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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 eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5681, kappa: 0.1484, kb_relative_information_score: 0.1811, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5967, number_of_instances: 14980, precision: 0.5961, predictive_accuracy: 0.5967, prior_entropy: 0.9924, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2768, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8869, kappa: 0.7712, kb_relative_information_score: 0.6872, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4948, weighted_recall: 0.887, number_of_instances: 14980, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9924, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5716, unweighted_recall: 0.8847,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9039, kappa: 0.8055, kb_relative_information_score: 0.6485, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9041, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 0.9924, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5499, unweighted_recall: 0.9013,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9497, kappa: 0.8982, kb_relative_information_score: 0.6368, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9499, number_of_instances: 14980, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 0.9924, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5114, unweighted_recall: 0.9472,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6374, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9339, number_of_instances: 14980, precision: 0.9345, predictive_accuracy: 0.9339, prior_entropy: 0.9924, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5251, unweighted_recall: 0.9309,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6846, kb_relative_information_score: 0.6832, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4948, weighted_recall: 0.844, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9924, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7941, unweighted_recall: 0.8422,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5681, kappa: 0.1484, kb_relative_information_score: 0.1811, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5967, number_of_instances: 14980, precision: 0.5961, predictive_accuracy: 0.5967, prior_entropy: 0.9924, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2768, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8869, kappa: 0.7712, kb_relative_information_score: 0.6872, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4948, weighted_recall: 0.887, number_of_instances: 14980, precision: 0.887, predictive_accuracy: 0.887, prior_entropy: 0.9924, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5716, unweighted_recall: 0.8847,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9039, kappa: 0.8055, kb_relative_information_score: 0.6485, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9041, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9041, prior_entropy: 0.9924, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5499, unweighted_recall: 0.9013,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9497, kappa: 0.8982, kb_relative_information_score: 0.6368, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9499, number_of_instances: 14980, precision: 0.9504, predictive_accuracy: 0.9499, prior_entropy: 0.9924, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5114, unweighted_recall: 0.9472,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 0.3919, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8128, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477, unweighted_recall: 0.8054,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.741, kappa: 0.4753, kb_relative_information_score: 0.0025, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7422, number_of_instances: 14980, precision: 0.7415, predictive_accuracy: 0.7422, prior_entropy: 0.9924, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9929, unweighted_recall: 0.736,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 0.6374, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9339, number_of_instances: 14980, precision: 0.9345, predictive_accuracy: 0.9339, prior_entropy: 0.9924, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5251, unweighted_recall: 0.9309,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6243, kappa: 0.2695, kb_relative_information_score: 0.3028, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6567, number_of_instances: 14980, precision: 0.6866, predictive_accuracy: 0.6567, prior_entropy: 0.9924, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5859, root_relative_squared_error: 1.1781, unweighted_recall: 0.628,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3296, kappa: -0.0001, kb_relative_information_score: -0.1036, mean_absolute_error: 0.5432, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4545, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4545, prior_entropy: 0.9924, relative_absolute_error: 1.098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526, unweighted_recall: 0.4999,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.844, kappa: 0.6846, kb_relative_information_score: 0.6832, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4948, weighted_recall: 0.844, number_of_instances: 14980, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9924, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7941, unweighted_recall: 0.8422,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8536, kappa: 0.7038, kb_relative_information_score: 0.61, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8537, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6527, unweighted_recall: 0.8512,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.5681, kappa: 0.1484, kb_relative_information_score: 0.1811, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5967, number_of_instances: 14980, precision: 0.5961, predictive_accuracy: 0.5967, prior_entropy: 0.9924, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2768, unweighted_recall: 0.571,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.5773, kappa: 0.1526, kb_relative_information_score: 0.066, mean_absolute_error: 0.4667, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5938, number_of_instances: 14980, precision: 0.589, predictive_accuracy: 0.5938, prior_entropy: 0.9924, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9706, unweighted_recall: 0.5739,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8764, kappa: 0.7253, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8787, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6305, unweighted_recall: 0.8514,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8799, kappa: 0.7332, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.456, weighted_recall: 0.882, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9355, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6205, unweighted_recall: 0.8557,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8749, kappa: 0.7214, kb_relative_information_score: 0.5765, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.456, weighted_recall: 0.8777, number_of_instances: 19020, precision: 0.8786, predictive_accuracy: 