OpenML

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: 0.9849, kappa: 0.9832, kb_relative_information_score: 5242.3914, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 3.3218, recall: 0.9849, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.2462,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 718.4069, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2961,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 1679.6625, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9578, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.3981,

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: 0.9124, f_measure: 0.8331, kappa: 0.6559, kb_relative_information_score: 234.7539, mean_absolute_error: 0.2939, 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: 0.6024, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.72,

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: 0.9135, f_measure: 0.9398, kappa: 0.576, kb_relative_information_score: 84.2111, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9414, predictive_accuracy: 0.9463, prior_entropy: 0.4254, recall: 0.9463, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7698,

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: 0.9824, kappa: 0.9804, kb_relative_information_score: 5263.2794, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 3.3218, recall: 0.9824, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.073, root_relative_squared_error: 0.2432,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9915, kappa: 0.9256, kb_relative_information_score: 3101.0072, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.3371,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9915, kappa: 0.9256, kb_relative_information_score: 3075.96, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9915, predictive_accuracy: 0.9915, prior_entropy: 0.3333, recall: 0.9915, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3395,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 601.6942, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3468,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8976, kappa: 0.4852, kb_relative_information_score: 398.109, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8961, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.7586,

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: 0.8355, f_measure: 0.7719, kappa: 0.4912, kb_relative_information_score: 242.3111, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7714, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9016, kappa: 0.5055, kb_relative_information_score: 415.3603, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9005, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.248, root_relative_squared_error: 0.7577,

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: 0.9478, f_measure: 0.7971, kappa: 0.7369, kb_relative_information_score: 1367.1822, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.799, predictive_accuracy: 0.797, prior_entropy: 2.4138, recall: 0.797, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6037,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9168, kappa: 0.8995, kb_relative_information_score: 5596.7989, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9167, predictive_accuracy: 0.9188, prior_entropy: 2.4836, recall: 0.9188, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3935,

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: 0.9496, f_measure: 0.8073, kappa: 0.7505, kb_relative_information_score: 1434.0234, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8088, predictive_accuracy: 0.8073, prior_entropy: 2.4138, recall: 0.8073, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.5864,

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: 0.9982, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 1627.4511, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9643, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.128, root_relative_squared_error: 0.4268,

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: 0.8069, f_measure: 0.8263, kappa: 0.4402, kb_relative_information_score: 137.7107, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8238, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.344, root_relative_squared_error: 0.8521,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9528, kappa: 0.901, kb_relative_information_score: 3819.1592, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9674, recall: 0.9528, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3971,

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: 0.964, kappa: 0.96, kb_relative_information_score: 1796.7566, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9646, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3191,

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: 0.9923, f_measure: 0.9019, kappa: 0.8885, kb_relative_information_score: 936.5627, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9039, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.403,

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: 10714.4527, mean_absolute_error: 0.0095, 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: 0.0527, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1518,

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: 0.9614, kappa: 0.9148, kb_relative_information_score: 603.2385, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9297, recall: 0.9614, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3635,

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: 0.993, f_measure: 0.9203, kappa: 0.9104, kb_relative_information_score: 759.2232, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9219, predictive_accuracy: 0.9204, prior_entropy: 3.1699, recall: 0.9204, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5547,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9542, kappa: 0.9039, kb_relative_information_score: 3705.7097, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.9674, recall: 0.9544, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4022,

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: 0.9123, f_measure: 0.9523, kappa: 0.7966, kb_relative_information_score: 3194.6523, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9529, predictive_accuracy: 0.9542, prior_entropy: 0.5883, recall: 0.9542, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.5664,

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: 0.8807, f_measure: 0.8054, kappa: 0.6078, kb_relative_information_score: 1555.0129, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553,

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: 0.9924, f_measure: 0.9672, kappa: 0.9275, kb_relative_information_score: 605.7851, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9674, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3536,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.711, kappa: 0.68, kb_relative_information_score: 1496.8758, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7135, predictive_accuracy: 0.712, prior_entropy: 3.3219, recall: 0.712, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.188, root_relative_squared_error: 0.6268,

