Run
1875097

Run 1875097

Task 2071 (Supervised Classification) adult Uploaded 31-03-2017 by Jeroen van Hoof
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  • NumPy_1.11.2. Python_3.5.3. run_task SciPy_0.18.1. sklearn.pipeline.Pipeline Sklearn_0.18.1. Thu_Mar_30_23.21.41_2017
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)Automatically created scikit-learn flow.
sklearn.ensemble.forest.RandomForestClassifier(16)_bootstrapTrue
sklearn.ensemble.forest.RandomForestClassifier(16)_class_weightNone
sklearn.ensemble.forest.RandomForestClassifier(16)_criteriongini
sklearn.ensemble.forest.RandomForestClassifier(16)_max_depth19
sklearn.ensemble.forest.RandomForestClassifier(16)_max_features0.9168631827321617
sklearn.ensemble.forest.RandomForestClassifier(16)_max_leaf_nodesNone
sklearn.ensemble.forest.RandomForestClassifier(16)_min_impurity_split1e-07
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_leaf31
sklearn.ensemble.forest.RandomForestClassifier(16)_min_samples_split52
sklearn.ensemble.forest.RandomForestClassifier(16)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(16)_n_estimators256
sklearn.ensemble.forest.RandomForestClassifier(16)_n_jobs-1
sklearn.ensemble.forest.RandomForestClassifier(16)_oob_scoreFalse
sklearn.ensemble.forest.RandomForestClassifier(16)_random_stateNone
sklearn.ensemble.forest.RandomForestClassifier(16)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(16)_warm_startFalse
sklearn.preprocessing.imputation.Imputer(3)_axis0
sklearn.preprocessing.imputation.Imputer(3)_copyTrue
sklearn.preprocessing.imputation.Imputer(3)_missing_valuesNaN
sklearn.preprocessing.imputation.Imputer(3)_strategymost_frequent
sklearn.preprocessing.imputation.Imputer(3)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)_steps[('imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='most_frequent', verbose=0)), ('randomforestclassifier', RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini', max_depth=19, max_features=0.9168631827321617, max_leaf_nodes=None, min_impurity_split=1e-07, min_samples_leaf=31, min_samples_split=52, min_weight_fraction_leaf=0.0, n_estimators=256, n_jobs=-1, oob_score=False, random_state=None, verbose=0, warm_start=False))]

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
0.9073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8501
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5755
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20348.7678
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2016
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3641
Cross-validation details (10-fold Crossvalidation)
Number of instances
48842
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8493
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8556
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7939
Cross-validation details (10-fold Crossvalidation)
Recall
0.8556
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5537
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4266
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3171
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7433
Cross-validation details (10-fold Crossvalidation)