Run
8886668

Run 8886668

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 17-03-2018 by Dejan Kljajic
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Flow

sklearn.pipeline.Pipeline(dimension_reduction=sklearn.decomposition.pca.PCA ,Classifier=sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn .neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.R andomForestClassifier))(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"gini"
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_split2
sklearn.ensemble.forest.RandomForestClassifier(33)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(33)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(33)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(33)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(33)_random_state35079
sklearn.ensemble.forest.RandomForestClassifier(33)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(33)_warm_startfalse
sklearn.neighbors.classification.KNeighborsClassifier(21)_algorithm"auto"
sklearn.neighbors.classification.KNeighborsClassifier(21)_leaf_size30
sklearn.neighbors.classification.KNeighborsClassifier(21)_metric"minkowski"
sklearn.neighbors.classification.KNeighborsClassifier(21)_metric_paramsnull
sklearn.neighbors.classification.KNeighborsClassifier(21)_n_jobs1
sklearn.neighbors.classification.KNeighborsClassifier(21)_n_neighbors5
sklearn.neighbors.classification.KNeighborsClassifier(21)_p2
sklearn.neighbors.classification.KNeighborsClassifier(21)_weights"uniform"
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_state26719
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.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier))(1)_memorynull
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier)(2)_flatten_transformnull
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier)(2)_n_jobs1
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier)(2)_voting"soft"
sklearn.ensemble.voting_classifier.VotingClassifier(knn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier)(2)_weights[60, 1]

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
0.7339 ± 0.0064
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.305 ± 0.0054
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2417 ± 0.0081
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6703.8093 ± 14.31
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1467 ± 0.0011
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
0.4053 ± 0.0084
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.318 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.318 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8148 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2992 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9973 ± 0.007
Cross-validation details (10-fold Crossvalidation)