0.8777, prior_entropy: 0.9355, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.635, unweighted_recall: 0.8473,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.597, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8816, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264, unweighted_recall: 0.8562,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.817, kappa: 0.5989, kb_relative_information_score: 0.5826, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.456, weighted_recall: 0.8169, number_of_instances: 19020, precision: 0.8171, predictive_accuracy: 0.8169, prior_entropy: 0.9355, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8961, unweighted_recall: 0.7997,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7756, kappa: 0.4976, kb_relative_information_score: 0.5095, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.456, weighted_recall: 0.7849, number_of_instances: 19020, precision: 0.7823, predictive_accuracy: 0.7849, prior_entropy: 0.9355, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9714, unweighted_recall: 0.7337,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8764, kappa: 0.7253, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8787, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6305, unweighted_recall: 0.8514,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8799, kappa: 0.7332, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.456, weighted_recall: 0.882, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9355, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6205, unweighted_recall: 0.8557,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8749, kappa: 0.7214, kb_relative_information_score: 0.5765, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.456, weighted_recall: 0.8777, number_of_instances: 19020, precision: 0.8786, predictive_accuracy: 0.8777, prior_entropy: 0.9355, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.635, unweighted_recall: 0.8473,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.597, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8816, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264, unweighted_recall: 0.8562,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.817, kappa: 0.5989, kb_relative_information_score: 0.5826, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.456, weighted_recall: 0.8169, number_of_instances: 19020, precision: 0.8171, predictive_accuracy: 0.8169, prior_entropy: 0.9355, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8961, unweighted_recall: 0.7997,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7756, kappa: 0.4976, kb_relative_information_score: 0.5095, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.456, weighted_recall: 0.7849, number_of_instances: 19020, precision: 0.7823, predictive_accuracy: 0.7849, prior_entropy: 0.9355, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9714, unweighted_recall: 0.7337,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8764, kappa: 0.7253, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8787, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6305, unweighted_recall: 0.8514,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8799, kappa: 0.7332, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.456, weighted_recall: 0.882, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9355, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6205, unweighted_recall: 0.8557,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8749, kappa: 0.7214, kb_relative_information_score: 0.5765, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.456, weighted_recall: 0.8777, number_of_instances: 19020, precision: 0.8786, predictive_accuracy: 0.8777, prior_entropy: 0.9355, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.635, unweighted_recall: 0.8473,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.597, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8816, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264, unweighted_recall: 0.8562,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.817, kappa: 0.5989, kb_relative_information_score: 0.5826, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.456, weighted_recall: 0.8169, number_of_instances: 19020, precision: 0.8171, predictive_accuracy: 0.8169, prior_entropy: 0.9355, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8961, unweighted_recall: 0.7997,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7756, kappa: 0.4976, kb_relative_information_score: 0.5095, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.456, weighted_recall: 0.7849, number_of_instances: 19020, precision: 0.7823, predictive_accuracy: 0.7849, prior_entropy: 0.9355, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9714, unweighted_recall: 0.7337,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8764, kappa: 0.7253, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8787, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6305, unweighted_recall: 0.8514,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8799, kappa: 0.7332, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.456, weighted_recall: 0.882, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9355, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6205, unweighted_recall: 0.8557,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8749, kappa: 0.7214, kb_relative_information_score: 0.5765, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.456, weighted_recall: 0.8777, number_of_instances: 19020, precision: 0.8786, predictive_accuracy: 0.8777, prior_entropy: 0.9355, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.635, unweighted_recall: 0.8473,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.597, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8816, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264, unweighted_recall: 0.8562,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.817, kappa: 0.5989, kb_relative_information_score: 0.5826, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.456, weighted_recall: 0.8169, number_of_instances: 19020, precision: 0.8171, predictive_accuracy: 0.8169, prior_entropy: 0.9355, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8961, unweighted_recall: 0.7997,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7756, kappa: 0.4976, kb_relative_information_score: 0.5095, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.456, weighted_recall: 0.7849, number_of_instances: 19020, precision: 0.7823, predictive_accuracy: 0.7849, prior_entropy: 0.9355, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9714, unweighted_recall: 0.7337,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8764, kappa: 0.7253, kb_relative_information_score: 0.6318, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.456, weighted_recall: 0.8787, number_of_instances: 19020, precision: 0.8787, predictive_accuracy: 0.8787, prior_entropy: 0.9355, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6305, unweighted_recall: 0.8514,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8799, kappa: 0.7332, kb_relative_information_score: 0.6289, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.456, weighted_recall: 0.882, number_of_instances: 