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Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8302, kappa: 0.5285, kb_relative_information_score: 0.392, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8287, predictive_accuracy: 0.8321, prior_entropy: 0.7938, recall: 0.8321, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.8622,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9318, kappa: 0.8549, kb_relative_information_score: 0.8492, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9328, predictive_accuracy: 0.9315, prior_entropy: 0.9526, recall: 0.9315, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.5415,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.874, kappa: 0.697, kb_relative_information_score: 0.6715, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8744, predictive_accuracy: 0.8736, prior_entropy: 0.8732, recall: 0.8736, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7807,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.8069, kappa: 0.5711, kb_relative_information_score: 0.5448, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8086, predictive_accuracy: 0.8057, prior_entropy: 0.9223, recall: 0.8057, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9323,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 0.9919, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7146, recall: 0.9951, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.1222,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7442, kappa: 0.7182, kb_relative_information_score: 0.7344, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.744, predictive_accuracy: 0.7464, prior_entropy: 3.3218, recall: 0.7464, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7507,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9635, kappa: 0.9104, kb_relative_information_score: 0.8807, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3886,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.9007, kappa: 0.1894, kb_relative_information_score: -0.2296, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9042, predictive_accuracy: 0.8974, prior_entropy: 0.3398, recall: 0.8974, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.317,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.6092, kappa: 0.4817, kb_relative_information_score: 0.4997, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6047, predictive_accuracy: 0.619, prior_entropy: 2.3, recall: 0.619, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.9455,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.9243, kappa: 0.3568, kb_relative_information_score: 0.0692, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9204, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9853,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.8364, kappa: 0.3284, kb_relative_information_score: -0.0071, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8304, predictive_accuracy: 0.8506, prior_entropy: 0.6212, recall: 0.8506, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3956, root_relative_squared_error: 1.0944,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.6701, kappa: 0.206, kb_relative_information_score: 0.1142, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6758, predictive_accuracy: 0.6655, prior_entropy: 0.8641, recall: 0.6655, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2792,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.895, kappa: 0.3294, kb_relative_information_score: 0.081, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8955, predictive_accuracy: 0.8944, prior_entropy: 0.4202, recall: 0.8944, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.1638,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9756, kappa: 0.9467, kb_relative_information_score: 0.9379, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 1.2058, recall: 0.9757, relative_absolute_error: 0.0531, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.326,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.939, kappa: 0.9288, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9393, predictive_accuracy: 0.939, prior_entropy: 2.8074, recall: 0.939, relative_absolute_error: 0.0797, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.3741,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8047, kappa: 0.6055, kb_relative_information_score: 0.6018, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8056, predictive_accuracy: 0.8043, prior_entropy: 0.9912, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.6732, kappa: 0.2222, kb_relative_information_score: 0.165, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6733, predictive_accuracy: 0.673, prior_entropy: 0.8813, recall: 0.673, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.2479,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8912, kappa: 0.7773, kb_relative_information_score: 0.775, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 0.9835, recall: 0.8912, relative_absolute_error: 0.2227, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6674,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8555, kappa: 0.8208, kb_relative_information_score: 0.8271, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8563, predictive_accuracy: 0.8547, prior_entropy: 2.4834, recall: 0.8547, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.22, root_relative_squared_error: 0.5988,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8379, kappa: 0.8222, kb_relative_information_score: 0.832, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.839, predictive_accuracy: 0.8384, prior_entropy: 3.4594, recall: 0.8384, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5963,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.8763, kappa: 0.4051, kb_relative_information_score: 0.2174, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8771, predictive_accuracy: 0.8756, prior_entropy: 0.5206, recall: 0.8756, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.0975,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5602, kappa: 0.0919, kb_relative_information_score: 0.0929, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5582, predictive_accuracy: 0.566, prior_entropy: 0.9815, recall: 0.566, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6371, root_relative_squared_error: 1.2908,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.9791, kappa: 0.793, kb_relative_information_score: 0.7074, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9789, predictive_accuracy: 0.9793, prior_entropy: 0.3029, recall: 0.9793, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.6364,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set dna
