Run
8885037

Run 8885037

Task 167132 (Supervised Classification) Speech Uploaded 13-03-2018 by Martijn Schalken
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,cl assifier=sklearn.linear_model.logistic.LogisticRegression)(1)Automatically created scikit-learn flow.
sklearn.linear_model.logistic.LogisticRegression(10)_C5e-05
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"l2"
sklearn.linear_model.logistic.LogisticRegression(10)_random_state42250
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.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.RobustScaler,classifier=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
0.8612 ± 0.0639
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6859 ± 0.0211
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0333 ± 0.01
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-141352.8789 ± 31.5812
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4973 ± 0.0015
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
0.9825 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5415 ± 0.0252
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.5415 ± 0.0252
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
15.159 ± 0.3667
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
0.4981 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
3.9046 ± 0.0926
Cross-validation details (10-fold Crossvalidation)