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Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9085, kappa: 0.7785, kb_relative_information_score: 3489.3726, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9083, predictive_accuracy: 0.909, prior_entropy: 0.8733, recall: 0.909, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5716,
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: 0.9758, kappa: 0.9733, kb_relative_information_score: 832.736, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9763, predictive_accuracy: 0.9758, prior_entropy: 3.4594, recall: 0.9758, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3994,
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: 0.9993, f_measure: 0.9686, kappa: 0.9656, kb_relative_information_score: 842.2281, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 3.4594, recall: 0.9687, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3944,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: -218.183, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3667, recall: 0.9342, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.8847,
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: 0.9927, f_measure: 0.9531, kappa: 0.9236, kb_relative_information_score: 2719.0546, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9534, predictive_accuracy: 0.9529, prior_entropy: 1.48, recall: 0.9529, relative_absolute_error: 0.1903, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3626,
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: 0.9496, kappa: 0.7685, kb_relative_information_score: 304.7426, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8752, prior_entropy: 1.3212, recall: 0.8752, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6456,
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: 0.7209, f_measure: 0.7424, kappa: 0.2432, kb_relative_information_score: 89.0404, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7395, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9425,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8051, kappa: 0.7475, kb_relative_information_score: 1419.207, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8069, predictive_accuracy: 0.8053, prior_entropy: 2.4138, recall: 0.8053, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5888,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9046, kappa: 0.7695, kb_relative_information_score: 3449.1694, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9044, predictive_accuracy: 0.9049, prior_entropy: 0.8733, recall: 0.9049, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.5801,
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: 0.991, kappa: 0.99, kb_relative_information_score: 10636.5602, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 3.3208, recall: 0.991, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1725,
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: 0.9913, kappa: 0.9903, kb_relative_information_score: 10626.5043, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1742,
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: 10752.4232, mean_absolute_error: 0.0079, 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: 0.0437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1492,
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: 0.7234, f_measure: 0.7463, kappa: 0.2554, kb_relative_information_score: 85.2164, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7437, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.399, root_relative_squared_error: 0.9369,
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: 0.9922, kappa: 0.9913, kb_relative_information_score: 10692.7962, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 3.3208, recall: 0.9922, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1565,
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: 0.9326, f_measure: 0.8704, kappa: 0.7408, kb_relative_information_score: 1257.6017, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8704, predictive_accuracy: 0.8704, prior_entropy: 1, recall: 0.8704, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6737,
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: 0.9915, kappa: 0.9906, kb_relative_information_score: 10666.9616, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9916, predictive_accuracy: 0.9915, prior_entropy: 3.3208, recall: 0.9915, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1643,
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: 0.9638, kappa: 0.9623, kb_relative_information_score: 18304.0444, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9641, predictive_accuracy: 0.9638, prior_entropy: 4.6998, recall: 0.9638, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3365,
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: 0.9969, kappa: 0.9953, kb_relative_information_score: 5394.6008, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0374, root_relative_squared_error: 0.0919,
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: 0.7274, f_measure: 0.7423, kappa: 0.244, kb_relative_information_score: 96.9079, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7385, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9345,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8044, kappa: 0.7469, kb_relative_information_score: 1407.3985, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8059, predictive_accuracy: 0.8047, prior_entropy: 2.4138, recall: 0.8047, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5947,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9838, kappa: 0.982, kb_relative_information_score: 5143.6897, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 3.3218, recall: 0.9838, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.2735,
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: 0.9075, f_measure: 0.8238, kappa: 0.6368, kb_relative_information_score: 238.5887, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.827, predictive_accuracy: 0.8259, prior_entropy: 0.9826, recall: 0.8259, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7231,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.6876, kappa: 0.5961, kb_relative_information_score: 4730.7857, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7016, predictive_accuracy: 0.6973, prior_entropy: 2.1936, recall: 0.6973, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.7554,
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: 0.9017, f_measure: 0.9331, kappa: 0.5264, kb_relative_information_score: 90.3294, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9341, predictive_accuracy: 0.9407, prior_entropy: 0.4254, recall: 0.9407, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.7716,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8053, kappa: 0.7478, kb_relative_information_score: 1398.52, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8067, predictive_accuracy: 0.8053, prior_entropy: 2.4138, recall: 0.8053, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.5937,
