OpenML

Saurav Das 1 year ago
ran flow sklearn.pipeline.Pipeline(Prep ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7223, kappa: 0.321, kb_relative_information_score: -0.3187, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4202, weighted_recall: 0.733, number_of_instances: 1000, precision: 0.7188, predictive_accuracy: 0.733, prior_entropy: 0.8813, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0822, unweighted_recall: 0.6502,

Saurav Das 1 year ago
ran flow sklearn.pipeline.Pipeline(Prep ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.724, kappa: 0.3429, kb_relative_information_score: 0.2259, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4202, weighted_recall: 0.724, number_of_instances: 1000, precision: 0.724, predictive_accuracy: 0.724, prior_entropy: 0.8813, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.9629, unweighted_recall: 0.6714,

Saurav Das 1 year ago
ran flow sklearn.pipeline.Pipeline(Prep ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.7207, kappa: 0.3163, kb_relative_information_score: -0.3196, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4202, weighted_recall: 0.732, number_of_instances: 1000, precision: 0.7172, predictive_accuracy: 0.732, prior_entropy: 0.8813, relative_absolute_error: 1.1803, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0827, unweighted_recall: 0.6476,

Saurav Das 1 year ago
ran flow sklearn.pipeline.Pipeline(Prep ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.7185, kappa: 0.3122, kb_relative_information_score: -0.3196, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4202, weighted_recall: 0.729, number_of_instances: 1000, precision: 0.7148, predictive_accuracy: 0.729, prior_entropy: 0.8813, relative_absolute_error: 1.1803, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0827, unweighted_recall: 0.6464,

Saurav Das 1 year ago
ran flow sklearn.pipeline.Pipeline(Prep ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.7306, kappa: 0.3577, kb_relative_information_score: 0.2299, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4202, weighted_recall: 0.731, number_of_instances: 1000, precision: 0.7302, predictive_accuracy: 0.731, prior_entropy: 0.8813, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9602, unweighted_recall: 0.6783,

Saurav Das 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(23) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8799, kappa: 0.7335, kb_relative_information_score: 0.5972, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8815, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6266, unweighted_recall: 0.8567,

Saurav Das 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(23) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8786, kappa: 0.7306, kb_relative_information_score: 0.5968, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8806, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8806, prior_entropy: 0.9355, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6275, unweighted_recall: 0.8551,

Prabhant Singh 1 year ago
ran flow tensorflow.keras.engine.sequential.Sequential.ac472757(1) on task Supervised Classification on data set MD_MIX_Mini_Copy

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0012, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.0028, weighted_recall: 0.0013, number_of_instances: 9319, predictive_accuracy: 0.0013, prior_entropy: 9.4635, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0376, root_mean_squared_error: 0.0376, root_relative_squared_error: 1, unweighted_recall: 0.0014,

Tobias Oberkofler 1 year ago
ran flow torch.nn.modules.container.Sequential.8502ce20bbbe1ad9(1) on task Supervised Regression on data set kin8nm

0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.6156, mean_prior_absolute_error: 0.2155, number_of_instances: 8192, relative_absolute_error: 2.8562, root_mean_prior_squared_error: 0.2636, root_mean_squared_error: 0.6791, root_relative_squared_error: 2.5763,

Tobias Oberkofler 1 year ago
ran flow torch.nn.modules.container.Sequential.2e1c4540e5937473(1) on task Supervised Regression on data set cholesterol

0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.6943, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2132, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.8036, root_relative_squared_error: 1.2343,

Tobias Oberkofler 1 year ago
ran flow torch.nn.modules.container.Sequential.d72a335796574729(1) on task Supervised Regression on data set cholesterol

0 likes - 0 downloads - 0 reach - mean_absolute_error: 47.5222, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.2088, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 63.4265, root_relative_squared_error: 1.227,

Zachary Painter 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(22) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8805, kappa: 0.7349, kb_relative_information_score: 0.598, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, weighted_recall: 0.8825, number_of_instances: 19020, precision: 0.8823, predictive_accuracy: 0.8825, prior_entropy: 0.9355, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6259, unweighted_recall: 0.8571,

Zachary Painter 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(22) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8785, kappa: 0.7303, kb_relative_information_score: 0.5963, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, weighted_recall: 0.8804, number_of_instances: 19020, precision: 0.8802, predictive_accuracy: 0.8804, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6275, unweighted_recall: 0.8549,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(2) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... sses.DecisionTreeRegressor)(1) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set liver-disorders