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: 0.9989, f_measure: 0.977, kappa: 0.9744, kb_relative_information_score: 1787.7626, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9771, predictive_accuracy: 0.977, prior_entropy: 3.3219, recall: 0.977, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3139,

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: 0.9234, f_measure: 0.9134, kappa: 0.3484, kb_relative_information_score: 31.3141, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9261, predictive_accuracy: 0.9315, prior_entropy: 0.4254, recall: 0.9315, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.8117,

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: 0.9097, f_measure: 0.6849, kappa: 0.5934, kb_relative_information_score: 4520.8597, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.7059, predictive_accuracy: 0.6963, prior_entropy: 2.1936, recall: 0.6963, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.765,

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: 0.9433, kappa: 0.8012, kb_relative_information_score: 284.3569, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8928, prior_entropy: 1.3212, recall: 0.8928, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6615,

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: 0.9518, f_measure: 0.7722, kappa: 0.7489, kb_relative_information_score: 1441.3617, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7709, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6414,

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: 0.9964, f_measure: 0.971, kappa: 0.9412, kb_relative_information_score: 9820.885, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.9906, recall: 0.9711, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3023,

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: 0.7821, kappa: 0.2284, kb_relative_information_score: 860.9778, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7922, predictive_accuracy: 0.8209, prior_entropy: 0.7088, recall: 0.8209, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.918,

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: 0.9929, f_measure: 0.9203, kappa: 0.9104, kb_relative_information_score: 758.8833, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9221, predictive_accuracy: 0.9204, prior_entropy: 3.1699, recall: 0.9204, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.555,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.8468, kappa: 0.8306, kb_relative_information_score: 1585.8184, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.847, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.515,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9879, kb_relative_information_score: 733.2406, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 1.7898, recall: 0.9917, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.2767,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.9026, kappa: 0.5138, kb_relative_information_score: 415.8038, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9009, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.7492,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.8787, kappa: 0.2371, kb_relative_information_score: -188.111, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.9021, prior_entropy: 0.478, recall: 0.9021, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.271, root_relative_squared_error: 0.894,

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: 0.9987, f_measure: 0.9662, kappa: 0.9268, kb_relative_information_score: 1357.2227, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9677, predictive_accuracy: 0.9659, prior_entropy: 1.2099, recall: 0.9659, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4196,

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: 0.9154, f_measure: 0.9525, kappa: 0.7974, kb_relative_information_score: 3154.8923, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9532, predictive_accuracy: 0.9544, prior_entropy: 0.5883, recall: 0.9544, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2, root_relative_squared_error: 0.5739,

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: 0.9289, f_measure: 0.8627, kappa: 0.6898, kb_relative_information_score: 591.1745, mean_absolute_error: 0.205, 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: 0.4584, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6538,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.1943, kappa: 0.0363, kb_relative_information_score: 52.0236, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2012, predictive_accuracy: 0.2033, prior_entropy: 2.5803, recall: 0.2033, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.0087,

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: 0.7997, kappa: 0.74, kb_relative_information_score: 1392.5871, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8021, predictive_accuracy: 0.7996, prior_entropy: 2.4138, recall: 0.7996, relative_absolute_error: 0.3967, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.5949,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 688.7366, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3356,

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: 0.9233, f_measure: 0.9337, kappa: 0.5237, kb_relative_information_score: 82.1628, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9374, predictive_accuracy: 0.9426, prior_entropy: 0.4254, recall: 0.9426, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.7706,

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: 0.9926, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 599.0203, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9747, predictive_accuracy: 0.9742, prior_entropy: 0.9297, recall: 0.9742, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3472,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9846, kappa: 0.9775, kb_relative_information_score: 767.6331, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9848, predictive_accuracy: 0.9845, prior_entropy: 1.7898, recall: 0.9845, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2461,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7124, kappa: 0.6822, kb_relative_information_score: 1488.3162, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7147, predictive_accuracy: 0.714, prior_entropy: 3.3219, recall: 0.714, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.187, root_relative_squared_error: 0.6234,

