Run
8885493

Run 8885493

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 14-03-2018 by Leroy Visser
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Flow

sklearn.pipeline.Pipeline(scaler2=sklearn.preprocessing.data.MinMaxScaler,P CA=sklearn.decomposition.pca.PCA,estimator=sklearn.ensemble.forest.RandomFo restClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(32)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(32)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(32)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(32)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(32)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(32)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(32)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(32)_n_estimators10
sklearn.ensemble.forest.RandomForestClassifier(32)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(32)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(32)_random_state44394
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.preprocessing.data.MinMaxScaler(3)_copytrue
sklearn.preprocessing.data.MinMaxScaler(3)_feature_range[0, 1]
sklearn.decomposition.pca.PCA(2)_copytrue
sklearn.decomposition.pca.PCA(2)_iterated_power"auto"
sklearn.decomposition.pca.PCA(2)_n_components50
sklearn.decomposition.pca.PCA(2)_random_state36811
sklearn.decomposition.pca.PCA(2)_svd_solver"auto"
sklearn.decomposition.pca.PCA(2)_tol0.0
sklearn.decomposition.pca.PCA(2)_whitenfalse
sklearn.pipeline.Pipeline(scaler2=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,estimator=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
0.7167 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3001 ± 0.0089
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2239 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5114.6531 ± 12.74
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.159 ± 0.0009
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
0.3089 ± 0.01
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3016 ± 0.0086
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3016 ± 0.0086
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8835 ± 0.0047
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2881 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9603 ± 0.0043
Cross-validation details (10-fold Crossvalidation)