Run
8885575

Run 8885575

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by jiawen wang
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Flow

sklearn.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.Standard Scaler,classifier=sklearn.ensemble.forest.ExtraTreesClassifier)(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.pipeline.Pipeline(preprocessing=sklearn.preprocessing.data.StandardScaler,classifier=sklearn.ensemble.forest.ExtraTreesClassifier)(1)_memorynull
sklearn.ensemble.forest.ExtraTreesClassifier(8)_bootstrapfalse
sklearn.ensemble.forest.ExtraTreesClassifier(8)_class_weightnull
sklearn.ensemble.forest.ExtraTreesClassifier(8)_criterion"gini"
sklearn.ensemble.forest.ExtraTreesClassifier(8)_max_depthnull
sklearn.ensemble.forest.ExtraTreesClassifier(8)_max_features"auto"
sklearn.ensemble.forest.ExtraTreesClassifier(8)_max_leaf_nodesnull
sklearn.ensemble.forest.ExtraTreesClassifier(8)_min_impurity_decrease0.0
sklearn.ensemble.forest.ExtraTreesClassifier(8)_min_impurity_splitnull
sklearn.ensemble.forest.ExtraTreesClassifier(8)_min_samples_leaf1
sklearn.ensemble.forest.ExtraTreesClassifier(8)_min_samples_split2
sklearn.ensemble.forest.ExtraTreesClassifier(8)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.ExtraTreesClassifier(8)_n_estimators100
sklearn.ensemble.forest.ExtraTreesClassifier(8)_n_jobs1
sklearn.ensemble.forest.ExtraTreesClassifier(8)_oob_scorefalse
sklearn.ensemble.forest.ExtraTreesClassifier(8)_random_state37460
sklearn.ensemble.forest.ExtraTreesClassifier(8)_verbose0
sklearn.ensemble.forest.ExtraTreesClassifier(8)_warm_startfalse

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.

15 Evaluation measures

Area under ROC curve
0.7358 ± 0.1593
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-12978.7129 ± 176.4059
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0362 ± 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)
Predictive accuracy
0.9835 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9835 ± 0.0009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1023 ± 0.0545
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
0.1256 ± 0.004
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9847 ± 0.0222
Cross-validation details (10-fold Crossvalidation)