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: 0.933, f_measure: 0.861, kappa: 0.719, kb_relative_information_score: 429.2558, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6199,

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: 0.9212, f_measure: 0.8506, kappa: 0.6975, kb_relative_information_score: 395.8841, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8506, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656,

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: 0.8249, f_measure: 0.7548, kappa: 0.4533, kb_relative_information_score: 243.4649, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7538, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8387,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 690.4298, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3337,

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: 3163.8189, mean_absolute_error: 0.0053, 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: 0.0106, 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 Bioresponse

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8073, kappa: 0.6115, kb_relative_information_score: 1683.682, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7471,

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: 0.9835, kappa: 0.9816, kb_relative_information_score: 5171.1816, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 3.3218, recall: 0.9835, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.2662,

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: 0.9944, f_measure: 0.9372, kappa: 0.9268, kb_relative_information_score: 2126.7194, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 2.8074, recall: 0.9372, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.3351,

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: 0.8231, f_measure: 0.8277, kappa: 0.2678, kb_relative_information_score: 156.0341, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8257, predictive_accuracy: 0.8535, prior_entropy: 0.622, recall: 0.8535, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8915,

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: 0.7576, f_measure: 0.7806, kappa: 0.2241, kb_relative_information_score: 736.0232, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7875, predictive_accuracy: 0.8186, prior_entropy: 0.7088, recall: 0.8186, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9212,

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: 0.9473, kappa: 0.7864, kb_relative_information_score: 270.7255, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.6755,

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: 0.9827, kappa: 0.9808, kb_relative_information_score: 5215.7481, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9828, predictive_accuracy: 0.9827, prior_entropy: 3.3218, recall: 0.9827, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2524,

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: 0.7233, f_measure: 0.5258, kappa: 0.2635, kb_relative_information_score: 272.021, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5256, predictive_accuracy: 0.5336, prior_entropy: 1.5392, recall: 0.5336, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9284,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 686.5753, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.2784, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.3399,

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: 0.9221, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 406.081, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6538,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 721.1317, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3859,

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: 0.998, f_measure: 0.9581, kappa: 0.9533, kb_relative_information_score: 1723.4404, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9583, predictive_accuracy: 0.958, prior_entropy: 3.3219, recall: 0.958, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.3742,

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: 0.7597, f_measure: 0.7812, kappa: 0.2262, kb_relative_information_score: 757.2424, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8195, prior_entropy: 0.7088, recall: 0.8195, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9198,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9168, kappa: 0.8995, kb_relative_information_score: 5596.7989, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9167, predictive_accuracy: 0.9188, prior_entropy: 2.4836, recall: 0.9188, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.3935,

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: 0.8073, kappa: 0.6114, kb_relative_information_score: 1665.0539, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.748,

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: 0.9004, f_measure: 0.9321, kappa: 0.5145, kb_relative_information_score: 85.8284, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9344, predictive_accuracy: 0.9407, prior_entropy: 0.4254, recall: 0.9407, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.779,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8662, kappa: 0.1389, kb_relative_information_score: -222.9232, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8661, predictive_accuracy: 0.8983, prior_entropy: 0.478, recall: 0.8983, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9057,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 1833.4948, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9645, predictive_accuracy: 0.964, prior_entropy: 3.3219, recall: 0.964, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2915,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 654.1106, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.3865,

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: 0.8717, f_measure: 0.9174, kappa: 0.2582, kb_relative_information_score: -266.8833, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8978,

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: 0.9995, f_measure: 0.9839, kappa: 0.9648, kb_relative_information_score: 1629.3417, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9841, predictive_accuracy: 0.9838, prior_entropy: 1.2099, recall: 0.9838, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2323,

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: 0.8615, f_measure: 0.9185, kappa: 0.2791, kb_relative_information_score: -257.9261, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9144, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.9132,