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 2.623, number_of_instances: 345, root_mean_prior_squared_error: 3.333,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set kin8nm

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.2155, number_of_instances: 8192, root_mean_prior_squared_error: 0.2636,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set kin8nm

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.2155, number_of_instances: 8192, root_mean_prior_squared_error: 0.2636,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set kin8nm

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.2155, number_of_instances: 8192, root_mean_prior_squared_error: 0.2636,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(colu ... rest.RandomForestRegressor)(1) on task Supervised Regression on data set cholesterol

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 39.3139, number_of_instances: 303, root_mean_prior_squared_error: 51.6914,

Lei Zhang 1 year ago
ran flow mlr.classif.svm(6) on task Supervised Classification on data set pc3

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.8503, kappa: 0.0142, kb_relative_information_score: -0.0714, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.1842, weighted_recall: 0.8951, number_of_instances: 1563, precision: 0.832, predictive_accuracy: 0.8951, prior_entropy: 0.4765, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9699, usercpu_time_millis: 14.627, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 14.443, unweighted_recall: 0.5041,

Lei Zhang 1 year ago
ran flow mlr.classif.ranger(24) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9169, kappa: 0.8316, kb_relative_information_score: 0.7357, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4935, weighted_recall: 0.917, number_of_instances: 11055, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 0.9906, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.492, usercpu_time_millis: 18.43, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 17.287, unweighted_recall: 0.9155,

Lei Zhang 1 year ago
ran flow mlr.classif.ranger(16) on task Supervised Classification on data set madelon

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.6173, kappa: 0.2346, kb_relative_information_score: 0.0349, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, weighted_recall: 0.6173, number_of_instances: 2600, precision: 0.6174, predictive_accuracy: 0.6173, prior_entropy: 1, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9769, usercpu_time_millis: 17.259, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 16.325, unweighted_recall: 0.6173,

Lei Zhang 1 year ago
ran flow mlr.classif.ranger(24) on task Supervised Classification on data set PhishingWebsites

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9169, kappa: 0.8316, kb_relative_information_score: 0.7357, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4935, weighted_recall: 0.917, number_of_instances: 11055, precision: 0.9169, predictive_accuracy: 0.917, prior_entropy: 0.9906, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.492, usercpu_time_millis: 19.053, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 17.786, unweighted_recall: 0.9155,

Lei Zhang 1 year ago
ran flow mlr.classif.ranger(7) on task Supervised Classification on data set Click_prediction_small

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, average_cost: 16.7615, f_measure: 0.757, kappa: 0.0077, kb_relative_information_score: -0.051, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, weighted_recall: 0.8322, number_of_instances: 39948, precision: 0.8244, predictive_accuracy: 0.8322, prior_entropy: 0.6541, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, total_cost: 669590, usercpu_time_millis: 290.102, usercpu_time_millis_testing: 11.36, usercpu_time_millis_training: 278.742, unweighted_recall: 0.5023,

Lei Zhang 1 year ago
ran flow mlr.classif.glmnet(5) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7389, kappa: 0.3529, kb_relative_information_score: 0.2362, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7489, number_of_instances: 5404, precision: 0.7358, predictive_accuracy: 0.7489, prior_entropy: 0.8732, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8727, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.179, unweighted_recall: 0.6651,

Lei Zhang 1 year ago
ran flow mlr.classif.xgboost(6) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.7675, kappa: 0.4793, kb_relative_information_score: 0.2865, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.456, weighted_recall: 0.7777, number_of_instances: 19020, precision: 0.7746, predictive_accuracy: 0.7777, prior_entropy: 0.9355, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8366, usercpu_time_millis: 294.558, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 293.975, unweighted_recall: 0.7245,

Lei Zhang 1 year ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set wdbc

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 0.812, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4676, weighted_recall: 0.949, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.9526, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4056, usercpu_time_millis: 14.199, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 13.684, unweighted_recall: 0.946,

Lei Zhang 1 year ago
ran flow mlr.classif.svm(7) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8636, kappa: 0.6966, kb_relative_information_score: 0.58, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.456, weighted_recall: 0.8666, number_of_instances: 19020, precision: 0.8666, predictive_accuracy: 0.8666, prior_entropy: 0.9355, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6636, usercpu_time_millis: 1338.298, usercpu_time_millis_testing: 18.236, usercpu_time_millis_training: 1320.062, unweighted_recall: 0.8359,

