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joe zhou
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joe's runs

joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.792, kappa: 0.6144, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8107, predictive_accuracy: 0.7744, prior_entropy: 1.3181, recall: 0.7744, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8812, kappa: 0.8763, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8813, predictive_accuracy: 0.8811, prior_entropy: 4.6998, recall: 0.8811, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4974,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) 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, number_of_instances: 3196, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9986, recall: 0.9956, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.1325,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set Devnagari-Script
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.5989, kappa: 0.5903, kb_relative_information_score: 0.5969, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0425, number_of_instances: 92000, precision: 0.5987, predictive_accuracy: 0.5993, prior_entropy: 5.5236, recall: 0.5993, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.1458, root_mean_squared_error: 0.132, root_relative_squared_error: 0.9052,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5033, kappa: 0.0064, kb_relative_information_score: 0.0063, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5033, predictive_accuracy: 0.5032, prior_entropy: 0.9999, recall: 0.5032, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4097,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set jungle_chess_2pcs_raw_endgame_complete
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7901, kappa: 0.6348, kb_relative_information_score: 0.6328, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7903, predictive_accuracy: 0.7899, prior_entropy: 1.3491, recall: 0.7899, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8551,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set Fashion-MNIST
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.7991, kappa: 0.7764, kb_relative_information_score: 0.7896, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7994, predictive_accuracy: 0.7988, prior_entropy: 3.3219, recall: 0.7988, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6687,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8662, kappa: 0.8511, kb_relative_information_score: 0.8599, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.867, predictive_accuracy: 0.866, prior_entropy: 3.3219, recall: 0.866, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5457,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9209, kappa: 0.9076, kb_relative_information_score: 0.9138, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9212, predictive_accuracy: 0.9208, prior_entropy: 2.8074, recall: 0.9208, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4276,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9814, kappa: 0.9595, kb_relative_information_score: 0.9519, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9814, predictive_accuracy: 0.9815, prior_entropy: 1.2058, recall: 0.9815, relative_absolute_error: 0.0404, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2846,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.9785, kappa: 0.788, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9784, predictive_accuracy: 0.9787, prior_entropy: 0.3029, recall: 0.9787, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6459,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.8963, kappa: 0.3346, kb_relative_information_score: 0.0971, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8963, predictive_accuracy: 0.8963, prior_entropy: 0.4202, recall: 0.8963, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.322, root_relative_squared_error: 1.1536,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7134, kappa: 0.6324, kb_relative_information_score: 0.6784, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.7129, predictive_accuracy: 0.7141, prior_entropy: 2.4107, recall: 0.7141, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.8574,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8722, kappa: 0.8538, kb_relative_information_score: 0.8649, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8724, predictive_accuracy: 0.8722, prior_entropy: 2.993, recall: 0.8722, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5408,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.7393, kappa: 0.4739, kb_relative_information_score: 0.4392, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7395, predictive_accuracy: 0.7391, prior_entropy: 1.2184, recall: 0.7391, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.0248,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9258, kappa: 0.9182, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.926, predictive_accuracy: 0.9256, prior_entropy: 3.4594, recall: 0.9256, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.4045,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.5043, kappa: -0.0167, kb_relative_information_score: -0.0295, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5047, predictive_accuracy: 0.504, prior_entropy: 0.9815, recall: 0.504, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4269,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.936, kappa: 0.923, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 2.5759, recall: 0.936, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3924,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.5148, kappa: 0.3665, kb_relative_information_score: 0.4098, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5156, predictive_accuracy: 0.514, prior_entropy: 2.1934, recall: 0.514, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1263,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.8748, kappa: 0.3996, kb_relative_information_score: 0.2054, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.876, predictive_accuracy: 0.8737, prior_entropy: 0.5206, recall: 0.8737, relative_absolute_error: 0.6114, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3554, root_relative_squared_error: 1.1058,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7301, kappa: 0.4447, kb_relative_information_score: 0.4438, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7298, predictive_accuracy: 0.7315, prior_entropy: 0.9825, recall: 0.7315, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0491,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set PhishingWebsites
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9637, kappa: 0.9265, kb_relative_information_score: 0.9259, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.9906, recall: 0.9637, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3474,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.7062, kappa: 0.1611, kb_relative_information_score: 0.0669, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6973, predictive_accuracy: 0.7193, prior_entropy: 0.7916, recall: 0.7193, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.517, root_relative_squared_error: 1.2141,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) 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,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.5586, kappa: 0.4128, kb_relative_information_score: 0.4277, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5613, predictive_accuracy: 0.5564, prior_entropy: 2.3, recall: 0.5564, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3811, root_relative_squared_error: 1.0764,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8603, kappa: 0.8417, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8634, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5627,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set ozone-level-8hr
