OpenML

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: 0.9982, f_measure: 0.9883, kappa: 0.896, kb_relative_information_score: 2713.6653, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9884, predictive_accuracy: 0.9886, prior_entropy: 0.3333, recall: 0.9886, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.3848,

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: 0.9313, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 394.3048, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6379,

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: 0.8269, f_measure: 0.7635, kappa: 0.4738, kb_relative_information_score: 259.7198, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7625, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8379,

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: 0.9312, f_measure: 0.8646, kappa: 0.7292, kb_relative_information_score: 1286.4704, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8646, predictive_accuracy: 0.8646, prior_entropy: 1, recall: 0.8646, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6699,

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: 0.9665, kappa: 0.9628, kb_relative_information_score: 1837.8759, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.967, predictive_accuracy: 0.9665, prior_entropy: 3.3219, recall: 0.9665, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.2879,

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: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5390.3372, mean_absolute_error: 0.0056, 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: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0955,

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: 0.9336, f_measure: 0.8631, kappa: 0.7262, kb_relative_information_score: 1302.7892, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8631, predictive_accuracy: 0.8631, prior_entropy: 1, recall: 0.8631, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6647,

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: 0.9788, kappa: 0.9766, kb_relative_information_score: 5268.8495, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 3.4594, recall: 0.9787, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.217,

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: 0.8746, f_measure: 0.6198, kappa: 0.4967, kb_relative_information_score: 2707.7772, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6146, predictive_accuracy: 0.6319, prior_entropy: 2.3005, recall: 0.6319, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.288, root_relative_squared_error: 0.8135,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1649.077, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7502,

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: 0.9685, kappa: 0.965, kb_relative_information_score: 1836.7099, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 3.3219, recall: 0.9685, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.2872,

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: 0.932, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1281.7705, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 1, recall: 0.8688, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6697,

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: 0.7271, f_measure: 0.75, kappa: 0.2682, kb_relative_information_score: 92.5482, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7468, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8375, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9356,

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: 0.6169, f_measure: 0.5857, kappa: 0.148, kb_relative_information_score: 33.3009, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5921, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9821,

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: 0.8263, f_measure: 0.7571, kappa: 0.4582, kb_relative_information_score: 243.3538, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7564, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6918, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.838,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kc2

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.8175, kappa: 0.4039, kb_relative_information_score: 136.0398, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.817, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.8567,

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: 0.9206, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 343.5979, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6795,

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: 0.9949, kappa: 0.9897, kb_relative_information_score: 1329.9601, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1396,

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: 0.9167, f_measure: 0.9251, kappa: 0.4622, kb_relative_information_score: 69.3129, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9265, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.7861,

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: 0.8966, f_measure: 0.7984, kappa: 0.5843, kb_relative_information_score: 220.8655, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8039, predictive_accuracy: 0.8019, prior_entropy: 0.9826, recall: 0.8019, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7445,

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: 0.7345, f_measure: 0.5516, kappa: 0.3036, kb_relative_information_score: 353.164, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5525, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9162,

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: 0.914, f_measure: 0.667, kappa: 0.5739, kb_relative_information_score: 413.8916, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6722, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.292, root_relative_squared_error: 0.7379,

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: 0.7844, f_measure: 0.7418, kappa: 0.3617, kb_relative_information_score: 199.0172, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7922, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8844,

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: 0.8832, f_measure: 0.808, kappa: 0.6129, kb_relative_information_score: 1637.0447, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7468,

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: 0.9286, f_measure: 0.8579, kappa: 0.6787, kb_relative_information_score: 595.1508, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.858, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6523,

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: 0.8178, f_measure: 0.8283, kappa: 0.2677, kb_relative_information_score: 147.9971, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8282, predictive_accuracy: 0.8554, prior_entropy: 0.622, recall: 0.8554, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8973,

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: 0.9126, f_measure: 0.6653, kappa: 0.5715, kb_relative_information_score: 408.8857, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6724, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.741,

