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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: 0.986, f_measure: 0.9503, kappa: 0.8902, kb_relative_information_score: 0.8302, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9501, number_of_instances: 601, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 0.9274, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4078, unweighted_recall: 0.9493,
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: 0.9909, f_measure: 0.9514, kappa: 0.8913, kb_relative_information_score: 0.7327, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9517, number_of_instances: 601, precision: 0.952, predictive_accuracy: 0.9517, prior_entropy: 0.9274, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4737, unweighted_recall: 0.9389,
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: 0.9971, f_measure: 0.9783, kappa: 0.9517, kb_relative_information_score: 0.676, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9784, number_of_instances: 601, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 0.9274, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4702, unweighted_recall: 0.9731,
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: 0.9925, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9917, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9274, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1922, unweighted_recall: 0.9925,
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: 0.5087, f_measure: 0.5687, kappa: 0.0189, kb_relative_information_score: 0.0553, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5923, number_of_instances: 601, precision: 0.5586, predictive_accuracy: 0.5923, prior_entropy: 0.9274, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.3452, unweighted_recall: 0.5087,
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: 0.986, f_measure: 0.9503, kappa: 0.8902, kb_relative_information_score: 0.8302, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9501, number_of_instances: 601, precision: 0.9509, predictive_accuracy: 0.9501, prior_entropy: 0.9274, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4078, unweighted_recall: 0.9493,
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: 0.9909, f_measure: 0.9514, kappa: 0.8913, kb_relative_information_score: 0.7327, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9517, number_of_instances: 601, precision: 0.952, predictive_accuracy: 0.9517, prior_entropy: 0.9274, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4737, unweighted_recall: 0.9389,
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: 0.9971, f_measure: 0.9783, kappa: 0.9517, kb_relative_information_score: 0.676, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9784, number_of_instances: 601, precision: 0.9784, predictive_accuracy: 0.9784, prior_entropy: 0.9274, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4702, unweighted_recall: 0.9731,
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: 0.9925, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 0.9807, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4507, weighted_recall: 0.9917, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9274, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1922, unweighted_recall: 0.9925,
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: 0.5087, f_measure: 0.5687, kappa: 0.0189, kb_relative_information_score: 0.0553, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4507, weighted_recall: 0.5923, number_of_instances: 601, precision: 0.5586, predictive_accuracy: 0.5923, prior_entropy: 0.9274, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.3452, unweighted_recall: 0.5087,
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 Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9151, kappa: 0.0159, kb_relative_information_score: -0.4375, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9854, unweighted_recall: 0.5043,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9279, kappa: 0.1919, kb_relative_information_score: -0.1419, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9465, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9465, prior_entropy: 0.319, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8893, unweighted_recall: 0.5582,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9412, kappa: 0.4333, kb_relative_information_score: -0.0498, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9443, number_of_instances: 32769, precision: 0.9389, predictive_accuracy: 0.9443, prior_entropy: 0.319, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926, unweighted_recall: 0.6953,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9161, kappa: 0.028, kb_relative_information_score: -0.3344, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9586, unweighted_recall: 0.5075,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, kb_relative_information_score: -8.4835, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 4.4492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.4856, root_relative_squared_error: 2.0795, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9443, kappa: 0.4469, kb_relative_information_score: -0.104, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9492, number_of_instances: 32769, precision: 0.9419, predictive_accuracy: 0.9492, prior_entropy: 0.319, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.202, root_relative_squared_error: 0.8651, unweighted_recall: 0.6883,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2386, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.9024, kappa: 0.0229, kb_relative_information_score: -2.227, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9119, number_of_instances: 32769, precision: 0.8936, predictive_accuracy: 0.9119, prior_entropy: 0.319, relative_absolute_error: 1.4659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2744, root_relative_squared_error: 1.1748, unweighted_recall: 0.5095,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.9301, kappa: 0.3729, kb_relative_information_score: 0.0616, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9287, number_of_instances: 