Run
7931765

Run 7931765

Task 3 (Supervised Classification) kr-vs-kp Uploaded 11-09-2017 by Benjamin Strang
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Flow

sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer, estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(7)_axis0
sklearn.preprocessing.imputation.Imputer(7)_copytrue
sklearn.preprocessing.imputation.Imputer(7)_missing_values"NaN"
sklearn.preprocessing.imputation.Imputer(7)_strategy"mean"
sklearn.preprocessing.imputation.Imputer(7)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(2)_memorynull
sklearn.ensemble.forest.RandomForestClassifier(25)_bootstraptrue
sklearn.ensemble.forest.RandomForestClassifier(25)_class_weightnull
sklearn.ensemble.forest.RandomForestClassifier(25)_criterion"gini"
sklearn.ensemble.forest.RandomForestClassifier(25)_max_depthnull
sklearn.ensemble.forest.RandomForestClassifier(25)_max_features"auto"
sklearn.ensemble.forest.RandomForestClassifier(25)_max_leaf_nodesnull
sklearn.ensemble.forest.RandomForestClassifier(25)_min_impurity_decrease0.0
sklearn.ensemble.forest.RandomForestClassifier(25)_min_impurity_splitnull
sklearn.ensemble.forest.RandomForestClassifier(25)_min_samples_leaf1
sklearn.ensemble.forest.RandomForestClassifier(25)_min_samples_split2
sklearn.ensemble.forest.RandomForestClassifier(25)_min_weight_fraction_leaf0.0
sklearn.ensemble.forest.RandomForestClassifier(25)_n_estimators20
sklearn.ensemble.forest.RandomForestClassifier(25)_n_jobs1
sklearn.ensemble.forest.RandomForestClassifier(25)_oob_scorefalse
sklearn.ensemble.forest.RandomForestClassifier(25)_random_state21755
sklearn.ensemble.forest.RandomForestClassifier(25)_verbose0
sklearn.ensemble.forest.RandomForestClassifier(25)_warm_startfalse

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

0.9979 ± 0.0024
Per class
Cross-validation details (10-fold Crossvalidation)
0.9878 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
0.9755 ± 0.0161
Cross-validation details (10-fold Crossvalidation)
2885.3821 ± 3.7915
Cross-validation details (10-fold Crossvalidation)
0.0582 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
0.499 ± 0
Cross-validation details (10-fold Crossvalidation)
3196
Per class
Cross-validation details (10-fold Crossvalidation)
0.9878 ± 0.0079
Per class
Cross-validation details (10-fold Crossvalidation)
0.9878 ± 0.008
Cross-validation details (10-fold Crossvalidation)
0.9986
Cross-validation details (10-fold Crossvalidation)
0.9878 ± 0.008
Per class
Cross-validation details (10-fold Crossvalidation)
0.1166 ± 0.0118
Cross-validation details (10-fold Crossvalidation)
0.4995 ± 0
Cross-validation details (10-fold Crossvalidation)
0.1208 ± 0.0175
Cross-validation details (10-fold Crossvalidation)
0.2418 ± 0.0351
Cross-validation details (10-fold Crossvalidation)