Run
8886612

Run 8886612

Task 167132 (Supervised Classification) Speech Uploaded 17-03-2018 by Robin Vink
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Flow

sklearn.pipeline.Pipeline(reduce_dim=sklearn.decomposition.pca.PCA,logistic _reg=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C1.0
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_iter200
sklearn.linear_model.logistic.LogisticRegression(10)_multi_class"ovr"
sklearn.linear_model.logistic.LogisticRegression(10)_n_jobs-1
sklearn.linear_model.logistic.LogisticRegression(10)_penalty"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state5867
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_state60960
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(reduce_dim=sklearn.decomposition.pca.PCA,logistic_reg=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
0.7628 ± 0.1251
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9634 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.172 ± 0.1098
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-11851.6266 ± 181.3208
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0534 ± 0.0074
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
0.9743 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9542 ± 0.0116
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9542 ± 0.0116
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6289 ± 0.2479
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
0.1887 ± 0.0164
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4793 ± 0.1505
Cross-validation details (10-fold Crossvalidation)