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9364, kappa: 0.8967, kb_relative_information_score: 0.9008, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.41, number_of_instances: 3186, precision: 0.9367, predictive_accuracy: 0.9363, prior_entropy: 1.4798, recall: 0.9363, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4527, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4327,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.4841, kappa: 0.1997, kb_relative_information_score: 0.257, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4825, predictive_accuracy: 0.4868, prior_entropy: 1.539, recall: 0.4868, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.1589,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9386, kappa: 0.8712, kb_relative_information_score: 0.7868, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.466,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9556, kappa: 0.9279, kb_relative_information_score: 0.9302, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9559, predictive_accuracy: 0.9555, prior_entropy: 1.4802, recall: 0.9555, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3657,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.6971, kappa: 0.5963, kb_relative_information_score: 0.6354, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6984, predictive_accuracy: 0.6974, prior_entropy: 1.9991, recall: 0.6974, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8985,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.6349, kappa: 0.5332, kb_relative_information_score: 0.5668, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6354, predictive_accuracy: 0.6345, prior_entropy: 2.2621, recall: 0.6345, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9662,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.7154, kappa: 0.1706, kb_relative_information_score: -0.0377, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.705, predictive_accuracy: 0.7393, prior_entropy: 0.7916, recall: 0.7393, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.1817,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 0.9178, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9906, recall: 0.9723, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.2892,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7703, kappa: 0.5373, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7696, predictive_accuracy: 0.771, prior_entropy: 1.2184, recall: 0.771, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.96,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7232, kappa: 0.6446, kb_relative_information_score: 0.6899, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7235, predictive_accuracy: 0.7233, prior_entropy: 2.4107, recall: 0.7233, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.8434,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8682, kappa: 0.8533, kb_relative_information_score: 0.862, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8687, predictive_accuracy: 0.868, prior_entropy: 3.3219, recall: 0.868, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5416,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7897, kappa: 0.6342, kb_relative_information_score: 0.6321, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.79, predictive_accuracy: 0.7895, prior_entropy: 1.3491, recall: 0.7895, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.8558,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7857, kappa: 0.6001, kb_relative_information_score: 0.5389, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8083, predictive_accuracy: 0.7648, prior_entropy: 1.3181, recall: 0.7648, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9091,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9439, kappa: 0.8754, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.6872, kappa: 0.6539, kb_relative_information_score: 0.6834, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6867, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8123,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.771, kappa: 0.529, kb_relative_information_score: 0.5282, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.771, predictive_accuracy: 0.7722, prior_entropy: 0.9825, recall: 0.7722, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9663,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.5218, kappa: 0.3759, kb_relative_information_score: 0.4191, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5227, predictive_accuracy: 0.521, prior_entropy: 2.1934, recall: 0.521, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.1182,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9266, kappa: 0.9192, kb_relative_information_score: 0.9236, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9267, predictive_accuracy: 0.9265, prior_entropy: 3.4594, recall: 0.9265, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.402,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8593, kappa: 0.8389, kb_relative_information_score: 0.8503, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8595, predictive_accuracy: 0.8593, prior_entropy: 2.993, recall: 0.8593, relative_absolute_error: 0.1611, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.5676,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.5022, kappa: 0.0043, kb_relative_information_score: 0.0042, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5022, predictive_accuracy: 0.5022, prior_entropy: 0.9999, recall: 0.5022, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7056, root_relative_squared_error: 1.4112,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.9121, kappa: 0.6448, kb_relative_information_score: 0.5365, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9142, predictive_accuracy: 0.9104, prior_entropy: 0.5879, recall: 0.9104, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8591,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8867, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8872, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9014, kappa: 0.8905, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9016, predictive_accuracy: 0.9014, prior_entropy: 3.3218, recall: 0.9014, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.468,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9643, kappa: 0.9604, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 3.3208, recall: 0.9643, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2815,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.8302, kappa: 0.5285, kb_relative_information_score: 0.392, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8287, predictive_accuracy: 0.8321, prior_entropy: 0.7938, recall: 0.8321, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.8622,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.6349, kappa: 0.5332, kb_relative_information_score: 0.5668, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6354, predictive_accuracy: 0.6345, prior_entropy: 2.2621, recall: 0.6345, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9662,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set banknote-authentication
