Run
8886859

Run 8886859

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Dejan Kljajic
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA ,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(33)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(33)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(33)_criterion"entropy"
sklearn.ensemble.forest.RandomForestClassifier(33)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(33)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(33)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(33)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(33)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(33)_min_samples_split10
sklearn.ensemble.forest.RandomForestClassifier(33)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_n_estimators30
sklearn.ensemble.forest.RandomForestClassifier(33)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(33)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(33)_random_state25985
sklearn.ensemble.forest.RandomForestClassifier(33)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(33)_warm_startfalse
sklearn.decomposition.pca.PCA(3)_copytrue
sklearn.decomposition.pca.PCA(3)_iterated_power"auto"
sklearn.decomposition.pca.PCA(3)_n_componentsnull
sklearn.decomposition.pca.PCA(3)_random_state60512
sklearn.decomposition.pca.PCA(3)_svd_solver"auto"
sklearn.decomposition.pca.PCA(3)_tol0.0
sklearn.decomposition.pca.PCA(3)_whitenfalse
sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA,Classifier=sklearn.ensemble.forest.RandomForestClassifier)(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
0.6606 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2185 ± 0.0083
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1333 ± 0.0097
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2330.3322 ± 5.902
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1742 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2179 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2201 ± 0.0088
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.2201 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9679 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2945 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9818 ± 0.0015
Cross-validation details (10-fold Crossvalidation)