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: 0.9306, f_measure: 0.7304, kappa: 0.6486, kb_relative_information_score: 552.7222, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7266, predictive_accuracy: 0.7364, prior_entropy: 1.9991, recall: 0.7364, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.273, root_relative_squared_error: 0.6306,
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: 0.918, f_measure: 0.9519, kappa: 0.7946, kb_relative_information_score: 3173.13, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9525, predictive_accuracy: 0.9538, prior_entropy: 0.5883, recall: 0.9538, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.5726,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 591.5783, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9732, predictive_accuracy: 0.9728, prior_entropy: 0.9297, recall: 0.9728, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.3529,
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: 0.7614, f_measure: 0.7851, kappa: 0.2395, kb_relative_information_score: 911.4667, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7959, predictive_accuracy: 0.8229, prior_entropy: 0.7088, recall: 0.8229, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9168,
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: 0.9326, f_measure: 0.8688, kappa: 0.7377, kb_relative_information_score: 1273.3065, mean_absolute_error: 0.279, 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: 0.558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6706,
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: 0.9986, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 1818.1659, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9728, predictive_accuracy: 0.9725, prior_entropy: 3.3219, recall: 0.9725, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.298,
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: 0.9138, f_measure: 0.95, kappa: 0.7861, kb_relative_information_score: 3144.4048, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9509, predictive_accuracy: 0.9522, prior_entropy: 0.5883, recall: 0.9522, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.5734,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 601.9594, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9297, recall: 0.9628, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3691,
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: 0.9158, f_measure: 0.953, kappa: 0.7991, kb_relative_information_score: 3163.7012, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9539, predictive_accuracy: 0.955, prior_entropy: 0.5883, recall: 0.955, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.5638,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8067, kappa: 0.7495, kb_relative_information_score: 1415.411, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8087, predictive_accuracy: 0.8068, prior_entropy: 2.4138, recall: 0.8068, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.5898,
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: 0.9944, f_measure: 0.9723, kappa: 0.9439, kb_relative_information_score: 10292.812, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9906, recall: 0.9723, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.2796,
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: 0.9445, kappa: 0.7893, kb_relative_information_score: 271.1933, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8864, prior_entropy: 1.3212, recall: 0.8864, relative_absolute_error: 0.5717, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.6743,
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: 0.9971, kappa: 0.9956, kb_relative_information_score: 5398.9251, mean_absolute_error: 0.0048, 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: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0916,
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: 0.9169, f_measure: 0.8463, kappa: 0.6832, kb_relative_information_score: 233.6122, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8499, predictive_accuracy: 0.8481, prior_entropy: 0.9826, recall: 0.8481, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7178,
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: 0.9102, f_measure: 0.819, kappa: 0.6268, kb_relative_information_score: 231.339, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8255, predictive_accuracy: 0.8222, prior_entropy: 0.9826, recall: 0.8222, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7264,
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: 0.9335, f_measure: 0.8681, kappa: 0.7362, kb_relative_information_score: 1271.5608, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 1, recall: 0.8681, relative_absolute_error: 0.5592, 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 cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.544, kappa: 0.2921, kb_relative_information_score: 298.0604, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5444, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.9197,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8892, kappa: 0.876, kb_relative_information_score: 618.5543, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8895, predictive_accuracy: 0.8898, prior_entropy: 3.1699, recall: 0.8898, relative_absolute_error: 0.4988, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.6886,
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: 0.9157, f_measure: 0.9197, kappa: 0.4011, kb_relative_information_score: 38.1661, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9311, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.8056,
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: 0.7264, f_measure: 0.7493, kappa: 0.2642, kb_relative_information_score: 91.0254, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7473, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.936,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9827, kappa: 0.8233, kb_relative_information_score: 2972.9772, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2826, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5012,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.8353, kappa: 0.8178, kb_relative_information_score: 1539.2673, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8354, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9117, kappa: 0.7866, kb_relative_information_score: 3578.5751, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9115, predictive_accuracy: 0.9119, prior_entropy: 0.8733, recall: 0.9119, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5617,
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: 0.9661, kappa: 0.9647, kb_relative_information_score: 18450.0249, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9663, predictive_accuracy: 0.9661, prior_entropy: 4.6998, recall: 0.9661, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.3217,