32769, precision: 0.9317, predictive_accuracy: 0.9287, prior_entropy: 0.319, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.1438, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9218, kappa: 0.1539, kb_relative_information_score: -0.6735, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9376, number_of_instances: 32769, precision: 0.9147, predictive_accuracy: 0.9376, prior_entropy: 0.319, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0015, unweighted_recall: 0.552,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9136, kappa: -0.0015, kb_relative_information_score: 0.2285, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9413, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9413, prior_entropy: 0.319, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2422, root_relative_squared_error: 1.037, unweighted_recall: 0.4996,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kb_relative_information_score: -0.1006, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9151, kappa: 0.0159, kb_relative_information_score: -0.4375, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9854, unweighted_recall: 0.5043,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9279, kappa: 0.1919, kb_relative_information_score: -0.1419, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9465, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9465, prior_entropy: 0.319, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8893, unweighted_recall: 0.5582,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9412, kappa: 0.4333, kb_relative_information_score: -0.0498, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9443, number_of_instances: 32769, precision: 0.9389, predictive_accuracy: 0.9443, prior_entropy: 0.319, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926, unweighted_recall: 0.6953,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9161, kappa: 0.028, kb_relative_information_score: -0.3344, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9586, unweighted_recall: 0.5075,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, kb_relative_information_score: -8.4835, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 4.4492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.4856, root_relative_squared_error: 2.0795, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9443, kappa: 0.4469, kb_relative_information_score: -0.104, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9492, number_of_instances: 32769, precision: 0.9419, predictive_accuracy: 0.9492, prior_entropy: 0.319, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.202, root_relative_squared_error: 0.8651, unweighted_recall: 0.6883,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2386, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.9024, kappa: 0.0229, kb_relative_information_score: -2.227, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9119, number_of_instances: 32769, precision: 0.8936, predictive_accuracy: 0.9119, prior_entropy: 0.319, relative_absolute_error: 1.4659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2744, root_relative_squared_error: 1.1748, unweighted_recall: 0.5095,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.9301, kappa: 0.3729, kb_relative_information_score: 0.0616, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9287, number_of_instances: 32769, precision: 0.9317, predictive_accuracy: 0.9287, prior_entropy: 0.319, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.1438, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9218, kappa: 0.1539, kb_relative_information_score: -0.6735, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9376, number_of_instances: 32769, precision: 0.9147, predictive_accuracy: 0.9376, prior_entropy: 0.319, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0015, unweighted_recall: 0.552,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9136, kappa: -0.0015, kb_relative_information_score: 0.2285, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9413, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9413, prior_entropy: 0.319, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2422, root_relative_squared_error: 1.037, unweighted_recall: 0.4996,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kb_relative_information_score: -0.1006, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9151, kappa: 0.0159, kb_relative_information_score: -0.4375, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9854, unweighted_recall: 0.5043,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9279, kappa: 0.1919, kb_relative_information_score: -0.1419, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9465, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9465, prior_entropy: 0.319, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8893, unweighted_recall: 0.5582,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9412, kappa: 0.4333, kb_relative_information_score: -0.0498, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9443, number_of_instances: 32769, precision: 0.9389, predictive_accuracy: 0.9443, prior_entropy: 0.319, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926, unweighted_recall: 0.6953,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9161, kappa: 0.028, kb_relative_information_score: -0.3344, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9586, unweighted_recall: 0.5075,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, kb_relative_information_score: -8.4835, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 4.4492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.4856, root_relative_squared_error: 2.0795, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9443, kappa: 0.4469, kb_relative_information_score: -0.104, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9492, number_of_instances: 32769, precision: 0.9419, predictive_accuracy: 0.9492, prior_entropy: 0.319, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.202, root_relative_squared_error: 0.8651, unweighted_recall: 