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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 blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7513, kappa: 0.2702, kb_relative_information_score: 92.3952, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7494, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9297,
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: 0.9958, f_measure: 0.9726, kappa: 0.9444, kb_relative_information_score: 10162.0018, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.9906, recall: 0.9726, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.2868,
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: 0.8319, f_measure: 0.7639, kappa: 0.4722, kb_relative_information_score: 233.1749, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7641, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.833,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9788, kappa: 0.9766, kb_relative_information_score: 5249.8788, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9789, predictive_accuracy: 0.9787, prior_entropy: 3.4594, recall: 0.9787, relative_absolute_error: 0.0921, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.2208,
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: 0.8312, f_measure: 0.7657, kappa: 0.4779, kb_relative_information_score: 247.1888, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7648, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9848, kappa: 0.8487, kb_relative_information_score: 3182.749, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4757,
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: 0.7926, f_measure: 0.752, kappa: 0.3852, kb_relative_information_score: 193.2272, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7635, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8792,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.6188, kappa: 0.4958, kb_relative_information_score: 2660.7948, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6141, predictive_accuracy: 0.6329, prior_entropy: 2.3005, recall: 0.6329, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.8139,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9799, kappa: 0.9778, kb_relative_information_score: 5261.8255, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.2159,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9268, kappa: 0.2613, kb_relative_information_score: -515.0453, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9315, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.8464,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9647, kappa: 0.9244, kb_relative_information_score: 483.933, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3582,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7606, f_measure: 0.7826, kappa: 0.2304, kb_relative_information_score: 820.3508, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7929, predictive_accuracy: 0.8213, prior_entropy: 0.7088, recall: 0.8213, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9181,
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: 0.6868, kappa: 0.5945, kb_relative_information_score: 4783.5975, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6975, predictive_accuracy: 0.6954, prior_entropy: 2.1936, recall: 0.6954, relative_absolute_error: 0.6345, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.7559,
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: 0.735, f_measure: 0.555, kappa: 0.3089, kb_relative_information_score: 352.6892, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5563, predictive_accuracy: 0.5567, prior_entropy: 1.5392, recall: 0.5567, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9156,
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: 0.958, f_measure: 0.7757, kappa: 0.7544, kb_relative_information_score: 1389.2057, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.773, predictive_accuracy: 0.779, prior_entropy: 3.3219, recall: 0.779, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6469,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9258, kappa: 0.2511, kb_relative_information_score: -518.1366, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9295, predictive_accuracy: 0.9424, prior_entropy: 0.3411, recall: 0.9424, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.8454,
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: 0.9067, f_measure: 0.8115, kappa: 0.6113, kb_relative_information_score: 225.1975, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.8177, predictive_accuracy: 0.8148, prior_entropy: 0.9826, recall: 0.8148, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.733,
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: 0.8468, f_measure: 0.9191, kappa: 0.2827, kb_relative_information_score: -265.7306, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9324, prior_entropy: 0.3667, recall: 0.9324, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.9152,
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: 0.9822, kappa: 0.974, kb_relative_information_score: 760.962, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9824, predictive_accuracy: 0.9822, prior_entropy: 1.7898, recall: 0.9822, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.257,
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: 0.9311, f_measure: 0.8626, kappa: 0.6894, kb_relative_information_score: 589.6732, mean_absolute_error: 0.2073, 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: 0.4634, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6492,
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: 0.9946, f_measure: 0.9734, kappa: 0.9461, kb_relative_information_score: 9805.8239, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.148, 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 satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9193, kappa: 0.9026, kb_relative_information_score: 5622.8505, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9194, predictive_accuracy: 0.9213, prior_entropy: 2.4836, recall: 0.9213, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3876,
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: 0.992, kappa: 0.9911, kb_relative_information_score: 10730.6495, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3208, recall: 0.992, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1501,
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: 0.7382, f_measure: 0.6661, kappa: 0.146, kb_relative_information_score: 63.7678, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6585, predictive_accuracy: 0.6947, prior_entropy: 0.865, recall: 0.6947, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9348,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9649, kappa: 0.9429, kb_relative_information_score: 2355.8796, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 1.4804, recall: 0.9649, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4404,
