Run
8884952

Run 8884952

Task 3 (Supervised Classification) kr-vs-kp 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

0.9978 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
0.9834 ± 0.0088
Per class
Cross-validation details (10-fold Crossvalidation)
0.9667 ± 0.0176
Cross-validation details (10-fold Crossvalidation)
2862.4606 ± 4.9906
Cross-validation details (10-fold Crossvalidation)
0.061 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
3196
Per class
Cross-validation details (10-fold Crossvalidation)
0.9836 ± 0.0085
Per class
Cross-validation details (10-fold Crossvalidation)
0.9834 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
0.9986
Cross-validation details (10-fold Crossvalidation)
0.9834 ± 0.0087
Per class
Cross-validation details (10-fold Crossvalidation)
0.1221 ± 0.0154
Cross-validation details (10-fold Crossvalidation)
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1331 ± 0.0186
Cross-validation details (10-fold Crossvalidation)
0.2666 ± 0.0371
Cross-validation details (10-fold Crossvalidation)