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 0.9748, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9911, recall: 0.9876, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1113, root_relative_squared_error: 0.224,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.895, kappa: 0.3294, kb_relative_information_score: 0.081, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8955, predictive_accuracy: 0.8944, prior_entropy: 0.4202, recall: 0.8944, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.1638,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.6732, kappa: 0.2222, kb_relative_information_score: 0.165, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6733, predictive_accuracy: 0.673, prior_entropy: 0.8813, recall: 0.673, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.2479,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9643, kappa: 0.9604, kb_relative_information_score: 0.9627, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 3.3208, recall: 0.9643, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2815,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.4841, kappa: 0.1997, kb_relative_information_score: 0.257, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4825, predictive_accuracy: 0.4868, prior_entropy: 1.539, recall: 0.4868, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.1589,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8867, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8872, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8865, kappa: 0.43, kb_relative_information_score: 0.3817, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8833, predictive_accuracy: 0.8964, prior_entropy: 0.5353, recall: 0.8964, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9294,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7857, kappa: 0.6001, kb_relative_information_score: 0.5389, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8083, predictive_accuracy: 0.7648, prior_entropy: 1.3181, recall: 0.7648, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9091,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8232, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.4841, kappa: 0.1997, kb_relative_information_score: 0.257, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4825, predictive_accuracy: 0.4868, prior_entropy: 1.539, recall: 0.4868, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.1589,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9386, kappa: 0.8712, kb_relative_information_score: 0.7868, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.466,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7495, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8867, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8872, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9439, kappa: 0.8754, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.6872, kappa: 0.6539, kb_relative_information_score: 0.6834, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6867, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8123,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9014, kappa: 0.8905, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9016, predictive_accuracy: 0.9014, prior_entropy: 3.3218, recall: 0.9014, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.468,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8047, kappa: 0.6055, kb_relative_information_score: 0.6018, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8056, predictive_accuracy: 0.8043, prior_entropy: 0.9912, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.895, kappa: 0.3294, kb_relative_information_score: 0.081, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8955, predictive_accuracy: 0.8944, prior_entropy: 0.4202, recall: 0.8944, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.1638,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.8047, kappa: 0.6055, kb_relative_information_score: 0.6018, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8056, predictive_accuracy: 0.8043, prior_entropy: 0.9912, recall: 0.8043, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8901,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7857, kappa: 0.6001, kb_relative_information_score: 0.5389, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8083, predictive_accuracy: 0.7648, prior_entropy: 1.3181, recall: 0.7648, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9091,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8867, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8872, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9439, kappa: 0.8754, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5602, kappa: 0.0919, kb_relative_information_score: 0.0929, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5582, predictive_accuracy: 0.566, prior_entropy: 0.9815, recall: 0.566, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6371, root_relative_squared_error: 1.2908,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8815, kappa: 0.8767, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8816, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4966,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8867, kappa: 0.8739, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8872, predictive_accuracy: 0.8865, prior_entropy: 3.3219, recall: 0.8865, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.5022,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9439, kappa: 0.8754, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.944, predictive_accuracy: 0.9442, prior_entropy: 0.9293, recall: 0.9442, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.497,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.6872, kappa: 0.6539, kb_relative_information_score: 0.6834, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6867, predictive_accuracy: 0.6885, prior_entropy: 3.3219, recall: 0.6885, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.8123,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.6638, kappa: 0.6261, kb_relative_information_score: 0.6481, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6647, predictive_accuracy: 0.6635, prior_entropy: 3.3219, recall: 0.6635, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8647,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.9014, kappa: 0.8905, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9016, predictive_accuracy: 0.9014, prior_entropy: 3.3218, recall: 0.9014, relative_absolute_error: 0.1095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.468,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6888, kappa: 0.3181, kb_relative_information_score: 0.2842, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6903, predictive_accuracy: 0.6875, prior_entropy: 0.9331, recall: 0.6875, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1728,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9959, kappa: 0.9918, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.9986, recall: 0.9959, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.1277,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9556, kappa: 0.9279, kb_relative_information_score: 0.9302, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9559, predictive_accuracy: 0.9555, prior_entropy: 1.4802, recall: 0.9555, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3657,
Jan van Rijn 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... ee.DecisionTreeClassifier))(1) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.9831, kappa: 0.853, kb_relative_information_score: 0.7899, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9831, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.5433,