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: 0.7951, f_measure: 0.7504, kappa: 0.3824, kb_relative_information_score: 206.3353, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7574, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8762,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9024, kappa: 0.8896, kb_relative_information_score: 952.6123, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9037, predictive_accuracy: 0.9019, prior_entropy: 3.1699, recall: 0.9019, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.392,
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: 0.7596, f_measure: 0.7762, kappa: 0.2058, kb_relative_information_score: 786.8124, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9199,
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: 0.8904, f_measure: 0.9267, kappa: 0.4708, kb_relative_information_score: 91.7943, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9294, predictive_accuracy: 0.937, prior_entropy: 0.4254, recall: 0.937, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7733,
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: 0.9172, f_measure: 0.9527, kappa: 0.7971, kb_relative_information_score: 3070.9418, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9538, predictive_accuracy: 0.9548, prior_entropy: 0.5883, recall: 0.9548, relative_absolute_error: 0.3868, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5652,
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: 0.9943, f_measure: 0.9709, kappa: 0.9411, kb_relative_information_score: 10078.8934, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.9906, recall: 0.971, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2969,
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: 0.9852, kappa: 0.983, kb_relative_information_score: 945.7262, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9853, predictive_accuracy: 0.9852, prior_entropy: 2.9931, recall: 0.9852, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.3277,
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: 0.8829, f_measure: 0.8104, kappa: 0.6177, kb_relative_information_score: 1651.7776, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7464,
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: 0.9945, f_measure: 0.9722, kappa: 0.9437, kb_relative_information_score: 10275.9607, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.9906, recall: 0.9722, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2811,
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: 0.8234, f_measure: 0.8331, kappa: 0.2881, kb_relative_information_score: 152.7419, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8355, predictive_accuracy: 0.8596, prior_entropy: 0.622, recall: 0.8596, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8886,
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: 0.975, kappa: 0.9722, kb_relative_information_score: 1837.0249, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2783,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7666, kappa: 0.7433, kb_relative_information_score: 1410.9885, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7648, predictive_accuracy: 0.769, prior_entropy: 3.3219, recall: 0.769, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.6426,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.7702, kappa: 0.7467, kb_relative_information_score: 1443.2625, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6131,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9107, kappa: 0.7842, kb_relative_information_score: 3651.7868, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9106, predictive_accuracy: 0.911, prior_entropy: 0.8733, recall: 0.911, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.255, root_relative_squared_error: 0.56,
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: 0.9122, f_measure: 0.6629, kappa: 0.5676, kb_relative_information_score: 411.7529, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6715, predictive_accuracy: 0.6644, prior_entropy: 2.2629, recall: 0.6644, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.7393,
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: 0.6171, f_measure: 0.5782, kappa: 0.1333, kb_relative_information_score: 34.8666, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5849, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9828,
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: 0.9927, kappa: 0.9919, kb_relative_information_score: 10636.8132, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 3.3208, recall: 0.9927, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1666,
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: 0.9949, f_measure: 0.9667, kappa: 0.9459, kb_relative_information_score: 2390.4199, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9667, predictive_accuracy: 0.9668, prior_entropy: 1.4804, recall: 0.9668, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4299,
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: 0.9239, f_measure: 0.8384, kappa: 0.6669, kb_relative_information_score: 246.0043, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8432, predictive_accuracy: 0.8407, prior_entropy: 0.9826, recall: 0.8407, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7029,
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: 0.9319, f_measure: 0.8696, kappa: 0.7363, kb_relative_information_score: 421.7328, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6221,
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: 0.9136, f_measure: 0.6806, kappa: 0.5922, kb_relative_information_score: 419.231, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6869, predictive_accuracy: 0.6834, prior_entropy: 2.2629, recall: 0.6834, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.7357,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.981, kappa: 0.9586, kb_relative_information_score: 1624.7465, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9813, predictive_accuracy: 0.9809, prior_entropy: 1.2099, recall: 0.9809, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.2423,
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: 0.9985, f_measure: 0.9909, kappa: 0.9197, kb_relative_information_score: 3029.2307, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9908, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.3428,
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: 0.9973, f_measure: 0.9436, kappa: 0.9372, kb_relative_information_score: 1268.1814, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9443, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4614,
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: 0.9926, kappa: 0.9915, kb_relative_information_score: 924.8951, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3458,
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: 0.8123, f_measure: 0.8188, kappa: 0.4136, kb_relative_information_score: 136.2069, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.8433,
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: 0.9986, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 3152.2583, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.059, root_relative_squared_error: 0.1181,
