Run
8886625

Run 8886625

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_weightnull
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"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state52380
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_state22238
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
0.765 ± 0.1254
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9773 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2537 ± 0.2456
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-5773.592 ± 124.8703
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0309 ± 0.0035
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
0.9759 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9788 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9788 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9408 ± 0.1192
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
0.1368 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0721 ± 0.1191
Cross-validation details (10-fold Crossvalidation)