Lei Zhang 1 year ago
ran flow mlr.classif.xgboost(4) on task Supervised Classification on data set wilt

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, kb_relative_information_score: -0.4761, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.9709, usercpu_time_millis: 1110.21, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 1109.636, unweighted_recall: 0.5,

Lei Zhang 1 year ago
ran flow mlr.classif.glmnet(4) on task Supervised Classification on data set haberman

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0044, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, weighted_recall: 0.73, number_of_instances: 100, predictive_accuracy: 0.73, prior_entropy: 0.8415, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.026, unweighted_recall: 0.5,

Lei Zhang 1 year ago
ran flow mlr.classif.rpart(31) on task Supervised Classification on data set heart-statlog

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 0.2988, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, weighted_recall: 0.7416, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 1.0034, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, usercpu_time_millis: 0.016, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.012, unweighted_recall: 0.7401,

Lei Zhang 1 year ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 0.9406, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.499, weighted_recall: 0.9928, number_of_instances: 3196, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.9986, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1912, usercpu_time_millis: 11.621, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 10.954, unweighted_recall: 0.9928,

Lei Zhang 1 year ago
ran flow mlr.classif.glmnet(11) on task Supervised Classification on data set kr-vs-kp

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: 0, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, weighted_recall: 0.5222, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 0.532, unweighted_recall: 0.5,

Lei Zhang 1 year ago
ran flow mlr.classif.rpart(29) on task Supervised Classification on data set haberman

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0044, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.3925, weighted_recall: 0.73, number_of_instances: 100, predictive_accuracy: 0.73, prior_entropy: 0.8415, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.444, root_mean_squared_error: 0.444, root_relative_squared_error: 1.0001, usercpu_time_millis: 0.013, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.01, unweighted_recall: 0.5,

Lei Zhang 1 year ago
ran flow mlr.classif.svm(6) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.912, kappa: 0.0804, kb_relative_information_score: -0.0913, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, precision: 0.9119, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.954, usercpu_time_millis: 31.937, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 31.381, unweighted_recall: 0.5233,

Lei Zhang 1 year ago
ran flow mlr.classif.svm(6) on task Supervised Classification on data set ozone-level-8hr

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.912, kappa: 0.0804, kb_relative_information_score: -0.0913, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.1186, weighted_recall: 0.9369, number_of_instances: 2534, precision: 0.9119, predictive_accuracy: 0.9369, prior_entropy: 0.3398, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.2432, root_mean_squared_error: 0.232, root_relative_squared_error: 0.954, usercpu_time_millis: 31.937, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 31.381, unweighted_recall: 0.5233,

Lei Zhang 1 year ago
ran flow mlr.classif.rpart.preproc(21) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4938, weighted_recall: 0.988, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.9909, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.306, unweighted_recall: 0.9892,

Lei Zhang 1 year ago
ran flow mlr.classif.rpart.preproc(21) on task Supervised Classification on data set irish

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4938, weighted_recall: 0.988, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.9909, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2183, usercpu_time_millis: 0.813, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.791, unweighted_recall: 0.9892,

Lei Zhang 1 year ago
ran flow mlr.classif.randomForest(53) on task Supervised Classification on data set credit-g

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.745, kappa: 0.3683, kb_relative_information_score: 0.4025, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4202, weighted_recall: 0.766, number_of_instances: 1000, precision: 0.7542, predictive_accuracy: 0.766, prior_entropy: 0.8813, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0556, usercpu_time_millis: 15.274, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 15.079, unweighted_recall: 0.6624,

Lei Zhang 1 year ago
ran flow mlr.classif.randomForest(54) on task Supervised Classification on data set iris

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.927, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.309, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.26, unweighted_recall: 0.96,

Lei Zhang 1 year ago
ran flow mlr.classif.randomForest(54) on task Supervised Classification on data set iris

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.927, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.309, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.251, unweighted_recall: 0.96,

Lei Zhang 1 year ago
ran flow mlr.classif.randomForest(53) on task Supervised Classification on data set iris

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3464, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.493, unweighted_recall: 0.96,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(1) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set cleveland

0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 1.0146, number_of_instances: 303, root_mean_prior_squared_error: 1.2265,

Sharath Kumar Reddy Alijarla 1 year ago
ran flow sklearn.pipeline.Pipeline(pipe ... ession.KNeighborsRegressor)(2) on task Supervised Regression on data set titanic_2