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: 0.9956, kappa: 0.9912, kb_relative_information_score: 3155.7881, mean_absolute_error: 0.0068, 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: 0.0137, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,

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: 0.9131, f_measure: 0.692, kappa: 0.6023, kb_relative_information_score: 4548.1069, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7144, predictive_accuracy: 0.703, prior_entropy: 2.1936, recall: 0.703, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.298, root_relative_squared_error: 0.7613,

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: 0.9996, f_measure: 0.9767, kappa: 0.9744, kb_relative_information_score: 850.2967, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9772, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3717,

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: 0.9135, f_measure: 0.6766, kappa: 0.5862, kb_relative_information_score: 417.7968, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6803, predictive_accuracy: 0.678, prior_entropy: 2.2629, recall: 0.678, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.7366,

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: 0.9963, f_measure: 0.9423, kappa: 0.9358, kb_relative_information_score: 1188.8519, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.943, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5212,

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: 0.8318, f_measure: 0.7565, kappa: 0.4563, kb_relative_information_score: 240.9463, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7561, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,

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: 0.8796, f_measure: 0.8082, kappa: 0.6132, kb_relative_information_score: 1632.6126, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7517,

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: 0.9341, kappa: 0.9232, kb_relative_information_score: 2115.5477, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9342, predictive_accuracy: 0.9342, prior_entropy: 2.8074, recall: 0.9342, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3354,

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: 0.827, f_measure: 0.7476, kappa: 0.4354, kb_relative_information_score: 242.7651, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7474, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8374,

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: 0.8266, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 253.382, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8393,

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: 0.8306, f_measure: 0.7574, kappa: 0.4592, kb_relative_information_score: 245.2562, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7565, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8341,

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: 0.9307, f_measure: 0.8715, kappa: 0.7099, kb_relative_information_score: 585.0823, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8716, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6503,

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: 0.9118, f_measure: 0.6721, kappa: 0.5792, kb_relative_information_score: 420.1376, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6778, predictive_accuracy: 0.6726, prior_entropy: 2.2629, recall: 0.6726, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.7385,

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: 0.9301, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 1200.1445, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8651, predictive_accuracy: 0.865, prior_entropy: 1, recall: 0.865, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6867,

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: 0.8271, f_measure: 0.7527, kappa: 0.4479, kb_relative_information_score: 258.8641, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.752, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.398, root_relative_squared_error: 0.835,

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: 0.9953, f_measure: 0.9354, kappa: 0.9247, kb_relative_information_score: 2116.6609, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 2.8074, recall: 0.9355, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.3342,

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: 0.8228, f_measure: 0.7592, kappa: 0.4636, kb_relative_information_score: 242.2218, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7582, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8415,

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: 0.7343, f_measure: 0.5422, kappa: 0.2889, kb_relative_information_score: 287.8453, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.543, predictive_accuracy: 0.5485, prior_entropy: 1.5392, recall: 0.5485, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.427, root_relative_squared_error: 0.92,

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: 0.7606, f_measure: 0.785, kappa: 0.2395, kb_relative_information_score: 837.8707, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7949, predictive_accuracy: 0.8224, prior_entropy: 0.7088, recall: 0.8224, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9179,

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: 0.9952, f_measure: 0.938, kappa: 0.9278, kb_relative_information_score: 2099.578, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.3383,

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: 0.9073, f_measure: 0.6815, kappa: 0.5894, kb_relative_information_score: 4462.9445, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.703, predictive_accuracy: 0.6934, prior_entropy: 2.1936, recall: 0.6934, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.7691,

Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9292, kappa: 0.2949, kb_relative_information_score: -457.8283, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9436, prior_entropy: 0.3411, recall: 0.9436, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.8508,

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: 0.9923, kappa: 0.9914, kb_relative_information_score: 10734.1182, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0487, 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 qsar-biodeg

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.865, kappa: 0.6954, kb_relative_information_score: 598.1881, mean_absolute_error: 0.2015, 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: 0.4505, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3101, 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 ilpd