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: 0.8236, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 245.5372, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7609, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6877, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8443,
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: 0.9307, f_measure: 0.8631, kappa: 0.7262, kb_relative_information_score: 1246.5665, mean_absolute_error: 0.2842, 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: 0.5684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6775,
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: 0.7467, f_measure: 0.6813, kappa: 0.1842, kb_relative_information_score: 68.6013, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6772, predictive_accuracy: 0.7101, prior_entropy: 0.865, recall: 0.7101, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.9238,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9183, kappa: 0.2707, kb_relative_information_score: -248.6811, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.8995,
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: 0.9444, kappa: 0.7181, kb_relative_information_score: 318.4104, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.848, prior_entropy: 1.3212, recall: 0.848, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.6471,
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: 0.7614, f_measure: 0.784, kappa: 0.2359, kb_relative_information_score: 854.0655, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7937, predictive_accuracy: 0.8218, prior_entropy: 0.7088, recall: 0.8218, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3624, 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 mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.967, kappa: 0.9633, kb_relative_information_score: 1656.7934, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9671, predictive_accuracy: 0.967, prior_entropy: 3.3219, recall: 0.967, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.4077,
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: 0.9926, kappa: 0.9915, kb_relative_information_score: 956.1563, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 2.9931, recall: 0.9926, relative_absolute_error: 0.2232, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.309,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.7666, kappa: 0.7444, kb_relative_information_score: 1428.0133, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.764, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6115,
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: 0.9138, f_measure: 0.9495, kappa: 0.7835, kb_relative_information_score: 3103.2154, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9505, predictive_accuracy: 0.9518, prior_entropy: 0.5883, recall: 0.9518, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.5758,
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: 0.9393, kappa: 0.9293, kb_relative_information_score: 2130.07, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9395, predictive_accuracy: 0.9394, prior_entropy: 2.8074, recall: 0.9394, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.115, root_relative_squared_error: 0.3286,
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: 0.9655, kappa: 0.9617, kb_relative_information_score: 1834.1316, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 3.3219, recall: 0.9655, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2914,
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: 0.6812, kappa: 0.5886, kb_relative_information_score: 4465.098, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7039, predictive_accuracy: 0.693, prior_entropy: 2.1936, recall: 0.693, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.301, root_relative_squared_error: 0.7689,
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: 0.9994, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 3134.1157, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, recall: 0.9953, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.1268,
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: 0.9961, f_measure: 0.9379, kappa: 0.9309, kb_relative_information_score: 1314.3785, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9385, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.4337,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9851, kappa: 0.8511, kb_relative_information_score: 3084.0078, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9849, predictive_accuracy: 0.9853, prior_entropy: 0.3037, recall: 0.9853, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4781,
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: 0.9956, f_measure: 0.938, kappa: 0.9278, kb_relative_information_score: 2130.3328, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9383, predictive_accuracy: 0.9381, prior_entropy: 2.8074, recall: 0.9381, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3299,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9099, kappa: 0.7821, kb_relative_information_score: 3456.8312, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9097, predictive_accuracy: 0.9103, prior_entropy: 0.8733, recall: 0.9103, relative_absolute_error: 0.3769, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5698,
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: 0.7347, f_measure: 0.6715, kappa: 0.1631, kb_relative_information_score: 63.2196, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6637, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9341,
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: 0.7899, f_measure: 0.7444, kappa: 0.3662, kb_relative_information_score: 194.4295, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7562, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.8003, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.881,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9132, kappa: 0.79, kb_relative_information_score: 3593.349, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.913, predictive_accuracy: 0.9136, prior_entropy: 0.8733, recall: 0.9136, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5565,
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: 0.9344, f_measure: 0.8665, kappa: 0.7331, kb_relative_information_score: 1309.253, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8666, predictive_accuracy: 0.8665, prior_entropy: 1, recall: 0.8665, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.331, root_relative_squared_error: 0.662,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.7709, kappa: 0.7483, kb_relative_information_score: 1460.0133, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7696, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6135,
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: 0.7338, f_measure: 0.6556, kappa: 0.1151, kb_relative_information_score: 61.8654, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6524, predictive_accuracy: 0.6998, prior_entropy: 0.865, recall: 0.6998, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9323,