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5988, f_measure: 0.901, kappa: 0.1868, kb_relative_information_score: -0.2201, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1186, number_of_instances: 2534, precision: 0.9039, predictive_accuracy: 0.8982, prior_entropy: 0.3398, recall: 0.8982, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.3191, root_relative_squared_error: 1.3119,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9486, kappa: 0.8739, kb_relative_information_score: 0.8636, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set madelon
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 0.5285, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9711,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set ilpd
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.6715, kappa: 0.1942, kb_relative_information_score: 0.1324, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6706, predictive_accuracy: 0.6724, prior_entropy: 0.8641, recall: 0.6724, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.266,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7505, kappa: 0.7259, kb_relative_information_score: 0.7416, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7503, predictive_accuracy: 0.7533, prior_entropy: 3.3218, recall: 0.7533, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.7404,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set wall-robot-navigation
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7146, recall: 0.9947, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1267,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.8157, kappa: 0.5918, kb_relative_information_score: 0.5648, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8183, predictive_accuracy: 0.8142, prior_entropy: 0.9223, recall: 0.8142, relative_absolute_error: 0.4154, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.431, root_relative_squared_error: 0.9116,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set phoneme
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8732, kappa: 0.6946, kb_relative_information_score: 0.67, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8733, predictive_accuracy: 0.8731, prior_entropy: 0.8732, recall: 0.8731, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7824,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set wdbc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.9316, kappa: 0.8541, kb_relative_information_score: 0.8492, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9319, 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,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7316, kappa: 0.4593, kb_relative_information_score: 0.4575, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7316, predictive_accuracy: 0.7315, prior_entropy: 0.9948, recall: 0.7315, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.04,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.8162, kappa: 0.4972, kb_relative_information_score: 0.4286, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.817, predictive_accuracy: 0.8154, prior_entropy: 0.7938, recall: 0.8154, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0069,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set pc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.91, kappa: 0.2906, kb_relative_information_score: 0.016, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9084, predictive_accuracy: 0.9116, prior_entropy: 0.3638, recall: 0.9116, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2978, root_relative_squared_error: 1.1716,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kc1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.8189, kappa: 0.2886, kb_relative_information_score: 0.1357, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8146, predictive_accuracy: 0.8241, prior_entropy: 0.6212, recall: 0.8241, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.42, root_relative_squared_error: 1.1618,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.7847, kappa: 0.3313, kb_relative_information_score: 0.2035, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7823, predictive_accuracy: 0.7874, prior_entropy: 0.7318, recall: 0.7874, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4633, root_relative_squared_error: 1.1478,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set jm1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.7583, kappa: 0.2244, kb_relative_information_score: 0.0645, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.758, predictive_accuracy: 0.7586, prior_entropy: 0.7087, recall: 0.7586, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.2424,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.8607, kappa: 0.2649, kb_relative_information_score: -0.0455, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8652, predictive_accuracy: 0.8567, prior_entropy: 0.4765, recall: 0.8567, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.378, root_relative_squared_error: 1.2471,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.8887, kappa: 0.4618, kb_relative_information_score: 0.3628, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8857, predictive_accuracy: 0.893, prior_entropy: 0.5353, recall: 0.893, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.9943,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mnist_784
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8757, kappa: 0.8618, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8757, predictive_accuracy: 0.8757, prior_entropy: 3.3198, recall: 0.8757, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.5257,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.2041, kappa: 0.0449, kb_relative_information_score: 0.1305, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2168, predictive_accuracy: 0.2045, prior_entropy: 2.5803, recall: 0.2045, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4379, root_relative_squared_error: 1.1757,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9336, kappa: 0.9034, kb_relative_information_score: 0.9086, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9339, predictive_accuracy: 0.9334, prior_entropy: 1.7874, recall: 0.9334, relative_absolute_error: 0.0968, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4401,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8135, kappa: 0.8059, kb_relative_information_score: 0.8111, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8142, predictive_accuracy: 0.8134, prior_entropy: 4.7004, recall: 0.8134, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.623,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8263, kappa: 0.8089, kb_relative_information_score: 0.8194, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8276, predictive_accuracy: 0.8263, prior_entropy: 3.4594, recall: 