Run
8886001

Run 8886001

Task 145677 (Supervised Classification) Bioresponse Uploaded 15-03-2018 by Robin Vink
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Flow

sklearn.pipeline.Pipeline(feature_reduce=sklearn.decomposition.pca.PCA,clas sifier=sklearn.svm.classes.SVC)(1)Automatically created scikit-learn flow.
sklearn.svm.classes.SVC(16)_C332.14597596909255
sklearn.svm.classes.SVC(16)_cache_size200
sklearn.svm.classes.SVC(16)_class_weightnull
sklearn.svm.classes.SVC(16)_coef00.0
sklearn.svm.classes.SVC(16)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(16)_degree3
sklearn.svm.classes.SVC(16)_gamma0.05858997936587849
sklearn.svm.classes.SVC(16)_kernel"rbf"
sklearn.svm.classes.SVC(16)_max_iter-1
sklearn.svm.classes.SVC(16)_probabilityfalse
sklearn.svm.classes.SVC(16)_random_state0
sklearn.svm.classes.SVC(16)_shrinkingtrue
sklearn.svm.classes.SVC(16)_tol0.001
sklearn.svm.classes.SVC(16)_verbosefalse
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components0.9
sklearn.decomposition.pca.PCA(2)_random_state58799
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(feature_reduce=sklearn.decomposition.pca.PCA,classifier=sklearn.svm.classes.SVC)(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
0.7449 ± 0.0253
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.749 ± 0.0246
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4935 ± 0.0498
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1859.565 ± 18.3407
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2495 ± 0.024
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4964 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Number of instances
3751
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7506 ± 0.0239
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7505 ± 0.024
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9948
Cross-validation details (10-fold Crossvalidation)
Recall
0.7505 ± 0.024
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5027 ± 0.0484
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4982 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4995 ± 0.0244
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0027 ± 0.049
Cross-validation details (10-fold Crossvalidation)