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VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9652, kappa: 0.9232, kb_relative_information_score: 0.8464, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9651, number_of_instances: 601, precision: 0.9659, predictive_accuracy: 0.9651, prior_entropy: 0.9274, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3545, unweighted_recall: 0.9664,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9393, kappa: 0.8639, kb_relative_information_score: 0.6978, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9401, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9401, prior_entropy: 0.9274, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4758, unweighted_recall: 0.9219,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.8956, kb_relative_information_score: 0.7395, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9534, number_of_instances: 601, precision: 0.9533, predictive_accuracy: 0.9534, prior_entropy: 0.9274, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4656, unweighted_recall: 0.9437,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8433, kappa: 0.6436, kb_relative_information_score: 0.3139, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8519, number_of_instances: 601, precision: 0.8619, predictive_accuracy: 0.8519, prior_entropy: 0.9274, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7862, unweighted_recall: 0.7968,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -0.1798, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5824, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9274, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0507, unweighted_recall: 0.443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.975, kappa: 0.9443, kb_relative_information_score: 0.6747, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.4507, weighted_recall: 0.975, number_of_instances: 601, precision: 0.975, predictive_accuracy: 0.975, prior_entropy: 0.9274, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4709, unweighted_recall: 0.9694,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.713, kappa: 0.3467, kb_relative_information_score: 0.3908, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4507, weighted_recall: 0.7371, number_of_instances: 601, precision: 0.7321, predictive_accuracy: 0.7371, prior_entropy: 0.9274, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0803, unweighted_recall: 0.6548,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.5157, kappa: -0.023, kb_relative_information_score: -0.0145, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6456, number_of_instances: 601, precision: 0.4293, predictive_accuracy: 0.6456, prior_entropy: 0.9274, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, unweighted_recall: 0.4911,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 0.9846, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9933, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9274, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1719, unweighted_recall: 0.9938,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8747, kappa: 0.7208, kb_relative_information_score: 0.4895, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4507, weighted_recall: 0.8752, number_of_instances: 601, precision: 0.8744, predictive_accuracy: 0.8752, prior_entropy: 0.9274, relative_absolute_error: 0.5294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6804, unweighted_recall: 0.8574,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5458, kappa: 0.0061, kb_relative_information_score: -0.0642, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5408, number_of_instances: 601, precision: 0.5522, predictive_accuracy: 0.5408, prior_entropy: 0.9274, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6777, root_relative_squared_error: 1.4278, unweighted_recall: 0.5031,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5124, kappa: -0.036, kb_relative_information_score: -0.0117, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, weighted_recall: 0.6389, number_of_instances: 601, precision: 0.4278, predictive_accuracy: 0.6389, prior_entropy: 0.9274, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, unweighted_recall: 0.4861,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(cate ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.9434, kappa: 0.4331, kb_relative_information_score: -0.2308, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9489, number_of_instances: 32769, precision: 0.941, predictive_accuracy: 0.9489, prior_entropy: 0.319, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.8775, unweighted_recall: 0.6788,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(cate ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.9363, kappa: 0.3082, kb_relative_information_score: 0.3345, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9494, number_of_instances: 32769, precision: 0.9396, predictive_accuracy: 0.9494, prior_entropy: 0.319, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9632, unweighted_recall: 0.6033,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(cate ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.9335, kappa: 0.2735, kb_relative_information_score: -0.1036, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9479, number_of_instances: 32769, precision: 0.9366, predictive_accuracy: 0.9479, prior_entropy: 0.319, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.201, root_relative_squared_error: 0.8606, unweighted_recall: 0.5899,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7762, kappa: 0.343, kb_relative_information_score: 0.1499, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, weighted_recall: 0.7995, number_of_instances: 748, precision: 0.7801, predictive_accuracy: 0.7995, prior_entropy: 0.7916, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9091, unweighted_recall: 0.6443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.0741, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0738, unweighted_recall: 0.5899,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1268, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9436, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7365, kappa: 0.2403, kb_relative_information_score: 0.0848, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, weighted_recall: 0.7527, number_of_instances: 748, precision: 0.7288, predictive_accuracy: 0.7527, prior_entropy: 0.7916, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0056, unweighted_recall: 0.6078,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.7042, kappa: 0.1566, kb_relative_information_score: 0.0631, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7166, number_of_instances: 748, precision: 0.6955, predictive_accuracy: 0.7166, prior_entropy: 0.7916, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.2151, unweighted_recall: 0.5726,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7127, kappa: 0.1465, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.7115, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552, unweighted_recall: 0.5573,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7762, kappa: 0.343, kb_relative_information_score: 0.1499, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, weighted_recall: 0.7995, number_of_instances: 748, precision: 0.7801, predictive_accuracy: 0.7995, prior_entropy: 0.7916, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9091, unweighted_recall: 0.6443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.0741, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0738, unweighted_recall: 0.5899,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1268, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9436, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7365, kappa: 0.2403, kb_relative_information_score: 0.0848, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, weighted_recall: 0.7527, number_of_instances: 748, precision: 0.7288, predictive_accuracy: 0.7527, prior_entropy: 0.7916, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0056, unweighted_recall: 0.6078,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.7042, kappa: 0.1566, kb_relative_information_score: 0.0631, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7166, number_of_instances: 748, precision: 0.6955, predictive_accuracy: 0.7166, prior_entropy: 0.7916, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.2151, unweighted_recall: 0.5726,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7127, kappa: 0.1465, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.7115, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552, unweighted_recall: 0.5573,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7762, kappa: 