0.8263, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.6182,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9868, kappa: 0.8866, kb_relative_information_score: 0.8359, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9867, prior_entropy: 0.3324, recall: 0.9867, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.4802,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.5922, kappa: 0.4801, kb_relative_information_score: 0.5177, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5925, predictive_accuracy: 0.5924, prior_entropy: 2.2621, recall: 0.5924, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0204,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8565, kappa: 0.8221, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8574, predictive_accuracy: 0.8558, prior_entropy: 2.4834, recall: 0.8558, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.5965,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.891, kappa: 0.777, kb_relative_information_score: 0.7747, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.891, predictive_accuracy: 0.891, prior_entropy: 0.9835, recall: 0.891, relative_absolute_error: 0.223, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6679,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7109, kappa: 0.6152, kb_relative_information_score: 0.6525, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7107, predictive_accuracy: 0.7116, prior_entropy: 1.9991, recall: 0.7116, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.8772,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.8782, kappa: 0.7296, kb_relative_information_score: 0.7214, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.878, predictive_accuracy: 0.8789, prior_entropy: 0.931, recall: 0.8789, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7312,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.9127, kappa: 0.8583, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.913, predictive_accuracy: 0.9125, prior_entropy: 1.4802, recall: 0.9125, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5335,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9206, kappa: 0.834, kb_relative_information_score: 0.8296, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9209, predictive_accuracy: 0.9205, prior_entropy: 0.9674, recall: 0.9205, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5776,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7171, kappa: 0.3765, kb_relative_information_score: 0.3528, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7167, predictive_accuracy: 0.7174, prior_entropy: 0.9331, recall: 0.7174, relative_absolute_error: 0.6217, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.1152,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9638, kappa: 0.9598, kb_relative_information_score: 0.9621, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 3.3208, recall: 0.9638, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2837,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6911, kappa: 0.2761, kb_relative_information_score: 0.2007, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6966, predictive_accuracy: 0.687, prior_entropy: 0.8813, recall: 0.687, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5595, root_relative_squared_error: 1.2209,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.8133, kappa: 0.6226, kb_relative_information_score: 0.6195, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8138, predictive_accuracy: 0.813, prior_entropy: 0.9912, recall: 0.813, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8701,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9043, kappa: 0.8936, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9045, predictive_accuracy: 0.9043, prior_entropy: 3.3218, recall: 0.9043, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4612,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.474, kappa: 0.1874, kb_relative_information_score: 0.2503, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4739, predictive_accuracy: 0.4745, prior_entropy: 1.539, recall: 0.4745, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.2607,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.6695, kappa: 0.6294, kb_relative_information_score: 0.6512, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6729, predictive_accuracy: 0.6665, prior_entropy: 3.3219, recall: 0.6665, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.8609,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.652, kappa: 0.6133, kb_relative_information_score: 0.6425, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6528, predictive_accuracy: 0.652, prior_entropy: 3.3219, recall: 0.652, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.261, root_relative_squared_error: 0.8699,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8244, kappa: 0.805, kb_relative_information_score: 0.8165, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.825, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9441, kappa: 0.8759, 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,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7526, kappa: 0.7244, kb_relative_information_score: 0.7407, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7535, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.2756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.7424,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8856, kappa: 0.8728, kb_relative_information_score: 0.8803, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8861, predictive_accuracy: 0.8855, prior_entropy: 3.3219, recall: 0.8855, relative_absolute_error: 0.1272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.5044,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7938, kappa: 0.6191, kb_relative_information_score: 0.5584, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8109, predictive_accuracy: 0.7776, prior_entropy: 1.3181, recall: 0.7776, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.884,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8809, kappa: 0.8761, kb_relative_information_score: 0.8793, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8811, predictive_accuracy: 0.8809, prior_entropy: 4.6998, recall: 0.8809, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.4978,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9962, kappa: 0.9925, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.9986, recall: 0.9962, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1227,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8158, kappa: 0.7956, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9411, kappa: 0.8693, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.9293, recall: 0.9413, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.5096,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7449, kappa: 0.7156, kb_relative_information_score: 0.7323, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.746, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.7542,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8951, kappa: 0.8833, kb_relative_information_score: 0.8902, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8954, predictive_accuracy: 0.895, prior_entropy: 3.3219, recall: 0.895, relative_absolute_error: 0.1167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.7896, kappa: 0.6113, kb_relative_information_score: 0.5511, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8073, predictive_accuracy: 