19020, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9355, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6205, unweighted_recall: 0.8557,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8749, kappa: 0.7214, kb_relative_information_score: 0.5765, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.456, weighted_recall: 0.8777, number_of_instances: 19020, precision: 0.8786, predictive_accuracy: 0.8777, prior_entropy: 0.9355, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.635, unweighted_recall: 0.8473,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8688, kappa: 0.7075, kb_relative_information_score: 0.5667, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.456, weighted_recall: 0.872, number_of_instances: 19020, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.9355, relative_absolute_error: 0.4611, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6498, unweighted_recall: 0.8395,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8384, kappa: 0.6413, kb_relative_information_score: -0.1324, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.456, weighted_recall: 0.841, number_of_instances: 19020, precision: 0.8391, predictive_accuracy: 0.841, prior_entropy: 0.9355, relative_absolute_error: 1.0762, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4908, root_relative_squared_error: 1.0279, unweighted_recall: 0.8118,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8798, kappa: 0.7332, kb_relative_information_score: 0.597, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8816, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264, unweighted_recall: 0.8562,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.8649, kappa: 0.6983, kb_relative_information_score: 0.7014, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.456, weighted_recall: 0.869, number_of_instances: 19020, precision: 0.8719, predictive_accuracy: 0.869, prior_entropy: 0.9355, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7579, unweighted_recall: 0.8324,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7004, kappa: 0.3288, kb_relative_information_score: 0.3672, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.456, weighted_recall: 0.7268, number_of_instances: 19020, precision: 0.7233, predictive_accuracy: 0.7268, prior_entropy: 0.9355, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0177, unweighted_recall: 0.6468,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.817, kappa: 0.5989, kb_relative_information_score: 0.5826, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.456, weighted_recall: 0.8169, number_of_instances: 19020, precision: 0.8171, predictive_accuracy: 0.8169, prior_entropy: 0.9355, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8961, unweighted_recall: 0.7997,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8337, kappa: 0.6281, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.456, weighted_recall: 0.8395, number_of_instances: 19020, precision: 0.8413, predictive_accuracy: 0.8395, prior_entropy: 0.9355, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.732, unweighted_recall: 0.7972,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.7756, kappa: 0.4976, kb_relative_information_score: 0.5095, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.456, weighted_recall: 0.7849, number_of_instances: 19020, precision: 0.7823, predictive_accuracy: 0.7849, prior_entropy: 0.9355, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9714, unweighted_recall: 0.7337,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7836, kappa: 0.5166, kb_relative_information_score: 0.3745, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.456, weighted_recall: 0.7906, number_of_instances: 19020, precision: 0.7873, predictive_accuracy: 0.7906, prior_entropy: 0.9355, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.804, unweighted_recall: 0.7453,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 0.9288, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.2707, unweighted_recall: 0.9533,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9211, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0961, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3066, unweighted_recall: 0.9533,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9354, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0711, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3742, unweighted_recall: 0.9533,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... oosting.AdaBoostClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9399, kappa: 0.91, kb_relative_information_score: 0.9175, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4444, weighted_recall: 0.94, number_of_instances: 150, precision: 0.941, predictive_accuracy: 0.94, prior_entropy: 1.585, relative_absolute_error: 0.0992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3337, unweighted_recall: 0.94,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... est.RandomForestClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9298, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3092, unweighted_recall: 0.96,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... l=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9544, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.9667,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... arn.naive_bayes.GaussianNB)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.93, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.3262, unweighted_recall: 0.96,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ses.DecisionTreeClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9467, kappa: 0.92, kb_relative_information_score: 0.927, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9467, number_of_instances: 150, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 1.585, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4, unweighted_recall: 0.9467,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9123, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3225, unweighted_recall: 0.96,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9269, kappa: 0.89, kb_relative_information_score: 0.8996, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9267, number_of_instances: 150, precision: 0.9275, predictive_accuracy: 0.9267, prior_entropy: 1.585, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469, unweighted_recall: 0.9267,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.8683, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3162, unweighted_recall: 0.96,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... r_perceptron.MLPClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9535, kappa: 0.93, kb_relative_information_score: 0.9288, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9539, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.2707, unweighted_recall: 0.9533,
VAIBHAV JAISWAL 2 years ago
ran flow sklearn.pipeline.Pipeline(nume ... GradientBoostingClassifier)(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 0.9326, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9533, number_of_instances: 150, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 1.585, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.372, unweighted_recall: 0.9533,