0.6883,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2386, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.9024, kappa: 0.0229, kb_relative_information_score: -2.227, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9119, number_of_instances: 32769, precision: 0.8936, predictive_accuracy: 0.9119, prior_entropy: 0.319, relative_absolute_error: 1.4659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2744, root_relative_squared_error: 1.1748, unweighted_recall: 0.5095,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.9301, kappa: 0.3729, kb_relative_information_score: 0.0616, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9287, number_of_instances: 32769, precision: 0.9317, predictive_accuracy: 0.9287, prior_entropy: 0.319, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.1438, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9218, kappa: 0.1539, kb_relative_information_score: -0.6735, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9376, number_of_instances: 32769, precision: 0.9147, predictive_accuracy: 0.9376, prior_entropy: 0.319, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0015, unweighted_recall: 0.552,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9136, kappa: -0.0015, kb_relative_information_score: 0.2285, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9413, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9413, prior_entropy: 0.319, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2422, root_relative_squared_error: 1.037, unweighted_recall: 0.4996,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kb_relative_information_score: -0.1006, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9151, kappa: 0.0159, kb_relative_information_score: -0.4375, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9854, unweighted_recall: 0.5043,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9279, kappa: 0.1919, kb_relative_information_score: -0.1419, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9465, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9465, prior_entropy: 0.319, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8893, unweighted_recall: 0.5582,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9412, kappa: 0.4333, kb_relative_information_score: -0.0498, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9443, number_of_instances: 32769, precision: 0.9389, predictive_accuracy: 0.9443, prior_entropy: 0.319, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926, unweighted_recall: 0.6953,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9161, kappa: 0.028, kb_relative_information_score: -0.3344, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9586, unweighted_recall: 0.5075,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, kb_relative_information_score: -8.4835, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 4.4492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.4856, root_relative_squared_error: 2.0795, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9443, kappa: 0.4469, kb_relative_information_score: -0.104, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9492, number_of_instances: 32769, precision: 0.9419, predictive_accuracy: 0.9492, prior_entropy: 0.319, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.202, root_relative_squared_error: 0.8651, unweighted_recall: 0.6883,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2386, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.9024, kappa: 0.0229, kb_relative_information_score: -2.227, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9119, number_of_instances: 32769, precision: 0.8936, predictive_accuracy: 0.9119, prior_entropy: 0.319, relative_absolute_error: 1.4659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2744, root_relative_squared_error: 1.1748, unweighted_recall: 0.5095,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.9301, kappa: 0.3729, kb_relative_information_score: 0.0616, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9287, number_of_instances: 32769, precision: 0.9317, predictive_accuracy: 0.9287, prior_entropy: 0.319, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.1438, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9218, kappa: 0.1539, kb_relative_information_score: -0.6735, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9376, number_of_instances: 32769, precision: 0.9147, predictive_accuracy: 0.9376, prior_entropy: 0.319, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0015, unweighted_recall: 0.552,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9136, kappa: -0.0015, kb_relative_information_score: 0.2285, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9413, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9413, prior_entropy: 0.319, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2422, root_relative_squared_error: 1.037, unweighted_recall: 0.4996,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kb_relative_information_score: -0.1006, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9151, kappa: 0.0159, kb_relative_information_score: -0.4375, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9423, number_of_instances: 32769, precision: 0.9219, predictive_accuracy: 0.9423, prior_entropy: 0.319, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.9854, unweighted_recall: 0.5043,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.9279, kappa: 0.1919, kb_relative_information_score: -0.1419, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9465, number_of_instances: 32769, precision: 0.9361, predictive_accuracy: 0.9465, prior_entropy: 0.319, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.8893, unweighted_recall: 0.5582,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.9412, kappa: 0.4333, kb_relative_information_score: -0.0498, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9443, number_of_instances: 32769, precision: 0.9389, predictive_accuracy: 0.9443, prior_entropy: 0.319, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.926, unweighted_recall: 0.6953,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9161, kappa: 0.028, kb_relative_information_score: -0.3344, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9428, number_of_instances: 32769, precision: 0.9363, predictive_accuracy: 0.9428, prior_entropy: 0.319, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9586, unweighted_recall: 0.5075,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, kb_relative_information_score: -8.4835, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 4.4492, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.4856, root_relative_squared_error: 2.0795, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.9443, kappa: 0.4469, kb_relative_information_score: -0.104, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9492, number_of_instances: 32769, precision: 0.9419, predictive_accuracy: 0.9492, prior_entropy: 0.319, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.202, root_relative_squared_error: 0.8651, unweighted_recall: 0.6883,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2386, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2406, root_relative_squared_error: 1.0303, unweighted_recall: 0.5,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.9024, kappa: 0.0229, kb_relative_information_score: -2.227, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9119, number_of_instances: 32769, precision: 0.8936, predictive_accuracy: 0.9119, prior_entropy: 0.319, relative_absolute_error: 1.4659, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2744, root_relative_squared_error: 1.1748, unweighted_recall: 0.5095,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.9301, kappa: 0.3729, kb_relative_information_score: 0.0616, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9287, number_of_instances: 32769, precision: 0.9317, predictive_accuracy: 0.9287, prior_entropy: 0.319, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.1438, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.9218, kappa: 0.1539, kb_relative_information_score: -0.6735, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9376, number_of_instances: 32769, precision: 0.9147, predictive_accuracy: 0.9376, prior_entropy: 0.319, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0015, unweighted_recall: 0.552,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.9136, kappa: -0.0015, kb_relative_information_score: 0.2285, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9413, number_of_instances: 32769, precision: 0.8875, predictive_accuracy: 0.9413, prior_entropy: 0.319, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2422, root_relative_squared_error: 1.037, unweighted_recall: 0.4996,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, kb_relative_information_score: -0.1006, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1091, weighted_recall: 0.9421, number_of_instances: 32769, predictive_accuracy: 0.9421, prior_entropy: 0.319, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.9999, unweighted_recall: 0.5,
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: 0.7593, f_measure: 0.7781, kappa: 0.3489, kb_relative_information_score: 0.161, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.363, weighted_recall: 0.8008, number_of_instances: 748, precision: 0.782, predictive_accuracy: 0.8008, prior_entropy: 0.7916, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9073, unweighted_recall: 0.6471,
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: 0.6445, f_measure: 0.7119, kappa: 0.1687, kb_relative_information_score: 0.0713, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, weighted_recall: 0.7299, number_of_instances: 748, precision: 0.7017, predictive_accuracy: 0.7299, prior_entropy: 0.7916, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4576, root_relative_squared_error: 1.0747, unweighted_recall: 0.5755,
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: 0.7137, f_measure: 0.7454, kappa: 0.252, kb_relative_information_score: 0.1263, mean_absolute_error: 0.3013, 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: 0.83, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9437, 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: 0.6868, f_measure: 0.7262, kappa: 0.2098, kb_relative_information_score: 0.0809, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.363, weighted_recall: 0.7433, number_of_instances: 748, precision: 0.7174, predictive_accuracy: 0.7433, prior_entropy: 0.7916, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0078, unweighted_recall: 0.594,
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: 0.5867, f_measure: 0.7002, kappa: 0.1478, kb_relative_information_score: 0.0475, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.363, weighted_recall: 0.7112, number_of_instances: 748, precision: 0.6919, predictive_accuracy: 0.7112, prior_entropy: 0.7916, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5223, root_relative_squared_error: 1.2266, unweighted_recall: 0.5691,
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: 0.5896, f_measure: 0.721, kappa: 0.1979, kb_relative_information_score: 0.1815, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.363, weighted_recall: 0.7366, number_of_instances: 748, precision: 0.7121, predictive_accuracy: 0.7366, prior_entropy: 0.7916, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.2051, unweighted_recall: 0.5896,
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: 0.7593, f_measure: 0.7781, kappa: 0.3489, kb_relative_information_score: 0.161, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.363, weighted_recall: 0.8008, number_of_instances: 748, precision: 0.782, predictive_accuracy: 0.8008, prior_entropy: 0.7916, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.9073, unweighted_recall: 0.6471,
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: 0.6445, f_measure: 0.7119, kappa: 0.1687, kb_relative_information_score: 0.0713, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.363, weighted_recall: 0.7299, number_of_instances: 748, precision: 0.7017, predictive_accuracy: 0.7299, prior_entropy: 0.7916, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4576, root_relative_squared_error: 1.0747, unweighted_recall: 0.5755,