Run
8872523

Run 8872523

Task 167132 (Supervised Classification) Speech Uploaded 08-03-2018 by Thomas Mulder
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,On eHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=sklearn.nei ghbors.classification.KNeighborsClassifier)(1)Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(17)_categorical_features"all"
sklearn.preprocessing.data.OneHotEncoder(17)_dtype{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(17)_handle_unknown"ignore"
sklearn.preprocessing.data.OneHotEncoder(17)_n_values"auto"
sklearn.preprocessing.data.OneHotEncoder(17)_sparsefalse
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_jobs1
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.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Classifier=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.

17 Evaluation measures

Area under ROC curve
0.4994 ± 0.001
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9751
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0005 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
KB relative information score
570.0901 ± 26.0168
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0169 ± 0.0011
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
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9832 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9832 ± 0.0011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5161 ± 0.027
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
0.1293 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0133 ± 0.0133
Cross-validation details (10-fold Crossvalidation)