0.343, kb_relative_information_score: 0.1499, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, weighted_recall: 0.7995, number_of_instances: 748, precision: 0.7801, predictive_accuracy: 0.7995, prior_entropy: 0.7916, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9091, unweighted_recall: 0.6443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.0741, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0738, unweighted_recall: 0.5899,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1268, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9436, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7365, kappa: 0.2403, kb_relative_information_score: 0.0848, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, weighted_recall: 0.7527, number_of_instances: 748, precision: 0.7288, predictive_accuracy: 0.7527, prior_entropy: 0.7916, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0056, unweighted_recall: 0.6078,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.7042, kappa: 0.1566, kb_relative_information_score: 0.0631, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7166, number_of_instances: 748, precision: 0.6955, predictive_accuracy: 0.7166, prior_entropy: 0.7916, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.2151, unweighted_recall: 0.5726,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7127, kappa: 0.1465, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.7115, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552, unweighted_recall: 0.5573,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7762, kappa: 0.343, kb_relative_information_score: 0.1499, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, weighted_recall: 0.7995, number_of_instances: 748, precision: 0.7801, predictive_accuracy: 0.7995, prior_entropy: 0.7916, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9091, unweighted_recall: 0.6443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.0741, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0738, unweighted_recall: 0.5899,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1268, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9436, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7365, kappa: 0.2403, kb_relative_information_score: 0.0848, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, weighted_recall: 0.7527, number_of_instances: 748, precision: 0.7288, predictive_accuracy: 0.7527, prior_entropy: 0.7916, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0056, unweighted_recall: 0.6078,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.7042, kappa: 0.1566, kb_relative_information_score: 0.0631, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7166, number_of_instances: 748, precision: 0.6955, predictive_accuracy: 0.7166, prior_entropy: 0.7916, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.2151, unweighted_recall: 0.5726,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7127, kappa: 0.1465, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.7115, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552, unweighted_recall: 0.5573,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.7762, kappa: 0.343, kb_relative_information_score: 0.1499, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.363, weighted_recall: 0.7995, number_of_instances: 748, precision: 0.7801, predictive_accuracy: 0.7995, prior_entropy: 0.7916, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.9091, unweighted_recall: 0.6443,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.7365, kappa: 0.2345, kb_relative_information_score: 0.1135, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.363, weighted_recall: 0.7567, number_of_instances: 748, precision: 0.729, predictive_accuracy: 0.7567, prior_entropy: 0.7916, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9879, unweighted_recall: 0.6027,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7258, kappa: 0.2043, kb_relative_information_score: 0.0741, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.363, weighted_recall: 0.746, number_of_instances: 748, precision: 0.7168, predictive_accuracy: 0.746, prior_entropy: 0.7916, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4573, root_relative_squared_error: 1.0738, unweighted_recall: 0.5899,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1268, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, weighted_recall: 0.7727, number_of_instances: 748, precision: 0.7432, predictive_accuracy: 0.7727, prior_entropy: 0.7916, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9436, unweighted_recall: 0.6055,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7743, kappa: 0.3371, kb_relative_information_score: -0.6815, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.363, weighted_recall: 0.7981, number_of_instances: 748, precision: 0.7783, predictive_accuracy: 0.7981, prior_entropy: 0.7916, relative_absolute_error: 1.359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.1594, unweighted_recall: 0.6415,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7365, kappa: 0.2403, kb_relative_information_score: 0.0848, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, weighted_recall: 0.7527, number_of_instances: 748, precision: 0.7288, predictive_accuracy: 0.7527, prior_entropy: 0.7916, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.0056, unweighted_recall: 0.6078,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.7283, kappa: 0.1912, kb_relative_information_score: 0.3103, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.363, weighted_recall: 0.7781, number_of_instances: 748, precision: 0.7486, predictive_accuracy: 0.7781, prior_entropy: 0.7916, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1063, unweighted_recall: 0.5723,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.7128, kappa: 0.1502, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, weighted_recall: 0.7513, number_of_instances: 748, precision: 0.7062, predictive_accuracy: 0.7513, prior_entropy: 0.7916, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0102, unweighted_recall: 0.5606,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.7042, kappa: 0.1566, kb_relative_information_score: 0.0631, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.363, weighted_recall: 0.7166, number_of_instances: 748, precision: 0.6955, predictive_accuracy: 0.7166, prior_entropy: 0.7916, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.2151, unweighted_recall: 0.5726,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7528, kappa: 0.2823, kb_relative_information_score: 0.0823, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.7474, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9826, unweighted_recall: 0.624,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5573, f_measure: 0.7127, kappa: 0.1465, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, weighted_recall: 0.758, number_of_instances: 748, precision: 0.7115, predictive_accuracy: 0.758, prior_entropy: 0.7916, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552, unweighted_recall: 0.5573,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 0.0971, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.363, weighted_recall: 0.7714, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7916, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, unweighted_recall: 0.5467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8869, kappa: 0.7712, kb_relative_information_score: 0.6872, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4948, weighted_recall: 0.887, number_of_instances: 14980, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9924, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5716, unweighted_recall: 0.8847,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9039, kappa: 0.8055, kb_relative_information_score: 0.6485, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9041, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 0.9924, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5499, unweighted_recall: 0.9013,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9497, kappa: 0.8982, kb_relative_information_score: 0.6368, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9499, number_of_instances: 14980, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 0.9924, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5114, unweighted_recall: 0.9472,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6374, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9339, number_of_instances: 14980, precision: 0.9345, predictive_accuracy: 0.9339, prior_entropy: 0.9924, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5251, unweighted_recall: 0.9309,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,