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.6482, kappa: 0.0963, kb_relative_information_score: 61.2511, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6455, predictive_accuracy: 0.6981, prior_entropy: 0.865, recall: 0.6981, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9317,

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: 0.9217, f_measure: 0.8564, kappa: 0.709, kb_relative_information_score: 395.5868, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6582,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.978, kappa: 0.9756, kb_relative_information_score: 1799.2334, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 3.3219, recall: 0.978, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.3061,

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: 0.9319, f_measure: 0.8626, kappa: 0.6894, kb_relative_information_score: 594.2235, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6487,

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: 0.932, f_measure: 0.8677, kappa: 0.7354, kb_relative_information_score: 1276.8923, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8677, predictive_accuracy: 0.8677, prior_entropy: 1, recall: 0.8677, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6707,

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: 0.98, kappa: 0.978, kb_relative_information_score: 5228.7941, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 3.4594, recall: 0.98, relative_absolute_error: 0.1017, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.224,

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: 0.7943, f_measure: 0.7525, kappa: 0.3871, kb_relative_information_score: 196.5385, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7615, predictive_accuracy: 0.772, prior_entropy: 0.8818, recall: 0.772, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8772,

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: 0.9971, kappa: 0.9956, kb_relative_information_score: 5400.6451, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.0926,

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: 0.9454, kappa: 0.8071, kb_relative_information_score: 290.6332, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2857, 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 wall-robot-navigation

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5396.2768, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.0936,

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: 0.9136, f_measure: 0.9533, kappa: 0.8012, kb_relative_information_score: 3191.9916, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9538, predictive_accuracy: 0.955, prior_entropy: 0.5883, recall: 0.955, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5679,

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: 0.9119, f_measure: 0.6662, kappa: 0.5726, kb_relative_information_score: 409.2723, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6704, predictive_accuracy: 0.6671, prior_entropy: 2.2629, recall: 0.6671, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.7402,

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: 0.8813, f_measure: 0.8063, kappa: 0.6095, kb_relative_information_score: 1677.964, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747,

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: 0.8823, f_measure: 0.8068, kappa: 0.6104, kb_relative_information_score: 1668.2666, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.746,

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: 0.9821, kappa: 0.9802, kb_relative_information_score: 5240.331, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 3.4594, recall: 0.982, relative_absolute_error: 0.0979, 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 letter

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9674, kappa: 0.966, kb_relative_information_score: 18435.5872, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9676, predictive_accuracy: 0.9674, prior_entropy: 4.6998, recall: 0.9674, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.3216,

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: 0.9252, f_measure: 0.859, kappa: 0.6816, kb_relative_information_score: 584.2783, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6584,

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: 0.8217, f_measure: 0.7595, kappa: 0.4632, kb_relative_information_score: 245.2943, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7589, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8453,

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: 0.9959, kappa: 0.9918, kb_relative_information_score: 3152.4242, mean_absolute_error: 0.0075, 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: 0.0151, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1213,

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: 0.7568, f_measure: 0.7827, kappa: 0.2325, kb_relative_information_score: 709.9043, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.789, predictive_accuracy: 0.8193, prior_entropy: 0.7088, recall: 0.8193, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9227,

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: 0.9925, kappa: 0.9916, kb_relative_information_score: 10685.8516, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 3.3208, recall: 0.9924, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1584,

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 jm1

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7825, kappa: 0.229, kb_relative_information_score: 875.1123, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7956, predictive_accuracy: 0.8225, prior_entropy: 0.7088, recall: 0.8225, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9173,

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: 0.7608, f_measure: 0.783, kappa: 0.231, kb_relative_information_score: 870.9491, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7953, predictive_accuracy: 0.8224, prior_entropy: 0.7088, recall: 0.8224, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.917,

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: 911.3713, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.9931, recall: 0.9889, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.3644,

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: 0.7858, f_measure: 0.7452, kappa: 0.3697, kb_relative_information_score: 186.0247, mean_absolute_error: 0.3386, 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: 0.806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8839,

