,

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: 0.9928, f_measure: 0.9178, kappa: 0.901, kb_relative_information_score: 5585.5264, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9181, predictive_accuracy: 0.9201, prior_entropy: 2.4836, recall: 0.9201, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.3923,

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: 0.9926, f_measure: 0.9512, kappa: 0.9206, kb_relative_information_score: 2710.4905, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9516, predictive_accuracy: 0.951, prior_entropy: 1.48, recall: 0.951, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3656,

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: 0.9293, f_measure: 0.7388, kappa: 0.6581, kb_relative_information_score: 571.6727, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7355, predictive_accuracy: 0.7435, prior_entropy: 1.9991, recall: 0.7435, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.6314,

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: 0.9943, f_measure: 0.9625, kappa: 0.9389, kb_relative_information_score: 2462.8389, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9626, predictive_accuracy: 0.9624, prior_entropy: 1.4804, recall: 0.9624, relative_absolute_error: 0.3088, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4088,

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: 0.8743, f_measure: 0.6216, kappa: 0.4994, kb_relative_information_score: 2662.8496, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.617, predictive_accuracy: 0.6353, prior_entropy: 2.3005, recall: 0.6353, relative_absolute_error: 0.6607, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8138,

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