Run
8884972

Run 8884972

Task 43 (Supervised Classification) spambase Uploaded 13-03-2018 by vittorio silva
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(15)_axis0
sklearn.preprocessing.imputation.Imputer(15)_copytrue
sklearn.preprocessing.imputation.Imputer(15)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(15)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(15)_verbose0
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_state51324
sklearn.ensemble.forest.RandomForestClassifier(32)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(32)_warm_startfalse
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2)_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

0.9803 ± 0.0081
Per class
Cross-validation details (10-fold Crossvalidation)
0.9452 ± 0.0149
Per class
Cross-validation details (10-fold Crossvalidation)
0.8848 ± 0.0316
Cross-validation details (10-fold Crossvalidation)
3703.0522 ± 10.6584
Cross-validation details (10-fold Crossvalidation)
0.1017 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
0.4776 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
4601
Per class
Cross-validation details (10-fold Crossvalidation)
0.9457 ± 0.0143
Per class
Cross-validation details (10-fold Crossvalidation)
0.9454 ± 0.0147
Cross-validation details (10-fold Crossvalidation)
0.9674
Cross-validation details (10-fold Crossvalidation)
0.9454 ± 0.0147
Per class
Cross-validation details (10-fold Crossvalidation)
0.213 ± 0.0219
Cross-validation details (10-fold Crossvalidation)
0.4886 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
0.2104 ± 0.0206
Cross-validation details (10-fold Crossvalidation)
0.4306 ± 0.0421
Cross-validation details (10-fold Crossvalidation)