Run
8885902

Run 8885902

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Yuntao Li
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Flow

imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler ,decomp=sklearn.decomposition.pca.PCA,logistic=sklearn.linear_model.logisti c.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.StandardScaler(5)_copytrue
sklearn.preprocessing.data.StandardScaler(5)_with_meantrue
sklearn.preprocessing.data.StandardScaler(5)_with_stdtrue
sklearn.linear_model.logistic.LogisticRegression(10)_C0.01
sklearn.linear_model.logistic.LogisticRegression(10)_class_weight"balanced"
sklearn.linear_model.logistic.LogisticRegression(10)_dualfalse
sklearn.linear_model.logistic.LogisticRegression(10)_fit_intercepttrue
sklearn.linear_model.logistic.LogisticRegression(10)_intercept_scaling1
sklearn.linear_model.logistic.LogisticRegression(10)_max_iter100
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l1"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state39987
sklearn.linear_model.logistic.LogisticRegression(10)_solver"liblinear"
sklearn.linear_model.logistic.LogisticRegression(10)_tol0.0001
sklearn.linear_model.logistic.LogisticRegression(10)_verbose0
sklearn.linear_model.logistic.LogisticRegression(10)_warm_startfalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_componentsnull
sklearn.decomposition.pca.PCA(2)_random_state30312
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
imblearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,decomp=sklearn.decomposition.pca.PCA,logistic=sklearn.linear_model.logistic.LogisticRegression)(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
0.8555 ± 0.05
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8814 ± 0.0106
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0843 ± 0.0259
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-103512.7972 ± 141.6614
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2898 ± 0.0068
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
0.9788 ± 0.0035
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8112 ± 0.0167
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.8112 ± 0.0167
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
8.8348 ± 0.2374
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
0.363 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.8452 ± 0.0821
Cross-validation details (10-fold Crossvalidation)