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: 0.9976, f_measure: 0.9675, kappa: 0.9291, kb_relative_information_score: 1559.5359, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9688, predictive_accuracy: 0.967, prior_entropy: 1.2099, recall: 0.967, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.3229,

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: 0.9501, f_measure: 0.8047, kappa: 0.7475, kb_relative_information_score: 1402.4506, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8062, predictive_accuracy: 0.8053, prior_entropy: 2.4138, recall: 0.8053, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.5915,

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: 0.951, f_measure: 0.7781, kappa: 0.7561, kb_relative_information_score: 1422.3366, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7765, predictive_accuracy: 0.7805, prior_entropy: 3.3219, recall: 0.7805, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6422,

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: 0.9424, kappa: 0.9358, kb_relative_information_score: 1317.8907, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9433, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.4259,

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: 0.8282, f_measure: 0.7618, kappa: 0.4695, kb_relative_information_score: 255.1, mean_absolute_error: 0.3074, 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: 0.6763, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8375,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 711.9579, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3791,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9926, kappa: 0.9918, kb_relative_information_score: 10689.9817, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9927, predictive_accuracy: 0.9926, prior_entropy: 3.3208, recall: 0.9926, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1559,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9516, kappa: 0.7933, kb_relative_information_score: 3162.2236, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9523, predictive_accuracy: 0.9536, prior_entropy: 0.5883, recall: 0.9536, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5705,

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: 0.63, f_measure: 0.589, kappa: 0.1583, kb_relative_information_score: 33.9303, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6011, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9781,

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: 0.8599, f_measure: 0.922, kappa: 0.3057, kb_relative_information_score: -265.9082, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.92, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9064,

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: 0.7247, f_measure: 0.7493, kappa: 0.2642, kb_relative_information_score: 96.5631, mean_absolute_error: 0.3014, 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: 0.8303, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9414,

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: 0.9282, f_measure: 0.7326, kappa: 0.6518, kb_relative_information_score: 556.8286, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7283, predictive_accuracy: 0.7388, prior_entropy: 1.9991, recall: 0.7388, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364,

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

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 752.556, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 0.1538, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2663,

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: 0.947, f_measure: 0.7964, kappa: 0.7361, kb_relative_information_score: 1407.8542, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7982, predictive_accuracy: 0.7965, prior_entropy: 2.4138, recall: 0.7965, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.5978,

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: 0.9842, kappa: 0.9824, kb_relative_information_score: 5234.4735, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 3.3218, recall: 0.9842, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.2483,

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: 0.9978, f_measure: 0.9575, kappa: 0.9528, kb_relative_information_score: 1587.257, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9578, predictive_accuracy: 0.9575, prior_entropy: 3.3219, recall: 0.9575, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4556,

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: 0.8186, f_measure: 0.8317, kappa: 0.2844, kb_relative_information_score: 144.9119, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8573, prior_entropy: 0.622, recall: 0.8573, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.894,

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: 0.82, f_measure: 0.8381, kappa: 0.3127, kb_relative_information_score: 137.9402, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8397, predictive_accuracy: 0.862, prior_entropy: 0.622, recall: 0.862, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8935,

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: 0.9989, f_measure: 0.9737, kappa: 0.9427, kb_relative_information_score: 1583.8739, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9745, predictive_accuracy: 0.9734, prior_entropy: 1.2099, recall: 0.9734, relative_absolute_error: 0.1062, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0971, 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 spambase

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.952, kappa: 0.8992, kb_relative_information_score: 3579.0967, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9523, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4154,

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: 0.9788, kappa: 0.9767, kb_relative_information_score: 851.3119, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9791, predictive_accuracy: 0.9788, prior_entropy: 3.4594, recall: 0.9788, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.3708,

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: 0.924, f_measure: 0.8667, kappa: 0.7301, kb_relative_information_score: 379.2838, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6603,

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: 0.9527, kappa: 0.9231, kb_relative_information_score: 2702.8023, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9531, predictive_accuracy: 0.9526, prior_entropy: 1.48, recall: 0.9526, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3668,

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