1852582 2572 Xiaolei Wang 145677 Supervised Classification area_under_roc_curve 5775 sklearn.model_selection._search.GridSearchCV(estimator=sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,select=sklearn.feature_selection.univariate_selection.SelectPercentile,scaler=sklearn.preprocessing.data.MinMaxScaler,Classifier=sklearn.neighbors.classification.KNeighborsClassifier))(1) 30373 algorithm auto 5503 leaf_size 30 5503 metric minkowski 5503 metric_params None 5503 n_jobs 1 5503 n_neighbors 5 5503 p 2 5503 weights uniform 5503 axis 0 5508 copy True 5508 missing_values NaN 5508 strategy mean 5508 verbose 0 5508 percentile 5 5654 score_func <function f_regression at 0x10fa46f28> 5654 copy True 5750 feature_range (0, 1) 5750 cv 10 5775 error_score raise 5775 estimator Pipeline(steps=[('Imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='mean', verbose=0)), ('select', SelectPercentile(percentile=5, score_func=<function f_regression at 0x10fa46f28>)), ('scaler', MinMaxScaler(copy=True, feature_range=(0, 1))), ('Classifier', KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2, weights='uniform'))]) 5775 fit_params {} 5775 iid True 5775 n_jobs -1 5775 param_grid {'Classifier__n_neighbors': [1, 3, 5, 7, 10]} 5775 pre_dispatch 2*n_jobs 5775 refit True 5775 return_train_score True 5775 scoring roc_auc 5775 verbose 0 5775 steps [('Imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='mean', verbose=0)), ('select', SelectPercentile(percentile=5, score_func=<function f_regression at 0x10fa46f28>)), ('scaler', MinMaxScaler(copy=True, feature_range=(0, 1))), ('Classifier', KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2, weights='uniform'))] 5776 NumPy_1.11.3. Python_3.5.2. run_task SciPy_0.18.1. sklearn.model_selection._search.GridSearchCV Sklearn_0.18.1. Wed_Mar_15_15.07.22_2017 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 4654189 description https://api.openml.org/data/download/4654189/description.xml -1 4654191 predictions https://api.openml.org/data/download/4654191/predictions.arff -1 4654190 trace https://api.openml.org/data/download/4654190/trace.arff area_under_roc_curve 0.819476 [0.819476,0.819476] average_cost 0 f_measure 0.746462 [0.722983,0.766282] kappa 0.489264 kb_relative_information_score 1429.671388 mean_absolute_error 0.316982 mean_prior_absolute_error 0.496431 number_of_instances 3751 [1717,2034] precision 0.746456 [0.723193,0.766093] predictive_accuracy 0.746468 prior_entropy 0.994847 recall 0.746468 [0.722772,0.76647] relative_absolute_error 0.638522 root_mean_prior_squared_error 0.498211 root_mean_squared_error 0.417469 root_relative_squared_error 0.837936 total_cost 0 area_under_roc_curve 0.813982 [0.813982,0.813982] area_under_roc_curve 0.827801 [0.827801,0.827801] area_under_roc_curve 0.816732 [0.816732,0.816732] area_under_roc_curve 0.82604 [0.82604,0.82604] area_under_roc_curve 0.827457 [0.827457,0.827457] area_under_roc_curve 0.814627 [0.814627,0.814627] area_under_roc_curve 0.824937 [0.824937,0.824937] area_under_roc_curve 0.807663 [0.807663,0.807663] area_under_roc_curve 0.839869 [0.839869,0.839869] area_under_roc_curve 0.789932 [0.789932,0.789932] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.752897 [0.733524,0.769231] f_measure 0.745405 [0.711246,0.774347] f_measure 0.742108 [0.703704,0.774648] f_measure 0.7471 [0.735376,0.757033] f_measure 0.739091 [0.724719,0.751269] f_measure 0.736282 [0.731707,0.740157] f_measure 0.761267 [0.727829,0.789598] f_measure 0.746156 [0.716418,0.771084] f_measure 0.768232 [0.74928,0.784119] f_measure 0.722372 [0.692308,0.747573] kappa 0.502843 kappa 0.486427 kappa 0.479859 kappa 0.493222 kappa 0.476526 kappa 0.474202 kappa 0.518433 kappa 0.487683 kappa 0.533482 kappa 0.439945 kb_relative_information_score 138.856217 kb_relative_information_score 143.156595 kb_relative_information_score 144.454849 kb_relative_information_score 146.063002 kb_relative_information_score 144.285062 kb_relative_information_score 136.750327 kb_relative_information_score 155.444691 kb_relative_information_score 139.3315 kb_relative_information_score 154.290466 kb_relative_information_score 127.038679 mean_absolute_error 0.323404 mean_absolute_error 0.317333 mean_absolute_error 0.314286 mean_absolute_error 0.3136 mean_absolute_error 0.314133 mean_absolute_error 0.325333 mean_absolute_error 0.300571 mean_absolute_error 0.321524 mean_absolute_error 0.304 mean_absolute_error 0.335619 mean_prior_absolute_error 0.496406 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496509 mean_prior_absolute_error 0.496284 mean_prior_absolute_error 0.496284 mean_prior_absolute_error 0.496284 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.753401 [0.723164,0.778894] precision 0.746567 [0.745223,0.747706] precision 0.744538 [0.75,0.73991] precision 0.749921 [0.705882,0.787234] precision 0.741028 [0.701087,0.774869] precision 0.743124 [0.685279,0.792135] precision 0.763059 [0.767742,0.759091] precision 0.74617 [0.731707,0.758294] precision 0.768738 [0.738636,0.79397] precision 0.722242 [0.700599,0.740385] predictive_accuracy 0.75266 predictive_accuracy 0.746667 predictive_accuracy 0.744 predictive_accuracy 0.746667 predictive_accuracy 0.738667 predictive_accuracy 0.736 predictive_accuracy 0.762667 predictive_accuracy 0.746667 predictive_accuracy 0.768 predictive_accuracy 0.722667 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 prior_entropy 0.994847 recall 0.75266 [0.744186,0.759804] recall 0.746667 [0.680233,0.802956] recall 0.744 [0.662791,0.812808] recall 0.746667 [0.767442,0.729064] recall 0.738667 [0.75,0.729064] recall 0.736 [0.784884,0.694581] recall 0.762667 [0.69186,0.82266] recall 0.746667 [0.701754,0.784314] recall 0.768 [0.760234,0.77451] recall 0.722667 [0.684211,0.754902] relative_absolute_error 0.651492 relative_absolute_error 0.639129 relative_absolute_error 0.632991 relative_absolute_error 0.63161 relative_absolute_error 0.632684 relative_absolute_error 0.655242 relative_absolute_error 0.60537 relative_absolute_error 0.647863 relative_absolute_error 0.612553 relative_absolute_error 0.676265 root_mean_prior_squared_error 0.498186 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498289 root_mean_prior_squared_error 0.498063 root_mean_prior_squared_error 0.498063 root_mean_prior_squared_error 0.498063 root_mean_squared_error 0.420296 root_mean_squared_error 0.411825 root_mean_squared_error 0.420236 root_mean_squared_error 0.411631 root_mean_squared_error 0.411501 root_mean_squared_error 0.420539 root_mean_squared_error 0.415286 root_mean_squared_error 0.423269 root_mean_squared_error 0.403386 root_mean_squared_error 0.435874 root_relative_squared_error 0.843653 root_relative_squared_error 0.826478 root_relative_squared_error 0.843358 root_relative_squared_error 0.826088 root_relative_squared_error 0.825828 root_relative_squared_error 0.843966 root_relative_squared_error 0.833424 root_relative_squared_error 0.849829 root_relative_squared_error 0.809908 root_relative_squared_error 0.875138 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0