Run
8885921

Run 8885921

Task 167132 (Supervised Classification) Speech Uploaded 15-03-2018 by Manuel Muñoz
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,kn n=sklearn.neighbors.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.pipeline.Pipeline(scaler=sklearn.preprocessing.data.MinMaxScaler,knn=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
0.8163 ± 0.1081
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9782 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1467 ± 0.1726
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-12026.3498 ± 390.2016
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0399 ± 0.0075
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
0.9823 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9845 ± 0.0018
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.1231
Cross-validation details (10-fold Crossvalidation)
Recall
0.9845 ± 0.0018
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2174 ± 0.2305
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
0.1274 ± 0.009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9987 ± 0.0747
Cross-validation details (10-fold Crossvalidation)