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: 0.993, f_measure: 0.9216, kappa: 0.9056, kb_relative_information_score: 5595.5002, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9219, predictive_accuracy: 0.9238, prior_entropy: 2.4836, recall: 0.9238, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3888,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9905, kb_relative_information_score: 941.2977, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 2.9931, recall: 0.9917, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.3323,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5381.3429, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0988,
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: 0.9237, f_measure: 0.8586, kappa: 0.6814, kb_relative_information_score: 598.9324, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8582, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6591,
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: 0.9271, f_measure: 0.8639, kappa: 0.7247, kb_relative_information_score: 376.541, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8641, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.323, root_relative_squared_error: 0.65,
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: 0.9841, f_measure: 0.8433, kappa: 0.8261, kb_relative_information_score: 1596.9653, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8438, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5134,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9173, kappa: 0.9003, kb_relative_information_score: 5579.8637, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9174, predictive_accuracy: 0.9194, prior_entropy: 2.4836, recall: 0.9194, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.3953,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.6248, kappa: 0.5036, kb_relative_information_score: 2674.4166, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6203, predictive_accuracy: 0.638, prior_entropy: 2.3005, recall: 0.638, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.8129,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.97, kappa: 0.9358, kb_relative_information_score: 491.1218, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.953, recall: 0.9701, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.35,
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: 0.8109, f_measure: 0.8137, kappa: 0.3955, kb_relative_information_score: 136.5959, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.811, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.676, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.8476,
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: 0.9932, kappa: 0.9924, kb_relative_information_score: 10666.057, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 3.3208, recall: 0.9932, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1609,
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: 0.9805, kappa: 0.9783, kb_relative_information_score: 1818.0772, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9806, predictive_accuracy: 0.9805, prior_entropy: 3.3219, recall: 0.9805, relative_absolute_error: 0.1759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2855,
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: 0.8259, f_measure: 0.8362, kappa: 0.3024, kb_relative_information_score: 167.9329, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8387, predictive_accuracy: 0.8615, prior_entropy: 0.622, recall: 0.8615, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8846,
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: 0.8134, f_measure: 0.8227, kappa: 0.4223, kb_relative_information_score: 140.08, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8221, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.843,
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: 0.9983, f_measure: 0.965, kappa: 0.9611, kb_relative_information_score: 1650.974, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 3.3219, recall: 0.965, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.4117,
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: 0.9928, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 592.6781, mean_absolute_error: 0.0779, 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: 0.1723, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3518,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9819, kappa: 0.98, kb_relative_information_score: 5237.0737, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 3.4594, recall: 0.9818, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.2203,
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: 0.91, kappa: 0.7823, kb_relative_information_score: 3473.7135, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9098, predictive_accuracy: 0.9103, prior_entropy: 0.8733, recall: 0.9103, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2598, 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 breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 598.8219, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3637,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8068, kappa: 0.6105, kb_relative_information_score: 1640.0532, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7509,
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: 0.9233, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 376.5482, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6601,
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: 0.9415, f_measure: 0.892, kappa: 0.458, kb_relative_information_score: 400.6403, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8895, predictive_accuracy: 0.9012, prior_entropy: 0.5368, recall: 0.9012, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7582,
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: 0.9609, kappa: 0.9593, kb_relative_information_score: 18583.2401, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 4.6998, recall: 0.9609, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0601, root_relative_squared_error: 0.3124,
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: 0.9954, kappa: 0.9947, kb_relative_information_score: 944.4473, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.3134,
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: 0.9915, f_measure: 0.9842, kappa: 0.8421, kb_relative_information_score: 3159.4093, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4735,
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: 0.9244, f_measure: 0.8674, kappa: 0.7, kb_relative_information_score: 584.5799, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4677, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6577,
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: 0.8219, f_measure: 0.8322, kappa: 0.2901, kb_relative_information_score: 162.5262, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8303, predictive_accuracy: 0.8559, prior_entropy: 0.622, recall: 0.8559, relative_absolute_error: 0.7672, 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 vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.7384, kappa: 0.6564, kb_relative_information_score: 568.8642, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7353, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.6295,
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: 0.921, f_measure: 0.9389, kappa: 0.5655, kb_relative_information_score: 78.0252, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.942, predictive_accuracy: 0.9463, prior_entropy: 0.4254, recall: 0.9463, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.7662,
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: 0.9275, f_measure: 0.931, kappa: 0.502, kb_relative_information_score: 86.8819, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9351, predictive_accuracy: 0.9407, prior_entropy: 0.4254, recall: 0.9407, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.7642,
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: 0.8944, kappa: 0.8802, kb_relative_information_score: 949.6114, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8964, predictive_accuracy: 0.8935, prior_entropy: 3.1699, recall: 0.8935, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.3975,
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: 0.9979, f_measure: 0.9906, kappa: 0.9175, kb_relative_information_score: 2902.9737, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 0.3333, recall: 0.9907, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.375,
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: 0.621, f_measure: 0.5944, kappa: 0.1737, kb_relative_information_score: 30.6321, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6142, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9773,
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: 0.808, kappa: 0.7508, kb_relative_information_score: 1392.3232, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.8102, predictive_accuracy: 0.8078, prior_entropy: 2.4138, recall: 0.8078, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.5964,
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: 0.7229, f_measure: 0.7424, kappa: 0.2432, kb_relative_information_score: 87.033, mean_absolute_error: 0.3064, 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: 0.8441, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9373,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9468, kappa: 0.9407, kb_relative_information_score: 1278.7637, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9474, predictive_accuracy: 0.9466, prior_entropy: 3.3218, recall: 0.9466, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.4511,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.9277, kappa: 0.2744, kb_relative_information_score: -493.909, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.931, predictive_accuracy: 0.9432, prior_entropy: 0.3411, recall: 0.9432, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.8446,
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: 0.8647, f_measure: 0.9158, kappa: 0.2419, kb_relative_information_score: -307.9068, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9124, predictive_accuracy: 0.9315, prior_entropy: 0.3667, recall: 0.9315, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9,
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: 0.9154, f_measure: 0.6985, kappa: 0.6097, kb_relative_information_score: 4766.804, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.714, predictive_accuracy: 0.7076, prior_entropy: 2.1936, recall: 0.7076, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.7494,
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: 0.9965, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 10059.8937, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.9906, recall: 0.9715, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.2901,
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: 0.9605, kappa: 0.9561, kb_relative_information_score: 1614.6541, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 3.3219, recall: 0.9605, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.4361,
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: 0.9654, f_measure: 0.7687, kappa: 0.7461, kb_relative_information_score: 1450.9826, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.616,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.6167, kappa: 0.4925, kb_relative_information_score: 2744.7124, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6119, predictive_accuracy: 0.6291, prior_entropy: 2.3005, recall: 0.6291, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8167,
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: 0.9273, f_measure: 0.8565, kappa: 0.7094, kb_relative_information_score: 401.9068, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3208, 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 phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9044, kappa: 0.7688, kb_relative_information_score: 3547.8216, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9042, predictive_accuracy: 0.9047, prior_entropy: 0.8733, recall: 0.9047, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5824,
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: 0.9908, kappa: 0.9894, kb_relative_information_score: 970.9881, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9908, predictive_accuracy: 0.9907, prior_entropy: 2.9931, recall: 0.9907, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.095, root_relative_squared_error: 0.2874,
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: 0.9952, f_measure: 0.9727, kappa: 0.9446, kb_relative_information_score: 9775.3904, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9727, predictive_accuracy: 0.9727, prior_entropy: 0.9906, recall: 0.9727, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3005,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5398.144, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0372, root_relative_squared_error: 0.0913,
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: 0.9922, f_measure: 0.9186, kappa: 0.9022, kb_relative_information_score: 5600.2613, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.919, predictive_accuracy: 0.921, prior_entropy: 2.4836, recall: 0.921, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.3912,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9612, kappa: 0.9167, kb_relative_information_score: 488.9429, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1516, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.361,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 944.3813, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3156,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5390.1533, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.039, root_relative_squared_error: 0.0959,
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: 0.9985, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1751.3434, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.234, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.342,
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: 0.9729, kappa: 0.9402, kb_relative_information_score: 596.4674, mean_absolute_error: 0.0749, 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: 0.1657, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3494,
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: 0.975, kappa: 0.9722, kb_relative_information_score: 1782.1204, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 3.3219, recall: 0.975, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.3162,
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: 0.7814, f_measure: 0.7343, kappa: 0.3421, kb_relative_information_score: 195.1221, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8867,
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: 0.6212, f_measure: 0.588, kappa: 0.1626, kb_relative_information_score: 29.6307, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6095, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4832, root_relative_squared_error: 0.9789,
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: 0.8211, f_measure: 0.8355, kappa: 0.3052, kb_relative_information_score: 153.3278, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8342, predictive_accuracy: 0.8582, prior_entropy: 0.622, recall: 0.8582, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.8913,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.617, kappa: 0.4931, kb_relative_information_score: 2733.0677, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.612, predictive_accuracy: 0.6301, prior_entropy: 2.3005, recall: 0.6301, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8144,
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: 0.9918, f_measure: 0.9671, kappa: 0.9274, kb_relative_information_score: 600.0824, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9672, predictive_accuracy: 0.9671, prior_entropy: 0.9297, recall: 0.9671, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3615,
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: 0.9077, f_measure: 0.6816, kappa: 0.5884, kb_relative_information_score: 4627.7776, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6962, predictive_accuracy: 0.6916, prior_entropy: 2.1936, recall: 0.6916, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7617,
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: 0.9929, f_measure: 0.9729, kappa: 0.9402, kb_relative_information_score: 597.764, mean_absolute_error: 0.0733, 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: 0.1622, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3484,
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: 0.9525, f_measure: 0.7748, kappa: 0.7528, kb_relative_information_score: 1399.558, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7728, predictive_accuracy: 0.7775, prior_entropy: 3.3219, recall: 0.7775, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6518,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9819, kappa: 0.98, kb_relative_information_score: 5233.9642, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.982, predictive_accuracy: 0.9818, prior_entropy: 3.4594, recall: 0.9818, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.2216,
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: 0.9604, f_measure: 0.7063, kappa: 0.6756, kb_relative_information_score: 1482.9567, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7073, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6383,
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: 0.9401, f_measure: 0.9041, kappa: 0.5213, kb_relative_information_score: 405.9927, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9026, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.7592,
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: 0.5655, f_measure: 0.1959, kappa: 0.0429, kb_relative_information_score: 44.7383, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2038, predictive_accuracy: 0.2095, prior_entropy: 2.5803, recall: 0.2095, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.373, root_relative_squared_error: 1.0015,
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: 0.9933, f_measure: 0.9743, kappa: 0.9434, kb_relative_information_score: 595.9217, mean_absolute_error: 0.0751, 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: 0.1662, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3483,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.62, kappa: 0.4971, kb_relative_information_score: 2675.6698, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6153, predictive_accuracy: 0.6332, prior_entropy: 2.3005, recall: 0.6332, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.8146,
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: 0.915, f_measure: 0.6725, kappa: 0.5806, kb_relative_information_score: 416.8371, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.678, predictive_accuracy: 0.6739, prior_entropy: 2.2629, recall: 0.6739, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7354,
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: 0.8902, f_measure: 0.9251, kappa: 0.4622, kb_relative_information_score: 78.5747, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9265, predictive_accuracy: 0.9352, prior_entropy: 0.4254, recall: 0.9352, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.8063,
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: 0.9985, f_measure: 0.972, kappa: 0.9689, kb_relative_information_score: 1727.7401, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9722, predictive_accuracy: 0.972, prior_entropy: 3.3219, recall: 0.972, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3608,
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: 0.9519, kappa: 0.7937, kb_relative_information_score: 3081.3187, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9529, predictive_accuracy: 0.954, prior_entropy: 0.5883, recall: 0.954, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5647,
Hilde Weerts 6 years ago
ran flow sklearn.model_selection._searc ... st.RandomForestClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9636, kappa: 0.9621, kb_relative_information_score: 18564.886, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9639, predictive_accuracy: 0.9636, prior_entropy: 4.6998, recall: 0.9636, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.3142,
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: 0.6248, f_measure: 0.5604, kappa: 0.1241, kb_relative_information_score: 22.2323, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.978,