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VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7163, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7201, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.694, kappa: 0.6606, kb_relative_information_score: 0.6805, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, weighted_recall: 0.6945, number_of_instances: 2000, precision: 0.7071, predictive_accuracy: 0.6945, prior_entropy: 3.3219, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.8239, unweighted_recall: 0.6945,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.7068, kappa: 0.6756, kb_relative_information_score: 0.7, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, weighted_recall: 0.708, number_of_instances: 2000, precision: 0.707, predictive_accuracy: 0.708, prior_entropy: 3.3219, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242, unweighted_recall: 0.708,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7095, kappa: 0.6778, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, weighted_recall: 0.71, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.71, prior_entropy: 3.3219, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6465, unweighted_recall: 0.71,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, kappa: 0.1356, kb_relative_information_score: 0.1827, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.18, weighted_recall: 0.222, number_of_instances: 2000, predictive_accuracy: 0.222, prior_entropy: 3.3219, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.9793, unweighted_recall: 0.222,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.7061, kappa: 0.6744, kb_relative_information_score: 0.729, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.18, weighted_recall: 0.707, number_of_instances: 2000, precision: 0.7063, predictive_accuracy: 0.707, prior_entropy: 3.3219, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6695, unweighted_recall: 0.707,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7143, kappa: 0.685, kb_relative_information_score: 0.7035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, weighted_recall: 0.7165, number_of_instances: 2000, precision: 0.7219, predictive_accuracy: 0.7165, prior_entropy: 3.3219, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.7937, unweighted_recall: 0.7165,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, weighted_recall: 0.6025, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498, unweighted_recall: 0.6025,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.6494, kappa: 0.6111, kb_relative_information_score: 0.6413, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, weighted_recall: 0.65, number_of_instances: 2000, precision: 0.6498, predictive_accuracy: 0.65, prior_entropy: 3.3219, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8712, unweighted_recall: 0.65,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7142, kappa: 0.6822, kb_relative_information_score: 0.7613, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, weighted_recall: 0.714, number_of_instances: 2000, precision: 0.7155, predictive_accuracy: 0.714, prior_entropy: 3.3219, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6442, unweighted_recall: 0.714,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7099, kappa: 0.6867, kb_relative_information_score: 0.7051, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, weighted_recall: 0.718, number_of_instances: 2000, precision: 0.72, predictive_accuracy: 0.718, prior_entropy: 3.3219, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7916, unweighted_recall: 0.718,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.7379, kappa: 0.7094, kb_relative_information_score: 0.7467, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, weighted_recall: 0.7385, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7385, prior_entropy: 3.3219, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607, unweighted_recall: 0.7385,
Ruslan Khal 2 years ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(17) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8786, kappa: 0.7306, kb_relative_information_score: 0.5967, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8806, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8806, prior_entropy: 0.9355, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6279, unweighted_recall: 0.8551,
Laurens Krudde 2 years ago
ran flow sklearn.linear_model._base.LinearRegression(3) on task Supervised Regression on data set Reading_Hydro_downstream
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.0087, number_of_instances: 1000, root_mean_prior_squared_error: 0.012,
Laurens Krudde 2 years ago
ran flow sklearn.linear_model._base.LinearRegression(3) on task Supervised Regression on data set Reading_Hydro_upstream
0 likes - 0 downloads - 0 reach - mean_prior_absolute_error: 0.0087, number_of_instances: 1000, root_mean_prior_squared_error: 0.012,
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 ... 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 ... 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 ... 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 ... 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,