OpenML
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Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Test Test 7 days ago
ran flow sklearn.gaussian_process._gpc.GaussianProcessClassifier(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.7362, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.4205, unweighted_recall: 0.9667,
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Jan van Rijn 7 days ago
ran flow weka.SMO(1) on task Learning Curve on data set anneal
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
Continuous Integration 4 days ago
ran flow TESTbd76c06c14sklearn.linear_m ... logistic.LogisticRegression(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7653, kappa: 0.4855, kb_relative_information_score: 0.3397, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7708, number_of_instances: 253, precision: 0.7665, predictive_accuracy: 0.7708, prior_entropy: 0.9463, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8185, unweighted_recall: 0.7337,
Continuous Integration 4 days ago
ran flow TEST7e73c96140sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6945, kappa: 0.3378, kb_relative_information_score: 0.278, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6957, number_of_instances: 253, precision: 0.6936, predictive_accuracy: 0.6957, prior_entropy: 0.9463, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.9208, unweighted_recall: 0.6677,
Test Test 4 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7736, kappa: 0.4956, kb_relative_information_score: 0.3109, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7773, number_of_instances: 768, precision: 0.773, predictive_accuracy: 0.7773, prior_entropy: 0.9331, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359, unweighted_recall: 0.7407,
Test Test 4 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.7588, kappa: 0.4728, kb_relative_information_score: 0.3121, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7628, number_of_instances: 253, precision: 0.7585, predictive_accuracy: 0.7628, prior_entropy: 0.9463, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8473, unweighted_recall: 0.7298,
Test Test 4 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Test Test 4 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.8611, kappa: 0.8541, kb_relative_information_score: 0.6463, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.1212, weighted_recall: 0.868, number_of_instances: 500, precision: 0.8722, predictive_accuracy: 0.868, prior_entropy: 3.6489, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.6617, unweighted_recall: 0.7686,
Test Test 4 days ago
ran flow sklearn.pipeline.Pipeline(tran ... est.RandomForestClassifier)(1) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, kappa: 0.8594, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.141, weighted_recall: 0.9426, number_of_instances: 296, predictive_accuracy: 0.9426, prior_entropy: 1.309, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.2709, root_mean_squared_error: 0.1124, root_relative_squared_error: 0.4148,
Test Test 4 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, f_measure: 0.8264, kappa: 0.4444, kb_relative_information_score: 0.2434, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.3266, weighted_recall: 0.8352, number_of_instances: 522, precision: 0.8231, predictive_accuracy: 0.8352, prior_entropy: 0.7318, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.8629, unweighted_recall: 0.7022,
Continuous Integration 4 days ago
ran flow TEST5b8272e907sklearn.model_se ... est.RandomForestClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7044, kappa: 0.356, kb_relative_information_score: 0.3108, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7075, number_of_instances: 253, precision: 0.7028, predictive_accuracy: 0.7075, prior_entropy: 0.9463, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8952, unweighted_recall: 0.6747,
Continuous Integration 4 days ago
ran flow TESTe6e55e98e5sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 4 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(3) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7507, kappa: 0.4607, kb_relative_information_score: 0.3115, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4589, weighted_recall: 0.751, number_of_instances: 253, precision: 0.7504, predictive_accuracy: 0.751, prior_entropy: 0.9463, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8423, unweighted_recall: 0.7298,
Test Test 4 days ago
ran flow sklearn.tree._classes.DecisionTreeClassifier(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6846, kb_relative_information_score: 0.6832, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4948, weighted_recall: 0.844, number_of_instances: 14980, precision: 0.8439, predictive_accuracy: 0.844, prior_entropy: 0.9924, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7941, unweighted_recall: 0.8422,
Test Test 4 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8898, kappa: 0.7802, kb_relative_information_score: 0.6172, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.894, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6159, unweighted_recall: 0.8916,
Test Test 4 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8898, kappa: 0.7802, kb_relative_information_score: 0.6172, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.894, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6159, unweighted_recall: 0.8916,
Test Test 4 days ago
ran flow sklearn.pipeline.Pipeline(Prep ... est.RandomForestClassifier)(1) on task Supervised Classification on data set credit-a
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8898, kappa: 0.7802, kb_relative_information_score: 0.6549, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4978, weighted_recall: 0.8899, number_of_instances: 227, precision: 0.894, predictive_accuracy: 0.8899, prior_entropy: 1.0024, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6005, unweighted_recall: 0.8916,
Test Test 4 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7188, kappa: 0.3729, kb_relative_information_score: 0.2569, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, weighted_recall: 0.724, number_of_instances: 768, precision: 0.717, predictive_accuracy: 0.724, prior_entropy: 0.9331, relative_absolute_error: 0.7317, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9337, unweighted_recall: 0.6807,
Test Test 24 days ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7531, kappa: 0.463, kb_relative_information_score: 0.31, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4589, weighted_recall: 0.7549, number_of_instances: 253, precision: 0.752, predictive_accuracy: 0.7549, prior_entropy: 0.9463, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8452, unweighted_recall: 0.7283,
Test Test 24 days ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Continuous Integration 25 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9545, kappa: 0.9085, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9545, number_of_instances: 1054, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.9969, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4277, unweighted_recall: 0.9544,
Continuous Integration 25 days ago
ran flow sklearn.pipeline.Pipeline(colu ... c=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, kappa: 0.7536, kb_relative_information_score: 0.6715, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3857, weighted_recall: 0.8641, number_of_instances: 206, predictive_accuracy: 0.8641, prior_entropy: 1.3777, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6805, unweighted_recall: 0.6416,
Continuous Integration 25 days ago
ran flow TEST9746aa6bacsklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 25 days ago
ran flow TEST4d8594293fsklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 25 days ago
ran flow TEST1088f23694sklearn.pipeline ... earn.dummy.DummyClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0048, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4589, weighted_recall: 0.6364, number_of_instances: 253, predictive_accuracy: 0.6364, prior_entropy: 0.9463, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4813, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.0006, unweighted_recall: 0.5,
Continuous Integration 25 days ago
ran flow TESTbb013abb2bsklearn.pipeline ... del._base.LinearRegression)(1) on task Supervised Regression on data set quake
0 likes - 0 downloads - 0 reach - mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1491, number_of_instances: 2178, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.1894, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9981,
Continuous Integration 25 days ago
ran flow sklearn.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 25 days ago
ran flow sklearn.pipeline.Pipeline(Impu ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.7324, kappa: 0.4127, kb_relative_information_score: 0.3128, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7318, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7318, prior_entropy: 0.9331, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8817, unweighted_recall: 0.7074,
Continuous Integration 25 days ago
ran flow sklearn.pipeline.Pipeline(enc= ... st.RandomForestClassifier))(1) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9033, kappa: 0.806, kb_relative_information_score: 0.4804, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4984, weighted_recall: 0.9032, number_of_instances: 1054, precision: 0.9039, predictive_accuracy: 0.9032, prior_entropy: 0.9969, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6513, unweighted_recall: 0.904,
Continuous Integration 25 days ago
ran flow sklearn.pipeline.Pipeline(Impu ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, 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: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
Test Test 3 days ago
ran flow sklearn.pipeline.Pipeline(impu ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7159, kappa: 0.6842, kb_relative_information_score: 0.7028, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, weighted_recall: 0.7158, number_of_instances: 10000, precision: 0.7161, predictive_accuracy: 0.7158, prior_entropy: 3.3219, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7947, unweighted_recall: 0.7158,