Run
8149340

Run 8149340

Task 119 (Learning Curve) zoo Uploaded 18-10-2017 by Toon Van Craenendonck
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklear n.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC ))(1)Automatically created scikit-learn flow.
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_cvnull
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_error_score"raise"
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_fit_params{}
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_iidtrue
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_n_jobs1
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_param_grid{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_pre_dispatch"2*n_jobs"
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_refittrue
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_return_train_scoretrue
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_scoringnull
TESTfb6541bc26sklearn.model_selection._search.GridSearchCV(estimator=sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC))(1)_verbose0
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstraptrue
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_bootstrap_featuresfalse
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_features1.0
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_max_samples1.0
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_estimators10
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_n_jobs1
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_oob_scorefalse
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_random_state33003
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_verbose0
TESTfb6541bc26sklearn.ensemble.bagging.BaggingClassifier(base_estimator=sklearn.svm.classes.SVC)(1)_warm_startfalse
TESTfb6541bc26sklearn.svm.classes.SVC(1)_C1.0
TESTfb6541bc26sklearn.svm.classes.SVC(1)_cache_size200
TESTfb6541bc26sklearn.svm.classes.SVC(1)_class_weightnull
TESTfb6541bc26sklearn.svm.classes.SVC(1)_coef00.0
TESTfb6541bc26sklearn.svm.classes.SVC(1)_decision_function_shapenull
TESTfb6541bc26sklearn.svm.classes.SVC(1)_degree3
TESTfb6541bc26sklearn.svm.classes.SVC(1)_gamma"auto"
TESTfb6541bc26sklearn.svm.classes.SVC(1)_kernel"rbf"
TESTfb6541bc26sklearn.svm.classes.SVC(1)_max_iter-1
TESTfb6541bc26sklearn.svm.classes.SVC(1)_probabilityfalse
TESTfb6541bc26sklearn.svm.classes.SVC(1)_random_state62501
TESTfb6541bc26sklearn.svm.classes.SVC(1)_shrinkingtrue
TESTfb6541bc26sklearn.svm.classes.SVC(1)_tol0.001
TESTfb6541bc26sklearn.svm.classes.SVC(1)_verbosefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.9951 ± 0.0154
Per class
F measure
0.9583
Per class
Kappa
0.9478 ± 0.0739
KB relative information score
929.447 ± 0.7282
Mean absolute error
0.0165 ± 0.0141
Mean prior absolute error
0.2188 ± 0.0049
Number of instances
1010
Per class
Precision
0.959
Per class
Predictive accuracy
0.9604 ± 0.057
Prior entropy
2.4427
Recall
0.9604 ± 0.057
Per class
Relative absolute error
0.0756 ± 0.0633
Root mean prior squared error
0.3294 ± 0.0075
Root mean squared error
0.0927 ± 0.0599
Root relative squared error
0.2815 ± 0.1792