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: 0.8604, kappa: 0.6853, kb_relative_information_score: 591.3929, mean_absolute_error: 0.2053, 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: 0.4591, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6542,

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: 962.6579, mean_absolute_error: 0.047, 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: 0.2152, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2911,

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: 0.9936, f_measure: 0.9565, kappa: 0.9292, kb_relative_information_score: 2412.7716, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9567, predictive_accuracy: 0.9564, prior_entropy: 1.48, recall: 0.9564, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4322,

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: 0.9959, kappa: 0.9918, kb_relative_information_score: 3158.4156, mean_absolute_error: 0.0063, 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: 0.0126, 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: 0.9934, kappa: 0.9867, kb_relative_information_score: 1314.2567, mean_absolute_error: 0.025, 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: 0.0506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.152,

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: 0.7599, f_measure: 0.7836, kappa: 0.2345, kb_relative_information_score: 893.3028, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7932, predictive_accuracy: 0.8215, prior_entropy: 0.7088, recall: 0.8215, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9173,

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: 0.7593, f_measure: 0.7819, kappa: 0.2265, kb_relative_information_score: 861.1426, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7956, predictive_accuracy: 0.8224, prior_entropy: 0.7088, recall: 0.8224, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9185,

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: 0.9076, f_measure: 0.6521, kappa: 0.5582, kb_relative_information_score: 372.074, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6629, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.6186, 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 sick

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9912, kappa: 0.9238, kb_relative_information_score: 3084.9745, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3333, recall: 0.9913, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.3539,

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: 0.7259, f_measure: 0.7462, kappa: 0.2561, kb_relative_information_score: 98.0406, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.935,

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: 0.9231, f_measure: 0.8412, kappa: 0.6729, kb_relative_information_score: 249.1574, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.843, predictive_accuracy: 0.8426, prior_entropy: 0.9826, recall: 0.8426, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.7012,

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: 0.7595, f_measure: 0.7863, kappa: 0.2468, kb_relative_information_score: 726.4469, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7919, predictive_accuracy: 0.8209, prior_entropy: 0.7088, recall: 0.8209, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9203,

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: 0.9194, f_measure: 0.8332, kappa: 0.6563, kb_relative_information_score: 247.274, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8364, predictive_accuracy: 0.8352, prior_entropy: 0.9826, recall: 0.8352, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7055,

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: 0.9391, kappa: 0.7507, kb_relative_information_score: 265.0423, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6877,

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: 0.9202, f_measure: 0.8331, kappa: 0.6559, kb_relative_information_score: 236.6658, mean_absolute_error: 0.2932, 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: 0.6009, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7128,

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: 0.987, kappa: 0.9852, kb_relative_information_score: 952.9957, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9871, predictive_accuracy: 0.987, prior_entropy: 2.9931, recall: 0.987, relative_absolute_error: 0.2264, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.3192,

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: 0.9359, kappa: 0.9253, kb_relative_information_score: 2128.565, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.936, predictive_accuracy: 0.9359, prior_entropy: 2.8074, recall: 0.9359, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3267,

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: 0.9454, kappa: 0.7864, kb_relative_information_score: 276.184, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.291, root_relative_squared_error: 0.6681,

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: 0.9318, f_measure: 0.8685, kappa: 0.7369, kb_relative_information_score: 1245.7952, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8685, predictive_accuracy: 0.8685, prior_entropy: 1, recall: 0.8685, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6765,

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: 0.9934, kappa: 0.9868, kb_relative_information_score: 2991.0235, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9986, recall: 0.9934, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1828,

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: 0.9458, kappa: 0.7953, kb_relative_information_score: 282.1969, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8896, prior_entropy: 1.3212, recall: 0.8896, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6634,

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: 0.995, kappa: 0.99, kb_relative_information_score: 3141.8937, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9986, recall: 0.995, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1224,

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: 0.9948, f_measure: 0.9363, kappa: 0.9258, kb_relative_information_score: 2100.4611, mean_absolute_error: 0.0346, 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: 0.1414, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3405,

Sign in

Filter results by: