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Sean Broestl
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Sean's runs

Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.7012, kappa: 0.15, kb_relative_information_score: 0.0486, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.363, weighted_recall: 0.7126, number_of_instances: 748, precision: 0.6928, predictive_accuracy: 0.7126, prior_entropy: 0.7916, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.2269, unweighted_recall: 0.5699,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6974, kappa: 0.1399, kb_relative_information_score: 0.0352, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.363, weighted_recall: 0.7086, number_of_instances: 748, precision: 0.689, predictive_accuracy: 0.7086, prior_entropy: 0.7916, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.2364, unweighted_recall: 0.5654,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6947, kappa: 0.2864, kb_relative_information_score: 0.2084, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4202, weighted_recall: 0.69, number_of_instances: 1000, precision: 0.7011, predictive_accuracy: 0.69, prior_entropy: 0.8813, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.215, unweighted_recall: 0.6481,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8168, kappa: 0.7989, kb_relative_information_score: 0.8099, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8172, number_of_instances: 990, precision: 0.8178, predictive_accuracy: 0.8172, prior_entropy: 3.4594, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6342, unweighted_recall: 0.8172,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9863, kappa: 0.882, kb_relative_information_score: 0.8293, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9862, number_of_instances: 3772, precision: 0.9865, predictive_accuracy: 0.9862, prior_entropy: 0.3324, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4897, unweighted_recall: 0.9481,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.5918, kappa: 0.4813, kb_relative_information_score: 0.518, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5938, number_of_instances: 736, precision: 0.5905, predictive_accuracy: 0.5938, prior_entropy: 2.2621, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4031, root_relative_squared_error: 1.0187, unweighted_recall: 0.5681,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8544, kappa: 0.8195, kb_relative_information_score: 0.8261, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8537, number_of_instances: 6430, precision: 0.8554, predictive_accuracy: 0.8537, prior_entropy: 2.4834, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.601, unweighted_recall: 0.8304,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8921, kappa: 0.7793, kb_relative_information_score: 0.7769, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8921, number_of_instances: 45312, precision: 0.8922, predictive_accuracy: 0.8921, prior_entropy: 0.9835, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.6646, unweighted_recall: 0.8899,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.708, kappa: 0.6137, kb_relative_information_score: 0.6513, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7104, number_of_instances: 846, precision: 0.7069, predictive_accuracy: 0.7104, prior_entropy: 1.9991, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.879, unweighted_recall: 0.7127,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8814, kappa: 0.7368, kb_relative_information_score: 0.7286, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.453, weighted_recall: 0.882, number_of_instances: 958, precision: 0.8812, predictive_accuracy: 0.882, prior_entropy: 0.931, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.7217, unweighted_recall: 0.8645,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9152, kappa: 0.8624, kb_relative_information_score: 0.87, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4101, weighted_recall: 0.915, number_of_instances: 3190, precision: 0.9155, predictive_accuracy: 0.915, prior_entropy: 1.4802, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.5258, unweighted_recall: 0.9091,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.9212, kappa: 0.8352, kb_relative_information_score: 0.8315, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9211, number_of_instances: 4601, precision: 0.9214, predictive_accuracy: 0.9211, prior_entropy: 0.9674, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5744, unweighted_recall: 0.9187,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.6993, kappa: 0.3386, kb_relative_information_score: 0.3111, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6992, number_of_instances: 768, precision: 0.6995, predictive_accuracy: 0.6992, prior_entropy: 0.9331, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1506, unweighted_recall: 0.6694,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9637, kappa: 0.9597, kb_relative_information_score: 0.962, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.18, weighted_recall: 0.9637, number_of_instances: 10992, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 3.3208, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.284, unweighted_recall: 0.9636,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6934, kappa: 0.2821, kb_relative_information_score: 0.2058, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4202, weighted_recall: 0.689, number_of_instances: 1000, precision: 0.6992, predictive_accuracy: 0.689, prior_entropy: 0.8813, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.2169, unweighted_recall: 0.6455,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8189, kappa: 0.6336, kb_relative_information_score: 0.6313, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.494, weighted_recall: 0.8188, number_of_instances: 690, precision: 0.819, predictive_accuracy: 0.8188, prior_entropy: 0.9912, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8565, unweighted_recall: 0.8171,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.9061, kappa: 0.8956, kb_relative_information_score: 0.9018, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.18, weighted_recall: 0.906, number_of_instances: 5620, precision: 0.9064, predictive_accuracy: 0.906, prior_entropy: 3.3218, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4569, unweighted_recall: 0.9061,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.4814, kappa: 0.1983, kb_relative_information_score: 0.2621, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4813, number_of_instances: 1473, precision: 0.4815, predictive_accuracy: 0.4813, prior_entropy: 1.539, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.2504, unweighted_recall: 0.4627,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.6752, kappa: 0.6378, kb_relative_information_score: 0.6591, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.18, weighted_recall: 0.674, number_of_instances: 2000, precision: 0.6771, predictive_accuracy: 0.674, prior_entropy: 3.3219, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.8511, unweighted_recall: 0.674,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.6484, kappa: 0.6094, kb_relative_information_score: 0.6396, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, weighted_recall: 0.6485, number_of_instances: 2000, precision: 0.6492, predictive_accuracy: 0.6485, prior_entropy: 3.3219, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8732, unweighted_recall: 0.6485,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.813, kappa: 0.7922, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, weighted_recall: 0.813, number_of_instances: 2000, precision: 0.8139, predictive_accuracy: 0.813, prior_entropy: 3.3219, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446, unweighted_recall: 0.813,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9425, kappa: 0.8723, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9428, number_of_instances: 699, precision: 0.9426, predictive_accuracy: 0.9428, prior_entropy: 0.9293, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5033, unweighted_recall: 0.9327,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7497, kappa: 0.7217, kb_relative_information_score: 0.738, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, weighted_recall: 0.7495, number_of_instances: 2000, precision: 0.7503, predictive_accuracy: 0.7495, prior_entropy: 3.3219, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7461, unweighted_recall: 0.7495,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8909, kappa: 0.8783, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, weighted_recall: 0.8905, number_of_instances: 2000, precision: 0.8917, predictive_accuracy: 0.8905, prior_entropy: 3.3219, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4933, unweighted_recall: 0.8905,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7911, kappa: 0.6121, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7728, number_of_instances: 625, precision: 0.8109, predictive_accuracy: 0.7728, prior_entropy: 1.3181, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935, unweighted_recall: 0.5647,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8806, kappa: 0.8757, kb_relative_information_score: 0.879, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, weighted_recall: 0.8805, number_of_instances: 20000, precision: 0.8807, predictive_accuracy: 0.8805, prior_entropy: 4.6998, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.4986, unweighted_recall: 0.8803,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9953, kappa: 0.9906, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.499, weighted_recall: 0.9953, number_of_instances: 3196, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.9986, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1372, unweighted_recall: 0.9953,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7389, kappa: 0.4734, kb_relative_information_score: 0.4381, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3313, weighted_recall: 0.7386, number_of_instances: 67557, precision: 0.7392, predictive_accuracy: 0.7386, prior_entropy: 1.2184, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0258, unweighted_recall: 0.5815,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9273, kappa: 0.92, kb_relative_information_score: 0.9244, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9273, number_of_instances: 5500, precision: 0.9273, predictive_accuracy: 0.9273, prior_entropy: 3.4594, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.115, root_relative_squared_error: 0.4, unweighted_recall: 0.9273,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5052, kappa: -0.0127, kb_relative_information_score: -0.0253, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4873, weighted_recall: 0.504, number_of_instances: 500, precision: 0.5066, predictive_accuracy: 0.504, prior_entropy: 0.9815, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7021, root_relative_squared_error: 1.4226, unweighted_recall: 0.4936,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.934, kappa: 0.9206, kb_relative_information_score: 0.9265, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2771, weighted_recall: 0.934, number_of_instances: 10299, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 2.5759, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.3986, unweighted_recall: 0.9326,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.5203, kappa: 0.3737, kb_relative_information_score: 0.4168, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.3065, weighted_recall: 0.5198, number_of_instances: 9873, precision: 0.5209, predictive_accuracy: 0.5198, prior_entropy: 2.1934, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4383, root_relative_squared_error: 1.1196, unweighted_recall: 0.4792,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.8749, kappa: 0.4001, kb_relative_information_score: 0.2054, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2066, weighted_recall: 0.8737, number_of_instances: 45211, precision: 0.8761, predictive_accuracy: 0.8737, prior_entropy: 0.5206, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3554, root_relative_squared_error: 1.1058, unweighted_recall: 0.7039,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.7193, kappa: 0.4231, kb_relative_information_score: 0.4208, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4879, weighted_recall: 0.7204, number_of_instances: 540, precision: 0.7189, predictive_accuracy: 0.7204, prior_entropy: 0.9825, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0706, unweighted_recall: 0.7102,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9645, kappa: 0.9281, kb_relative_information_score: 0.9276, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4935, weighted_recall: 0.9645, number_of_instances: 11055, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.9906, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3424, unweighted_recall: 0.964,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.7047, kappa: 0.154, kb_relative_information_score: 0.0758, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, weighted_recall: 0.7193, number_of_instances: 748, precision: 0.695, predictive_accuracy: 0.7193, prior_entropy: 0.7916, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.514, root_relative_squared_error: 1.207, unweighted_recall: 0.5705,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.9718, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, weighted_recall: 0.9862, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9911, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368, unweighted_recall: 0.9864,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.5564, kappa: 0.4099, kb_relative_information_score: 0.4262, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2508, weighted_recall: 0.5548, number_of_instances: 6118, precision: 0.5583, predictive_accuracy: 0.5548, prior_entropy: 2.3, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3818, root_relative_squared_error: 1.0783, unweighted_recall: 0.4617,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8651, kappa: 0.8469, kb_relative_information_score: 0.8566, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8639, number_of_instances: 1080, precision: 0.8673, predictive_accuracy: 0.8639, prior_entropy: 3.1699, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5534, unweighted_recall: 0.8639,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.9046, kappa: 0.214, kb_relative_information_score: -0.1729, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9021, number_of_instances: 2534, precision: 0.9071, predictive_accuracy: 0.9021, prior_entropy: 0.3398, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3128, root_relative_squared_error: 1.2863, unweighted_recall: 0.6126,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 0.8614, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, weighted_recall: 0.9478, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.863, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5056, unweighted_recall: 0.9355,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7577, kappa: 0.5154, kb_relative_information_score: 0.5154, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.5, weighted_recall: 0.7577, number_of_instances: 2600, precision: 0.7577, predictive_accuracy: 0.7577, prior_entropy: 1, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, unweighted_recall: 0.7577,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.6543, kappa: 0.1521, kb_relative_information_score: 0.087, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4091, weighted_recall: 0.6552, number_of_instances: 583, precision: 0.6534, predictive_accuracy: 0.6552, prior_entropy: 0.8641, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5872, root_relative_squared_error: 1.2988, unweighted_recall: 0.5756,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.748, kappa: 0.7217, kb_relative_information_score: 0.7377, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, weighted_recall: 0.7495, number_of_instances: 1593, precision: 0.7472, predictive_accuracy: 0.7495, prior_entropy: 3.3218, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7461, unweighted_recall: 0.7485,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, weighted_recall: 0.9952, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7146, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.12, unweighted_recall: 0.993,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8155, kappa: 0.5881, kb_relative_information_score: 0.567, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4472, weighted_recall: 0.8152, number_of_instances: 1055, precision: 0.8158, predictive_accuracy: 0.8152, prior_entropy: 0.9223, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9092, unweighted_recall: 0.795,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.873, kappa: 0.694, kb_relative_information_score: 0.6696, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8729, number_of_instances: 5404, precision: 0.8731, predictive_accuracy: 0.8729, prior_entropy: 0.8732, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.783, unweighted_recall: 0.8476,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9334, kappa: 0.858, kb_relative_information_score: 0.853, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4676, weighted_recall: 0.9332, number_of_instances: 569, precision: 0.9338, predictive_accuracy: 0.9332, prior_entropy: 0.9526, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5345, unweighted_recall: 0.9315,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7378, kappa: 0.4717, kb_relative_information_score: 0.4704, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4964, weighted_recall: 0.7379, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7379, prior_entropy: 0.9948, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0275, unweighted_recall: 0.7357,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.8157, kappa: 0.4958, kb_relative_information_score: 0.4273, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3641, weighted_recall: 0.815, number_of_instances: 48842, precision: 0.8165, predictive_accuracy: 0.815, prior_entropy: 0.7938, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0081, unweighted_recall: 0.7498,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.9169, kappa: 0.3625, kb_relative_information_score: 0.0502, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9161, number_of_instances: 1109, precision: 0.9176, predictive_accuracy: 0.9161, prior_entropy: 0.3638, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.1445, unweighted_recall: 0.6845,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.8162, kappa: 0.28, kb_relative_information_score: 0.1217, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2616, weighted_recall: 0.8208, number_of_instances: 2109, precision: 0.8122, predictive_accuracy: 0.8208, prior_entropy: 0.6212, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.1707, unweighted_recall: 0.6333,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.7878, kappa: 0.3444, kb_relative_information_score: 0.2112, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.3266, weighted_recall: 0.7893, number_of_instances: 522, precision: 0.7864, predictive_accuracy: 0.7893, prior_entropy: 0.7318, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4612, root_relative_squared_error: 1.1424, unweighted_recall: 0.6698,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5982, f_measure: 0.7588, kappa: 0.227, kb_relative_information_score: 0.0633, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.3121, weighted_recall: 0.7588, number_of_instances: 10885, precision: 0.7588, predictive_accuracy: 0.7588, prior_entropy: 0.7087, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4911, root_relative_squared_error: 1.2432, unweighted_recall: 0.6135,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.8672, kappa: 0.2823, kb_relative_information_score: 0.0237, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8663, number_of_instances: 1563, precision: 0.8681, predictive_accuracy: 0.8663, prior_entropy: 0.4765, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.2045, unweighted_recall: 0.6431,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.8922, kappa: 0.4935, kb_relative_information_score: 0.3628, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, weighted_recall: 0.893, number_of_instances: 1458, precision: 0.8915, predictive_accuracy: 0.893, prior_entropy: 0.5353, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9943, unweighted_recall: 0.7432,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8755, kappa: 0.8617, kb_relative_information_score: 0.8692, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8756, number_of_instances: 70000, precision: 0.8755, predictive_accuracy: 0.8756, prior_entropy: 3.3198, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5259, unweighted_recall: 0.8739,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.2057, kappa: 0.0464, kb_relative_information_score: 0.1319, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2058, number_of_instances: 797, precision: 0.2186, predictive_accuracy: 0.2058, prior_entropy: 2.5803, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.174, unweighted_recall: 0.2093,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9302, kappa: 0.8982, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.3439, weighted_recall: 0.9298, number_of_instances: 841, precision: 0.9311, predictive_accuracy: 0.9298, prior_entropy: 1.7874, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.4518, unweighted_recall: 0.9194,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8148, kappa: 0.8073, kb_relative_information_score: 0.8124, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.074, weighted_recall: 0.8147, number_of_instances: 7797, precision: 0.8155, predictive_accuracy: 0.8147, prior_entropy: 4.7004, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6209, unweighted_recall: 0.8147,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8158, kappa: 0.7978, kb_relative_information_score: 0.8089, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1653, weighted_recall: 0.8162, number_of_instances: 990, precision: 0.8168, predictive_accuracy: 0.8162, prior_entropy: 3.4594, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.636, unweighted_recall: 0.8162,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9866, kappa: 0.8845, kb_relative_information_score: 0.8326, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1152, weighted_recall: 0.9865, number_of_instances: 3772, precision: 0.9868, predictive_accuracy: 0.9865, prior_entropy: 0.3324, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.485, unweighted_recall: 0.9503,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.5868, kappa: 0.475, kb_relative_information_score: 0.5125, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.3132, weighted_recall: 0.5883, number_of_instances: 736, precision: 0.5862, predictive_accuracy: 0.5883, prior_entropy: 2.2621, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4058, root_relative_squared_error: 1.0255, unweighted_recall: 0.5643,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8579, kappa: 0.8241, kb_relative_information_score: 0.8302, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2701, weighted_recall: 0.8574, number_of_instances: 6430, precision: 0.8586, predictive_accuracy: 0.8574, prior_entropy: 2.4834, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.218, root_relative_squared_error: 0.5933, unweighted_recall: 0.8338,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8918, kappa: 0.7785, kb_relative_information_score: 0.7763, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4886, weighted_recall: 0.8918, number_of_instances: 45312, precision: 0.8918, predictive_accuracy: 0.8918, prior_entropy: 0.9835, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6655, unweighted_recall: 0.8892,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7025, kappa: 0.6026, kb_relative_information_score: 0.641, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7021, number_of_instances: 846, precision: 0.7034, predictive_accuracy: 0.7021, prior_entropy: 1.9991, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8914, unweighted_recall: 0.704,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8766, kappa: 0.7269, kb_relative_information_score: 0.7166, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.453, weighted_recall: 0.8768, number_of_instances: 958, precision: 0.8764, predictive_accuracy: 0.8768, prior_entropy: 0.931, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7375, unweighted_recall: 0.8619,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.914, kappa: 0.8605, kb_relative_information_score: 0.8681, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4101, weighted_recall: 0.9138, number_of_instances: 3190, precision: 0.9145, predictive_accuracy: 0.9138, prior_entropy: 1.4802, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5297, unweighted_recall: 0.9078,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9217, kappa: 0.8363, kb_relative_information_score: 0.8319, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4776, weighted_recall: 0.9215, number_of_instances: 4601, precision: 0.922, predictive_accuracy: 0.9215, prior_entropy: 0.9674, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5732, unweighted_recall: 0.9198,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.6904, kappa: 0.3191, kb_relative_information_score: 0.2902, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, weighted_recall: 0.6901, number_of_instances: 768, precision: 0.6906, predictive_accuracy: 0.6901, prior_entropy: 0.9331, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1679, unweighted_recall: 0.6599,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.962, kappa: 0.9577, kb_relative_information_score: 0.9602, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, weighted_recall: 0.962, number_of_instances: 10992, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 3.3208, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2907, unweighted_recall: 0.9619,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.6881, kappa: 0.2685, kb_relative_information_score: 0.1931, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4202, weighted_recall: 0.684, number_of_instances: 1000, precision: 0.6933, predictive_accuracy: 0.684, prior_entropy: 0.8813, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2267, unweighted_recall: 0.6381,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.8233, kappa: 0.6427, kb_relative_information_score: 0.6401, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.494, weighted_recall: 0.8232, number_of_instances: 690, precision: 0.8236, predictive_accuracy: 0.8232, prior_entropy: 0.9912, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8461, unweighted_recall: 0.822,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9071, kappa: 0.8968, kb_relative_information_score: 0.9029, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.18, weighted_recall: 0.9071, number_of_instances: 5620, precision: 0.9072, predictive_accuracy: 0.9071, prior_entropy: 3.3218, relative_absolute_error: 0.1032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.4543, unweighted_recall: 0.9072,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.4841, kappa: 0.2023, kb_relative_information_score: 0.2632, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4308, weighted_recall: 0.4847, number_of_instances: 1473, precision: 0.4836, predictive_accuracy: 0.4847, prior_entropy: 1.539, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5795, root_relative_squared_error: 1.2486, unweighted_recall: 0.4655,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.6692, kappa: 0.6317, kb_relative_information_score: 0.6533, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, weighted_recall: 0.6685, number_of_instances: 2000, precision: 0.6707, predictive_accuracy: 0.6685, prior_entropy: 3.3219, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8583, unweighted_recall: 0.6685,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.6467, kappa: 0.6078, kb_relative_information_score: 0.6375, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.18, weighted_recall: 0.647, number_of_instances: 2000, precision: 0.6474, predictive_accuracy: 0.647, prior_entropy: 3.3219, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.8756, unweighted_recall: 0.647,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.817, kappa: 0.7967, kb_relative_information_score: 0.8086, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, weighted_recall: 0.817, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.817, prior_entropy: 3.3219, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377, unweighted_recall: 0.817,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9468, kappa: 0.8818, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4519, weighted_recall: 0.9471, number_of_instances: 699, precision: 0.9469, predictive_accuracy: 0.9471, prior_entropy: 0.9293, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4841, unweighted_recall: 0.937,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.7472, kappa: 0.7183, kb_relative_information_score: 0.7349, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, weighted_recall: 0.7465, number_of_instances: 2000, precision: 0.7485, predictive_accuracy: 0.7465, prior_entropy: 3.3219, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7506, unweighted_recall: 0.7465,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8931, kappa: 0.8811, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.18, weighted_recall: 0.893, number_of_instances: 2000, precision: 0.8935, predictive_accuracy: 0.893, prior_entropy: 3.3219, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4876, unweighted_recall: 0.893,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7914, kappa: 0.614, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7744, number_of_instances: 625, precision: 0.8096, predictive_accuracy: 0.7744, prior_entropy: 1.3181, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903, unweighted_recall: 0.5658,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8829, kappa: 0.8781, kb_relative_information_score: 0.8813, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, weighted_recall: 0.8828, number_of_instances: 20000, precision: 0.8831, predictive_accuracy: 0.8828, prior_entropy: 4.6998, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0949, root_relative_squared_error: 0.4937, unweighted_recall: 0.8826,
Sean Broestl 4 years ago
ran flow sklearn.pipeline.Pipeline(simp ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.499, weighted_recall: 0.9956, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325, unweighted_recall: 0.9956,