Run
8886105

Run 8886105

Task 167133 (Supervised Classification) CIFAR_10_small Uploaded 16-03-2018 by jelle dikker
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Flow

sklearn.pipeline.Pipeline(FA=sklearn.decomposition.factor_analysis.FactorAn alysis,scaler=sklearn.preprocessing.data.RobustScaler,GaussianNB=sklearn.na ive_bayes.GaussianNB)(1)Automatically created scikit-learn flow.
sklearn.naive_bayes.GaussianNB(7)_priorsnull
sklearn.preprocessing.data.RobustScaler(2)_copytrue
sklearn.preprocessing.data.RobustScaler(2)_quantile_range[25.0, 75.0]
sklearn.preprocessing.data.RobustScaler(2)_with_centeringtrue
sklearn.preprocessing.data.RobustScaler(2)_with_scalingtrue
sklearn.pipeline.Pipeline(FA=sklearn.decomposition.factor_analysis.FactorAnalysis,scaler=sklearn.preprocessing.data.RobustScaler,GaussianNB=sklearn.naive_bayes.GaussianNB)(1)_memorynull
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_copytrue
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_iterated_power3
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_max_iter5
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_n_components30
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_noise_variance_initnull
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_random_state0
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_svd_method"randomized"
sklearn.decomposition.factor_analysis.FactorAnalysis(1)_tol0.01

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
0.7875 ± 0.0055
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3646 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3033 ± 0.0139
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7000.3967 ± 11.4145
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1428 ± 0.001
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
0.3724 ± 0.0121
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3731 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.3731 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7934 ± 0.0057
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2821 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9404 ± 0.0051
Cross-validation details (10-fold Crossvalidation)