Run
8885438

Run 8885438

Task 167132 (Supervised Classification) Speech Uploaded 14-03-2018 by Leroy Visser
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.PolynomialFeatu res,scaler2=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.neigh bors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.neighbors.classification.KNeighborsClassifier(20)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(20)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(20)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_jobs-1
sklearn.neighbors.classification.KNeighborsClassifier(20)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(20)_p2
sklearn.neighbors.classification.KNeighborsClassifier(20)_weights"uniform"
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.preprocessing.data.PolynomialFeatures(2)_degree2
sklearn.preprocessing.data.PolynomialFeatures(2)_include_biastrue
sklearn.preprocessing.data.PolynomialFeatures(2)_interaction_onlyfalse
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.PolynomialFeatures,scaler2=sklearn.preprocessing.data.MinMaxScaler,estimator=sklearn.neighbors.classification.KNeighborsClassifier)(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.

15 Evaluation measures

Area under ROC curve
0.6759 ± 0.1302
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
381.7643 ± 74.5076
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.017 ± 0.0014
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
0.5194 ± 0.0408
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
0.1206 ± 0.0074
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9452 ± 0.0591
Cross-validation details (10-fold Crossvalidation)