0.7728, prior_entropy: 1.3181, recall: 0.7728, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.8935,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.8816, kappa: 0.8768, kb_relative_information_score: 0.88, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8819, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.4965,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) 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,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) 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: 0.8817, 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,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9966, kappa: 0.9931, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9966, predictive_accuracy: 0.9966, prior_entropy: 0.9986, recall: 0.9966, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.1174,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.7919, kappa: 0.6144, kb_relative_information_score: 0.5535, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8104, predictive_accuracy: 0.7744, prior_entropy: 1.3181, recall: 0.7744, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8903,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.882, kappa: 0.8772, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8822, predictive_accuracy: 0.8819, prior_entropy: 4.6998, recall: 0.8819, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.4956,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(2) 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,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set Devnagari-Script
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.6001, kappa: 0.5915, kb_relative_information_score: 0.5981, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0425, number_of_instances: 92000, precision: 0.6002, predictive_accuracy: 0.6004, prior_entropy: 5.5236, recall: 0.6004, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.1458, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.9039,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set numerai28.6
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.5023, kappa: 0.0045, kb_relative_information_score: 0.0044, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4999, number_of_instances: 96320, precision: 0.5023, predictive_accuracy: 0.5023, prior_entropy: 0.9999, recall: 0.5023, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7055, root_relative_squared_error: 1.411,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.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: 0.8232, f_measure: 0.7902, kappa: 0.6349, kb_relative_information_score: 0.6329, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.3832, number_of_instances: 44819, precision: 0.7905, predictive_accuracy: 0.7899, prior_entropy: 1.3491, recall: 0.7899, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4377, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.8551,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set Fashion-MNIST
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7991, kappa: 0.7767, kb_relative_information_score: 0.7898, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7992, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6683,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8671, kappa: 0.8522, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8679, predictive_accuracy: 0.867, prior_entropy: 3.3219, recall: 0.867, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5437,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9227, kappa: 0.9096, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9234, predictive_accuracy: 0.9225, prior_entropy: 2.8074, recall: 0.9225, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4229,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9826, kappa: 0.962, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 1.2058, recall: 0.9826, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2756,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.9788, kappa: 0.7904, kb_relative_information_score: 0.7016, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9786, predictive_accuracy: 0.9789, prior_entropy: 0.3029, recall: 0.9789, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6427,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.902, kappa: 0.3491, kb_relative_information_score: 0.1778, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.899, predictive_accuracy: 0.9056, prior_entropy: 0.4202, recall: 0.9056, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3073, root_relative_squared_error: 1.1009,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7169, kappa: 0.6351, kb_relative_information_score: 0.6796, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.2223, number_of_instances: 1941, precision: 0.718, predictive_accuracy: 0.7161, prior_entropy: 2.4107, recall: 0.7161, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3334, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8543,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8509, kappa: 0.8294, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8511, predictive_accuracy: 0.8509, prior_entropy: 2.993, recall: 0.8509, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.5841,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7399, kappa: 0.4756, kb_relative_information_score: 0.44, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7403, predictive_accuracy: 0.7396, prior_entropy: 1.2184, recall: 0.7396, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.0238,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9279, kappa: 0.9206, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9281, predictive_accuracy: 0.9278, prior_entropy: 3.4594, recall: 0.9278, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.3985,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.5018, kappa: -0.0228, kb_relative_information_score: -0.0315, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5017, predictive_accuracy: 0.502, prior_entropy: 0.9815, recall: 0.502, relative_absolute_error: 1.02, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7039, root_relative_squared_error: 1.4262,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set har
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9337, kappa: 0.9202, kb_relative_information_score: 0.9262, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 2.5759, recall: 0.9337, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3994,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.5112, kappa: 0.3618, kb_relative_information_score: 0.4059, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.5121, predictive_accuracy: 0.5104, prior_entropy: 2.1934, recall: 0.5104, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.1305,
joe zhou 5 years ago
ran flow sklearn.pipeline.Pipeline(impu ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set bank-marketing
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7052, f_measure: 0.8758, kappa: 0.4038, kb_relative_information_score: 0.2124, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.2066, number_of_instances: 45211, precision: 0.8769, predictive_accuracy: 0.8748, prior_entropy: 0.5206, recall: 0.8748, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.3214, root_mean_squared_error: 0.3539, root_relative_squared_error: 1.101,