Run
8886879

Run 8886879

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Xinyi Kong
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.Normalizer,pac =sklearn.decomposition.pca.PCA,oversample=imblearn.over_sampling.adasyn.ADA SYN,classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors23
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components400
sklearn.decomposition.pca.PCA(2)_random_state19611
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.preprocessing.data.Normalizer(1)_copytrue
sklearn.preprocessing.data.Normalizer(1)_norm"l2"
imblearn.over_sampling.adasyn.ADASYN(1)_knull
imblearn.over_sampling.adasyn.ADASYN(1)_n_jobs1
imblearn.over_sampling.adasyn.ADASYN(1)_n_neighbors5
imblearn.over_sampling.adasyn.ADASYN(1)_random_state42
imblearn.over_sampling.adasyn.ADASYN(1)_ratio"auto"
imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.Normalizer,pac=sklearn.decomposition.pca.PCA,oversample=imblearn.over_sampling.adasyn.ADASYN,classifier=sklearn.neighbors.classification.KNeighborsClassifier)(1)_memorynull

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

Area under ROC curve
0.976 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0027 ± 0.0001
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0 ± 0
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-166904.7652 ± 47.2997
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.9033 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0328 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
3686
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9837 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0176 ± 0.0019
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.0176 ± 0.0019
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
27.5356 ± 0.7224
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1276 ± 0.0031
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.9124 ± 0.0033
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
7.1517 ± 0.1801
Cross-validation details (10-fold Crossvalidation)