Run
9201765

Run 9201765

Task 3903 (Supervised Classification) pc3 Uploaded 26-05-2018 by João Freitas
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Flow

sklearn.pipeline.Pipeline(rfe=sklearn.feature_selection.rfe.RFE(estimator=s klearn.ensemble.forest.ExtraTreesClassifier),linearsvc=sklearn.svm.classes. LinearSVC)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.ExtraTreesClassifier(9)_bootstrapfalse
sklearn.ensemble.forest.ExtraTreesClassifier(9)_class_weightnull
sklearn.ensemble.forest.ExtraTreesClassifier(9)_criterion"gini"
sklearn.ensemble.forest.ExtraTreesClassifier(9)_max_depthnull
sklearn.ensemble.forest.ExtraTreesClassifier(9)_max_features0.8
sklearn.ensemble.forest.ExtraTreesClassifier(9)_max_leaf_nodesnull
sklearn.ensemble.forest.ExtraTreesClassifier(9)_min_impurity_decrease0.0
sklearn.ensemble.forest.ExtraTreesClassifier(9)_min_impurity_splitnull
sklearn.ensemble.forest.ExtraTreesClassifier(9)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(9)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(9)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(9)_n_estimators100
sklearn.ensemble.forest.ExtraTreesClassifier(9)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(9)_oob_scorefalse
sklearn.ensemble.forest.ExtraTreesClassifier(9)_random_state2727
sklearn.ensemble.forest.ExtraTreesClassifier(9)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(9)_warm_startfalse
sklearn.pipeline.Pipeline(rfe=sklearn.feature_selection.rfe.RFE(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),linearsvc=sklearn.svm.classes.LinearSVC)(1)_memorynull
sklearn.feature_selection.rfe.RFE(estimator=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_n_features_to_selectnull
sklearn.feature_selection.rfe.RFE(estimator=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_step0.5
sklearn.feature_selection.rfe.RFE(estimator=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_verbose0
sklearn.svm.classes.LinearSVC(6)_C0.001
sklearn.svm.classes.LinearSVC(6)_class_weightnull
sklearn.svm.classes.LinearSVC(6)_dualfalse
sklearn.svm.classes.LinearSVC(6)_fit_intercepttrue
sklearn.svm.classes.LinearSVC(6)_intercept_scaling1
sklearn.svm.classes.LinearSVC(6)_loss"squared_hinge"
sklearn.svm.classes.LinearSVC(6)_max_iter1000
sklearn.svm.classes.LinearSVC(6)_multi_class"ovr"
sklearn.svm.classes.LinearSVC(6)_penalty"l2"
sklearn.svm.classes.LinearSVC(6)_random_state39429
sklearn.svm.classes.LinearSVC(6)_tol0.001
sklearn.svm.classes.LinearSVC(6)_verbose0

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.

17 Evaluation measures

0.5474 ± 0.0363
Per class
Cross-validation details (10-fold Crossvalidation)
0.867 ± 0.0152
Per class
Cross-validation details (10-fold Crossvalidation)
0.1463 ± 0.1055
Cross-validation details (10-fold Crossvalidation)
414.4298 ± 12.3635
Cross-validation details (10-fold Crossvalidation)
0.1017 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
0.1842 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
1563
Per class
Cross-validation details (10-fold Crossvalidation)
0.8665 ± 0.0344
Per class
Cross-validation details (10-fold Crossvalidation)
0.8983 ± 0.0109
Cross-validation details (10-fold Crossvalidation)
0.478
Cross-validation details (10-fold Crossvalidation)
0.8983 ± 0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
0.5523 ± 0.0597
Cross-validation details (10-fold Crossvalidation)
0.3031 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
0.3189 ± 0.0177
Cross-validation details (10-fold Crossvalidation)
1.0522 ± 0.0589
Cross-validation details (10-fold Crossvalidation)